About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the role As a Lead Research Scientist at Faculty, you will be leading scientific research, and other researchers, in the area of AI safety that progresses scientific understanding. You will contribute to both external publications, and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Research Leadership: Lead the AI safety team's research agenda, setting priorities and ensuring alignment with Faculty's long-term goals. Conduct and oversee the development of cutting-edge AI safety research, with a focus on large language models and other safety-critical AI systems. Publish high-impact research in leading conferences and journals (e.g., NeurIPS, ACL, ICML, ICLR, AAAI). Support Faculty's positioning as a leader in AI safety through thought leadership and stakeholder engagement. Research Agenda Development: Shape our research agenda by identifying impactful research opportunities and balancing scientific and practical priorities. Interface with the wider business to ensure alignment between the R&D team's research efforts and the company's long term goals with a specific focus in the AI safety and commercial projects in the space. Team Management and Mentorship: Build and lead a growing team of researchers, fostering a collaborative and innovative culture across a wide-range of AI Safety-relevant research topics. Provide mentorship and technical guidance to researchers across diverse AI safety topics. Technical Contributions: Lead hands-on contributions to technical research. Collaborate on delivery of evaluations and red-teaming projects in high-risk domains, such as CBRN and cybersecurity, with a focus on government and commercial partners. Who we are looking for A proven track record of high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety, with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability). Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and professional development of others. Excellent verbal and written communication skills. The following would be a bonus, but are by no means required: Commercial experience applying AI safety principles in practical or high-stakes contexts. Background in red-teaming, evaluations, or safety testing for government or industry applications. We welcome applicants who have academic research experience in a STEM or related subject. A PhD is great, but certainly not necessary. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Jun 10, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the role As a Lead Research Scientist at Faculty, you will be leading scientific research, and other researchers, in the area of AI safety that progresses scientific understanding. You will contribute to both external publications, and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Research Leadership: Lead the AI safety team's research agenda, setting priorities and ensuring alignment with Faculty's long-term goals. Conduct and oversee the development of cutting-edge AI safety research, with a focus on large language models and other safety-critical AI systems. Publish high-impact research in leading conferences and journals (e.g., NeurIPS, ACL, ICML, ICLR, AAAI). Support Faculty's positioning as a leader in AI safety through thought leadership and stakeholder engagement. Research Agenda Development: Shape our research agenda by identifying impactful research opportunities and balancing scientific and practical priorities. Interface with the wider business to ensure alignment between the R&D team's research efforts and the company's long term goals with a specific focus in the AI safety and commercial projects in the space. Team Management and Mentorship: Build and lead a growing team of researchers, fostering a collaborative and innovative culture across a wide-range of AI Safety-relevant research topics. Provide mentorship and technical guidance to researchers across diverse AI safety topics. Technical Contributions: Lead hands-on contributions to technical research. Collaborate on delivery of evaluations and red-teaming projects in high-risk domains, such as CBRN and cybersecurity, with a focus on government and commercial partners. Who we are looking for A proven track record of high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety, with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability). Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and professional development of others. Excellent verbal and written communication skills. The following would be a bonus, but are by no means required: Commercial experience applying AI safety principles in practical or high-stakes contexts. Background in red-teaming, evaluations, or safety testing for government or industry applications. We welcome applicants who have academic research experience in a STEM or related subject. A PhD is great, but certainly not necessary. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About this role: This is a hugely exciting opportunity to lead and build out Faculty's growing AI work in the education sector. With the advent of LLMs and AI agents, AI holds huge potential for transforming many aspects of education - across classroom teaching and learning, enabling personalised digital learning, augmenting and differentiating education content, and improving back-off operations.Faculty has been at the forefront of this change: we are the key AI partner for UK government in education including building the flagship 'AI Education Content Store', and work with some of the world's leading school groups, education companies, ed-tech startups, and assessment organisations to help them to successfully innovate with AI and embed it into their core products and operations. We are looking to hire a Head of Education Sector as a newly created role to capitalise on this early success and significantly grow our portfolio of clients in the sector. We are looking for someone with strong expertise in the commercial education sector, to complement our existing strength in government and the state education sector. We are open minded about your career background, but expect the appointed candidate to have wide and deep understanding of the largest education solution providers (our target clients), their product portfolios, customers, users, and use cases, and the competitive landscape they operate in. You will use this to identify and guide