InstaDeep Ltd
Innovation is at the heart of what we do. We work as a cohesive team that collectively develops real-life decision-making and technology products across various industries. We are always on the lookout for talented minds to join our dynamic team and contribute their unique insights. Be part of a stimulating and collaborative environment where your ideas can make an impact and ignite transformative change worldwide. InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. Join us to be a part of the AI revolution! The Team: Our team plays a pivotal role in enhancing the capabilities and efficiency of our advanced AI systems. We design solutions that enable our machine learning models to scale seamlessly and perform optimally in real-world applications and large scale research. Collaborating across InstaDeep, we directly impact projects in diverse fields including Life Sciences, Logistics, Chip Design, and Quantum ML. The Role: We seek a highly skilled Machine Learning Engineer with a passion for tackling the challenges of large-scale ML development. You'll play a vital role in making our ambitious AI solutions a practical reality. If you thrive on system-level analysis, find joy in squeezing every ounce of performance from hardware, and love diving deep into algorithm optimisation, this is the position for you. Responsibilities Scaling Expertise:Design and implement strategies to efficiently scale machine learning models across diverse hardware platforms (GPU/TPU). Performance Optimisation:Analyse and profile ML systems under heavy load, pinpointing bottlenecks, and implementing targeted optimisations. Distributed Systems Architecture:Create robust distributed training and inference solutions for maximum computational efficiency. Algorithmic Optimisation:Research and understand the latest deep learning literature to implement and optimise state-of-the-art algorithms and architectures, ensuring compute efficiency and performance. Low-Level Mastery:Write high-quality Python, C/C++, XLA, Pallas, Triton, and/or CUDA code to achieve performance breakthroughs. Required Skills Understanding of Linux systems, performance analysis tools, and hardware optimisation techniques Experience with distributed training frameworks (Ray, Dask, PyTorch Lightning, etc.) Expertise with Python and/or C/C++ Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.) Passion for profiling, identifying bottlenecks, and delivering efficient solutions. Highly Desirable Track record of successfully scaling ML models. Experience writing custom CUDA kernels or XLA operations. Understanding of GPU/TPU architectures and their implications for efficient ML systems. Fundamentals of modern Deep Learning Actively following ML trends and a desire to push boundaries. Example Projects: Profile algorithm traces, identifying opportunities for custom XLA operations and CUDA kernel development. Implement and apply SOTA architectures (MAMBA, Griffin, Hyena) to research and applied projects. Adapt algorithms for large-scale distributed architectures across HPC clusters. Employ memory-efficient techniques within models for increased parameter counts and longer context lengths. What We Offer: Real-World Impact:Directly contribute to the performance and reach of our AI solutions. Cutting-Edge Challenges:Tackle complex problems at the forefront of machine learning and large-scale system design. Growth-Oriented Environment:Expand your expertise in a team of talented engineers dedicated to advancing ML scalability. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team?We operate on a hybrid work model with guidance to work at the office 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. Right to work: Please note that you will require the legal right to work in the location you are applying for. Ready to take the next step? Check out our FAQs and discover what makes us tick! Can I apply to multiple jobs? I was interviewed/applied last year and wasn't selected. May I reapply? I don't live where the job opportunity is. Can I still apply?