how AI can enable a next generation of solutions for these clients. We are also open minded about whether your background is in K12, Higher Education, or ELT, and are keen for you to help shape our strategy for growth - by identifying and prioritising client types, sector focus, and geographies (we have had success in the UK and US so far).You will lead on defining our go-to-market strategy in education and sharpen our core offerings for the sector, help us win new clients, nurture new and existing clients into long-running accounts which drive mutual long-term value, and make sure that our delivery is grounded in value creation for our clients and evolving our services as they mature. You will have close support to succeed in all this from Faculty's Managing Director of Applied AI, who was previously Head of Strategy at the UK Department for Education; and Faculty's senior external Education Advisor, who's had a 30 year career in edt-ech and previously built some of Pearson's most successful global digital learning products.And by leading Faculty's important work in this space, you will have the exciting opportunity to be at the forefront of how AI will transform education. Role Specific Responsibilities: Sales and Revenue growth: Achieve or exceed sales targets, by winning new clients across global Education and deepening our success with existing clients. This will have a particular focus on commercial education companies, including large education companies, large school groups, and edtech providers globally - across K12, Higher Education and English Language Teaching Sector strategy: Develop and own a strategy for growing Faculty's portfolio in Education that is aligned with Faculty as a whole, working closely with Faculty's Managing Director (who has an Education background), and Faculty's external Education adviser - e.g. defining where to focus and which companies to target and why Sector offerings: Develop a compelling set of offerings to help clients use AI at scale, utilising your deep knowledge of the sector and a conceptual understanding of how AI can be used to build next-generation education solutions Strategic partnerships: Develop and establish partnerships with other firms that can drive Faculty's growth, and find ways to make useful joins across the sector Account oversight: Build and oversee Faculty's key accounts in Education, nurturing ongoing client relationships which deliver revenue over multiple engagements and drive lasting value and impact Delivery enablement: Provide oversight of deliverables for education clients, using your sector expertise to steer delivery teams and ensure high-quality outcomes Client management: Foster strong relationships with key customers and C-suite stakeholders Thought leadership: Build Faculty's profile in the education sector by delivering original and creative insights about AI in education through high-profile speaking engagements and publications Skills and experience required: Industry expertise: Deep knowledge and experience of the commercial education sector, including market segmentation, key value drivers, and pain points Digital learning expertise: Knowledge of the digital learning or edtech markets, including what is involved in building successful digital learning products, commercial considerations, and opportunities for AI Applied AI knowledge: Broad conceptual understanding of AI and its relevance to the education sector. And, a curiosity to continually learn about new capabilities Sales acumen: Skilled at selling and building and cultivating strong relationships with senior clients Creativity: Strong ability to identify new market opportunities and develop differentiated propositions that can set Faculty apart from other firms in the market; ability to be a 'thought partner', helping clients ideate and solutionise about how to use AI Persuasiveness: Exceptional communicator who can articulate complex ideas clearly for diverse audiences, from C-suite executives to technical teams, in ways that inspire confidence and followership Commercial nous: Sharp commercial sensibilities, with the ability to deftly balance staffing for successful client delivery with pricing that secures client buy-in, and to build lasting profitable accounts with key customers Leadership: Proven capability to inspire and motivate others, being both relatable and capable of having challenging conversation What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Jun 05, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About this role: This is a hugely exciting opportunity to lead and build out Faculty's growing AI work in the education sector. With the advent of LLMs and AI agents, AI holds huge potential for transforming many aspects of education - across classroom teaching and learning, enabling personalised digital learning, augmenting and differentiating education content, and improving back-off operations.Faculty has been at the forefront of this change: we are the key AI partner for UK government in education including building the flagship 'AI Education Content Store', and work with some of the world's leading school groups, education companies, ed-tech startups, and assessment organisations to help them to successfully innovate with AI and embed it into their core products and operations. We are looking to hire a Head of Education Sector as a newly created role to capitalise on this early success and significantly grow our portfolio of clients in the sector. We are looking for someone with strong expertise in the commercial education sector, to complement our existing strength in government and the state education sector. We are open minded about your career background, but expect the appointed candidate to have wide and deep understanding of the largest education solution providers (our target clients), their product portfolios, customers, users, and use cases, and the competitive landscape they operate in. You will use this to identify and guide how AI can enable a next generation of solutions for these clients. We are also open minded about whether your background is in K12, Higher Education, or ELT, and are keen for you to help shape our strategy for growth - by identifying and prioritising client types, sector focus, and geographies (we have had success in the UK and US so far).You will lead on defining our go-to-market strategy in education and sharpen our core offerings for the sector, help us win new clients, nurture new and existing clients into long-running accounts which drive mutual long-term value, and make sure that our delivery is grounded in value creation for our clients and evolving our services as they mature. You will have close support to succeed in all this from Faculty's Managing Director of Applied AI, who was previously Head of Strategy at the UK Department for Education; and Faculty's senior external Education Advisor, who's had a 30 year career in edt-ech and previously built some of Pearson's most successful global digital learning products.And by leading Faculty's important work in this space, you will have the exciting opportunity to be at the forefront of how AI will transform education. Role Specific Responsibilities: Sales and Revenue growth: Achieve or exceed sales targets, by winning new clients across global Education and deepening our success with existing clients. This will have a particular focus on commercial education companies, including large education companies, large school groups, and edtech providers globally - across K12, Higher Education and English Language Teaching Sector strategy: Develop and own a strategy for growing Faculty's portfolio in Education that is aligned with Faculty as a whole, working closely with Faculty's Managing Director (who has an Education background), and Faculty's external Education adviser - e.g. defining where to focus and which companies to target and why Sector offerings: Develop a compelling set of offerings to help clients use AI at scale, utilising your deep knowledge of the sector and a conceptual understanding of how AI can be used to build next-generation education solutions Strategic partnerships: Develop and establish partnerships with other firms that can drive Faculty's growth, and find ways to make useful joins across the sector Account oversight: Build and oversee Faculty's key accounts in Education, nurturing ongoing client relationships which deliver revenue over multiple engagements and drive lasting value and impact Delivery enablement: Provide oversight of deliverables for education clients, using your sector expertise to steer delivery teams and ensure high-quality outcomes Client management: Foster strong relationships with key customers and C-suite stakeholders Thought leadership: Build Faculty's profile in the education sector by delivering original and creative insights about AI in education through high-profile speaking engagements and publications Skills and experience required: Industry expertise: Deep knowledge and experience of the commercial education sector, including market segmentation, key value drivers, and pain points Digital learning expertise: Knowledge of the digital learning or edtech markets, including what is involved in building successful digital learning products, commercial considerations, and opportunities for AI Applied AI knowledge: Broad conceptual understanding of AI and its relevance to the education sector. And, a curiosity to continually learn about new capabilities Sales acumen: Skilled at selling and building and cultivating strong relationships with senior clients Creativity: Strong ability to identify new market opportunities and develop differentiated propositions that can set Faculty apart from other firms in the market; ability to be a 'thought partner', helping clients ideate and solutionise about how to use AI Persuasiveness: Exceptional communicator who can articulate complex ideas clearly for diverse audiences, from C-suite executives to technical teams, in ways that inspire confidence and followership Commercial nous: Sharp commercial sensibilities, with the ability to deftly balance staffing for successful client delivery with pricing that secures client buy-in, and to build lasting profitable accounts with key customers Leadership: Proven capability to inspire and motivate others, being both relatable and capable of having challenging conversation What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the Role We're actively seeking a highly skilled Principal Engineer to drive our cutting-edge product, Frontier. This pivotal role combines deep technical prowess with a customer-centric approach, as you collaborate directly with internal stakeholders across Faculty to implement Frontier. As we continue to expand our platform's reach, you'll have the unique opportunity to build a scalable AI focussed product, whilst leading the way in best technical practices. In this role, you'll be immersed in hands-on work, tackling complex real-world challenges using state-of-the-art technology. From optimising multinational supply chain logistics to reducing time-to-market for clinical trials and supporting sustainability goals in various industries, Frontier empowers organisations to make informed decisions through AI-driven insights. What You'll Be Doing As a leader within our Frontier Platform team, you'll play a key role in building the product to ensure the scalability for seamless deployment to multiple customers, leveraging your expertise to build robust infrastructure, integrate with operational systems, and evolve our proprietary simulation technology. Role Responsibilities: Lead a small team of engineers, with a hands-on focus on platform engineering, ML Ops and Simulation Establish and optimise engineering processes for designing, developing, and scaling customer-facing platform components, with a specific emphasis on Machine Learning systems Collaborate with the Director of Delivery (and other cross-functional peers) to ensure customer specific deployments of Frontier are successful Mentor and up-skill the existing engineering team in your areas of technical expertise Solve technical problems few others in the organisation can Who We're Looking For Must Have Requirements: Proven experience building products with a data science, scientific computing, simulation and/or Machine Learning core. Previous experience in technical leadership, with a passion for leading effective engineering teams. Significant expertise in designing, developing, and scaling software components in a distributed system, preferably with a focus on Machine Learning. Proficiency in Python programming. Extensive knowledge of cloud operations, particularly in AWS. Experience working with IaC, preferably Terraform, and automation. Nice to Have's: Experience in delivering SaaS