Innovation is at the heart of what we do. We work as a cohesive team that collectively develops real-life decision-making and technology products across various industries. We are always on the lookout for talented minds to join our dynamic team and contribute their unique insights. Be part of a stimulating and collaborative environment where your ideas can make an impact and ignite transformative change worldwide. InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. Join us to be a part of the AI revolution! The Team: Our team plays a pivotal role in enhancing the capabilities and efficiency of our advanced AI systems. We design solutions that enable our machine learning models to scale seamlessly and perform optimally in real-world applications and large scale research. Collaborating across InstaDeep, we directly impact projects in diverse fields including Life Sciences, Logistics, Chip Design, and Quantum ML. The Role: We seek a highly skilled Machine Learning Engineer with a passion for tackling the challenges of large-scale ML development. You'll play a vital role in making our ambitious AI solutions a practical reality. If you thrive on system-level analysis, find joy in squeezing every ounce of performance from hardware, and love diving deep into algorithm optimisation, this is the position for you. Responsibilities Scaling Expertise:Design and implement strategies to efficiently scale machine learning models across diverse hardware platforms (GPU/TPU). Performance Optimisation:Analyse and profile ML systems under heavy load, pinpointing bottlenecks, and implementing targeted optimisations. Distributed Systems Architecture:Create robust distributed training and inference solutions for maximum computational efficiency. Algorithmic Optimisation:Research and understand the latest deep learning literature to implement and optimise state-of-the-art algorithms and architectures, ensuring compute efficiency and performance. Low-Level Mastery:Write high-quality Python, C/C++, XLA, Pallas, Triton, and/or CUDA code to achieve performance breakthroughs. Required Skills Understanding of Linux systems, performance analysis tools, and hardware optimisation techniques Experience with distributed training frameworks (Ray, Dask, PyTorch Lightning, etc.) Expertise with Python and/or C/C++ Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.) Passion for profiling, identifying bottlenecks, and delivering efficient solutions. Highly Desirable Track record of successfully scaling ML models. Experience writing custom CUDA kernels or XLA operations. Understanding of GPU/TPU architectures and their implications for efficient ML systems. Fundamentals of modern Deep Learning Actively following ML trends and a desire to push boundaries. Example Projects: Profile algorithm traces, identifying opportunities for custom XLA operations and CUDA kernel development. Implement and apply SOTA architectures (MAMBA, Griffin, Hyena) to research and applied projects. Adapt algorithms for large-scale distributed architectures across HPC clusters. Employ memory-efficient techniques within models for increased parameter counts and longer context lengths. What We Offer: Real-World Impact:Directly contribute to the performance and reach of our AI solutions. Cutting-Edge Challenges:Tackle complex problems at the forefront of machine learning and large-scale system design. Growth-Oriented Environment:Expand your expertise in a team of talented engineers dedicated to advancing ML scalability. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team?We operate on a hybrid work model with guidance to work at the office 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. Right to work: Please note that you will require the legal right to work in the location you are applying for. Ready to take the next step? Check out our FAQs and discover what makes us tick! Can I apply to multiple jobs? I was interviewed/applied last year and wasn't selected. May I reapply? I don't live where the job opportunity is. Can I still apply?
InstaDeep Ltd
Innovation is at the heart of what we do. We work as a cohesive team that collectively develops real-life decision-making and technology products across various industries. We are always on the lookout for talented minds to join our dynamic team and contribute their unique insights. Be part of a stimulating and collaborative environment where your ideas can make an impact and ignite transformative change worldwide. InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. We are seeking Research Scientists to join our London-based Research Team, working at the forefront of generative AI and its applications in life sciences. Our team is dedicated to building foundational expertise and developing the next generation of deep learning technologies. Roles are available for both recent graduates and senior profiles. Generative foundation models like ESM-3, AlphaFold, RFDiffusion, and ProteinMPNN are revolutionising computational biology and in silico drug design; and InstaDeep is leading the way in developing the next generation of technologies and applications. This requires pushing the boundaries of both fundamental aspects of generative AI - including new algorithms, enhanced sampling and reasoning techniques - and the development and validation of these ideas for biological domains. As a Research Scientist at InstaDeep, you will have the opportunity to: Advance Foundational Research Tackle challenges in generative modelling, such as handling heterogeneous, multimodal, and noisy data, and developing effective sampling algorithms for both conditional and unconditional generation. Develop Biological Foundation Models Contribute to the creation of new models that push the boundaries of what's possible in computational biology. Collaborate Across Disciplines Work closely with Machine Learning Engineers, Research Engineers, Computational Biologists, and other experts. Leverage Cutting-Edge Resources Utilise our near-exascale supercomputing cluster, Kyber, to conduct large-scale training and evaluation of generative models. Publish and Present Research Share your findings at top-tier conferences and in leading journals. Responsibilities Innovate in Deep Learning Research Develop and implement novel research on multimodal generative foundation models and their biological applications. Contribute to Team Success Collaborate with team members to achieve research goals and contribute to a supportive, knowledge-sharing environment. Engage in Collaborative Projects Initiate and participate in collaborations with external partners and internal departments, including our applied BioAI team and strategic partners like BioNTech. Communicate Findings Report and present experimental results and research insights both internally and externally, through presentations, written publications and representing InstaDeep at conferences and events. Requirements Research Experience: Experience in professional research settings, either in industry or through PhD/post-doctoral positions. Proven Research Excellence: A strong track record of high-quality research, evidenced by publications in reputable scientific journals or conferences. Expertise in software development and programming in Python. Experience with deep learning frameworks such as PyTorch, JAX, and/or TensorFlow. Excellent ability to communicate complex ideas clearly, both verbally and in writing, and to work effectively within a multidisciplinary team. Strong analytical and critical thinking skills with the ability to adapt to a dynamic research environment and tackle complex challenges creatively. Demonstrated enthusiasm for continuous learning, staying updated with advancements in AI, and contributing novel ideas to the field. Desired Skills For senior roles who would be interested in leadership positions, experience mentoring junior team members, leading research projects, and guiding collaborative efforts is a plus. Knowledge of the following machine learning domains is a plus: Generative models leveraging diffusion or Bayesian Flow Networks. Large-scale distributed machine learning training. Knowledge, experience or interest in the following biological domains is a plus: Drug discovery and protein engineering. Understanding of protein language models and structural proteomics. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. Right to work Please note that you will require the legal right to work in the location you are applying for.