products Understanding of software support, maintenance, and upgrade processes Strong analytical and problem-solving abilities Excellent communication and team collaboration skills What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Jun 04, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the Role We're actively seeking a highly skilled Principal Engineer to drive our cutting-edge product, Frontier. This pivotal role combines deep technical prowess with a customer-centric approach, as you collaborate directly with internal stakeholders across Faculty to implement Frontier. As we continue to expand our platform's reach, you'll have the unique opportunity to build a scalable AI focussed product, whilst leading the way in best technical practices. In this role, you'll be immersed in hands-on work, tackling complex real-world challenges using state-of-the-art technology. From optimising multinational supply chain logistics to reducing time-to-market for clinical trials and supporting sustainability goals in various industries, Frontier empowers organisations to make informed decisions through AI-driven insights. What You'll Be Doing As a leader within our Frontier Platform team, you'll play a key role in building the product to ensure the scalability for seamless deployment to multiple customers, leveraging your expertise to build robust infrastructure, integrate with operational systems, and evolve our proprietary simulation technology. Role Responsibilities: Lead a small team of engineers, with a hands-on focus on platform engineering, ML Ops and Simulation Establish and optimise engineering processes for designing, developing, and scaling customer-facing platform components, with a specific emphasis on Machine Learning systems Collaborate with the Director of Delivery (and other cross-functional peers) to ensure customer specific deployments of Frontier are successful Mentor and up-skill the existing engineering team in your areas of technical expertise Solve technical problems few others in the organisation can Who We're Looking For Must Have Requirements: Proven experience building products with a data science, scientific computing, simulation and/or Machine Learning core. Previous experience in technical leadership, with a passion for leading effective engineering teams. Significant expertise in designing, developing, and scaling software components in a distributed system, preferably with a focus on Machine Learning. Proficiency in Python programming. Extensive knowledge of cloud operations, particularly in AWS. Experience working with IaC, preferably Terraform, and automation. Nice to Have's: Experience in delivering SaaS products Understanding of software support, maintenance, and upgrade processes Strong analytical and problem-solving abilities Excellent communication and team collaboration skills What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award-winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the role As a Senior Research Scientist at Faculty you will contribute to Faculty's success by performing novel scientific research in the area of AI safety that progresses scientific understanding through external publications and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Research Leadership: Own and drive forward themes and areas of interest demonstrated by high-impact AI research. Contribute to the wider vision for Faculty's research effort in AI safety through team contributions to the research agenda. Support Faculty's positioning as a leader in AI safety through thought leadership and stakeholder engagement. Research Agenda Development: Shape our research agenda by identifying impactful research opportunities and balancing scientific and practical priorities. Interface with the wider business to ensure alignment between the R&D team's research efforts and the company's long-term goals with a specific focus in the AI safety and commercial projects in the space. Team Management and Mentorship: Guide and mentor junior researchers in the team, fostering a collaborative and innovative culture across a wide range of AI Safety-relevant research topics. Technical Contributions: Lead technical research within the AI Safety space; some examples of AI safety research we've worked on include developing novel attacks against models, fine-tuning models for additional safety (e.g. knowledge unlearning), increasing self-consistency of language models and uncertainty estimation. Support the delivery of evaluations and red-teaming projects in high-risk domains, such as CBRN and cybersecurity, with a focus on government and commercial partners. Who we are looking for A track record working with high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety, with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability). Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and professional development of others. Excellent verbal and written communication skills. The following would be a bonus, but are by no means required: Commercial experience applying AI safety principles in practical or high-stakes contexts. Background in red-teaming, evaluations, or safety testing for government or industry applications. We welcome applicants who have academic research experience in a STEM or related subject. A PhD is great, but certainly not necessary. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Feb 13, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award-winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the role As a Senior Research Scientist at Faculty you will contribute to Faculty's success by performing novel scientific research in the area of AI safety that progresses scientific understanding through external publications and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Research Leadership: Own and drive forward themes and areas of interest demonstrated by high-impact AI research. Contribute to the wider vision for Faculty's research effort in AI safety through team contributions to the research agenda. Support Faculty's positioning as a leader in AI safety through thought leadership and stakeholder engagement. Research Agenda Development: Shape our research agenda by identifying impactful research opportunities and balancing scientific and practical priorities. Interface with the wider business to ensure alignment between the R&D team's research efforts and the company's long-term goals with a specific focus in the AI safety and commercial projects in the space. Team Management and Mentorship: Guide and mentor junior researchers in the team, fostering a collaborative and innovative culture across a wide range of AI Safety-relevant research topics. Technical Contributions: Lead technical research within the AI Safety space; some examples of AI safety research we've worked on include developing novel attacks against models, fine-tuning models for additional safety (e.g. knowledge unlearning), increasing self-consistency of language models and uncertainty estimation. Support the delivery of evaluations and red-teaming projects in high-risk domains, such as CBRN and cybersecurity, with a focus on government and commercial partners. Who we are looking for A track record working with high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety, with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability). Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and professional development of others. Excellent verbal and written communication skills. The following would be a bonus, but are by no means required: Commercial experience applying AI safety principles in practical or high-stakes contexts. Background in red-teaming, evaluations, or safety testing for government or industry applications. We welcome applicants who have academic research experience in a STEM or related subject. A PhD is great, but certainly not necessary. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the role As a Lead Research Scientist at Faculty, you will be leading scientific research, and other researchers, in the area of AI safety that progresses scientific understanding. You will contribute to both external publications, and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Research Leadership: Lead the AI safety team's research agenda, setting priorities and ensuring alignment with Faculty's long-term goals. Conduct and oversee the development of cutting-edge AI safety research, with a focus on large language models and other safety-critical AI systems. Publish high-impact research in leading conferences and journals (e.g., NeurIPS, ACL, ICML, ICLR, AAAI). Support Faculty's positioning as a leader in AI safety through thought leadership and stakeholder engagement. Research Agenda Development: Shape our research agenda by identifying impactful research opportunities and balancing scientific and practical priorities. Interface with the wider business to ensure alignment between the R&D team's research efforts and the company's long term goals with a specific focus in the AI safety and commercial projects in the space. Team Management and Mentorship: Build and lead a growing team of researchers, fostering a collaborative and innovative culture across a wide-range of AI Safety-relevant research topics. Provide mentorship and technical guidance to researchers across diverse AI safety topics. Technical Contributions: Lead hands-on contributions to technical research. Collaborate on delivery of evaluations and red-teaming projects in high-risk domains, such as CBRN and cybersecurity, with a focus on government and commercial partners. Who we are looking for A proven track record of high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety, with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability). Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and professional development of others. Excellent verbal and written communication skills. The following would be a bonus, but are by no means required: Commercial experience applying AI safety principles in practical or high-stakes contexts. Background in red-teaming, evaluations, or safety testing for government or industry applications. We welcome applicants who have academic research experience in a STEM or related subject. A PhD is great, but certainly not necessary. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Feb 11, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the role As a Lead Research Scientist at Faculty, you will be leading scientific research, and other researchers, in the area of AI safety that progresses scientific understanding. You will contribute to both external publications, and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Research Leadership: Lead the AI safety team's research agenda, setting priorities and ensuring alignment with Faculty's long-term goals. Conduct and oversee the development of cutting-edge AI safety research, with a focus on large language models and other safety-critical AI systems. Publish high-impact research in leading conferences and journals (e.g., NeurIPS, ACL, ICML, ICLR, AAAI). Support Faculty's positioning as a leader in AI safety through thought leadership and stakeholder engagement. Research Agenda Development: Shape our research agenda by identifying impactful research opportunities and balancing scientific and practical priorities. Interface with the wider business to ensure alignment between the R&D team's research efforts and the company's long term goals with a specific focus in the AI safety and commercial projects in the space. Team Management and Mentorship: Build and lead a growing team of researchers, fostering a collaborative and innovative culture across a wide-range of AI Safety-relevant research topics. Provide mentorship and technical guidance to researchers across diverse AI safety topics. Technical Contributions: Lead hands-on contributions to technical research. Collaborate on delivery of evaluations and red-teaming projects in high-risk domains, such as CBRN and cybersecurity, with a focus on government and commercial partners. Who we are looking for A proven track record of high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety, with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability). Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and professional development of others. Excellent verbal and written communication skills. The following would be a bonus, but are by no means required: Commercial experience applying AI safety principles in practical or high-stakes contexts. Background in red-teaming, evaluations, or safety testing for government or industry applications. We welcome applicants who have academic research experience in a STEM or related subject. A PhD is great, but certainly not necessary. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.