Innovation is at the heart of what we do. We work as a cohesive team that collectively develops real-life decision-making and technology products across various industries. We are always on the lookout for talented minds to join our dynamic team and contribute their unique insights. Be part of a stimulating and collaborative environment where your ideas can make an impact and ignite transformative change worldwide. InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. We are seeking Research Scientists to join our London-based Research Team, working at the forefront of generative AI and its applications in life sciences. Our team is dedicated to building foundational expertise and developing the next generation of deep learning technologies. Roles are available for both recent graduates and senior profiles. Generative foundation models like ESM-3, AlphaFold, RFDiffusion, and ProteinMPNN are revolutionising computational biology and in silico drug design; and InstaDeep is leading the way in developing the next generation of technologies and applications. This requires pushing the boundaries of both fundamental aspects of generative AI - including new algorithms, enhanced sampling and reasoning techniques - and the development and validation of these ideas for biological domains. As a Research Scientist at InstaDeep, you will have the opportunity to: Advance Foundational Research Tackle challenges in generative modelling, such as handling heterogeneous, multimodal, and noisy data, and developing effective sampling algorithms for both conditional and unconditional generation. Develop Biological Foundation Models Contribute to the creation of new models that push the boundaries of what's possible in computational biology. Collaborate Across Disciplines Work closely with Machine Learning Engineers, Research Engineers, Computational Biologists, and other experts. Leverage Cutting-Edge Resources Utilise our near-exascale supercomputing cluster, Kyber, to conduct large-scale training and evaluation of generative models. Publish and Present Research Share your findings at top-tier conferences and in leading journals. Responsibilities Innovate in Deep Learning Research Develop and implement novel research on multimodal generative foundation models and their biological applications. Contribute to Team Success Collaborate with team members to achieve research goals and contribute to a supportive, knowledge-sharing environment. Engage in Collaborative Projects Initiate and participate in collaborations with external partners and internal departments, including our applied BioAI team and strategic partners like BioNTech. Communicate Findings Report and present experimental results and research insights both internally and externally, through presentations, written publications and representing InstaDeep at conferences and events. Requirements Research Experience: Experience in professional research settings, either in industry or through PhD/post-doctoral positions. Proven Research Excellence: A strong track record of high-quality research, evidenced by publications in reputable scientific journals or conferences. Expertise in software development and programming in Python. Experience with deep learning frameworks such as PyTorch, JAX, and/or TensorFlow. Excellent ability to communicate complex ideas clearly, both verbally and in writing, and to work effectively within a multidisciplinary team. Strong analytical and critical thinking skills with the ability to adapt to a dynamic research environment and tackle complex challenges creatively. Demonstrated enthusiasm for continuous learning, staying updated with advancements in AI, and contributing novel ideas to the field. Desired Skills For senior roles who would be interested in leadership positions, experience mentoring junior team members, leading research projects, and guiding collaborative efforts is a plus. Knowledge of the following machine learning domains is a plus: Generative models leveraging diffusion or Bayesian Flow Networks. Large-scale distributed machine learning training. Knowledge, experience or interest in the following biological domains is a plus: Drug discovery and protein engineering. Understanding of protein language models and structural proteomics. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. Right to work Please note that you will require the legal right to work in the location you are applying for.