King's Cross, United Kingdom Posted on 03/18/2026 Our client is looking for a Software Engineer hybrid role at Kings Cross, London. Duration - 6 months (possibility for extension) Our client is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. Responsibilities Carry out cutting edge research to advance the science and technology of machine learning systems. Design methods, tools, and infrastructure to push forward the state of the art in large language models. Collaborate with researchers and cross functional partners including communicating research plans, progress, and results. Suggest, collect and synthesize requirements and create an effective feature roadmap. Code deliverables in tandem with the engineering team. Publish research results and contribute to research that impacts Meta product development. Requirements 2+ years of hands on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post training. Programming experience in Python and hands on experience with frameworks such as PyTorch. Experience writing software and executing complex experiments involving large AI models and datasets. Proven experience to translate insights into business recommendations Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Preferred Qualifications Direct experience in generative AI and LLM research PhD degree or research focused Master's degree in ML areas Healthcare contribution and inclusion in company pension scheme Work laptop and phone 25 days annual leave (pro rata) plus paid bank holidays Expanding workforce with potential for career progression for top performers
17/06/2026
Full time
King's Cross, United Kingdom Posted on 03/18/2026 Our client is looking for a Software Engineer hybrid role at Kings Cross, London. Duration - 6 months (possibility for extension) Our client is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. Responsibilities Carry out cutting edge research to advance the science and technology of machine learning systems. Design methods, tools, and infrastructure to push forward the state of the art in large language models. Collaborate with researchers and cross functional partners including communicating research plans, progress, and results. Suggest, collect and synthesize requirements and create an effective feature roadmap. Code deliverables in tandem with the engineering team. Publish research results and contribute to research that impacts Meta product development. Requirements 2+ years of hands on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post training. Programming experience in Python and hands on experience with frameworks such as PyTorch. Experience writing software and executing complex experiments involving large AI models and datasets. Proven experience to translate insights into business recommendations Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Preferred Qualifications Direct experience in generative AI and LLM research PhD degree or research focused Master's degree in ML areas Healthcare contribution and inclusion in company pension scheme Work laptop and phone 25 days annual leave (pro rata) plus paid bank holidays Expanding workforce with potential for career progression for top performers
King's Cross, United Kingdom Posted on 03/18/2026 Our client is looking for a Software Engineer hybrid role at Kings Cross, London. Duration - 6 months (possibility for extension) Our client is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. Responsibilities Carry out cutting edge research to advance the science and technology of machine learning systems. Design methods, tools, and infrastructure to push forward the state of the art in large language models. Collaborate with researchers and cross functional partners including communicating research plans, progress, and results. Suggest, collect and synthesize requirements and create an effective feature roadmap. Code deliverables in tandem with the engineering team. Publish research results and contribute to research that impacts Meta product development. Requirements 2+ years of hands on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post training. Programming experience in Python and hands on experience with frameworks such as PyTorch. Experience writing software and executing complex experiments involving large AI models and datasets. Proven experience to translate insights into business recommendations Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Preferred Qualifications Direct experience in generative AI and LLM research PhD degree or research focused Master's degree in ML areas Healthcare contribution and inclusion in company pension scheme Work laptop and phone 25 days annual leave (pro rata) plus paid bank holidays Expanding workforce with potential for career progression for top performers
22/05/2026
Full time
King's Cross, United Kingdom Posted on 03/18/2026 Our client is looking for a Software Engineer hybrid role at Kings Cross, London. Duration - 6 months (possibility for extension) Our client is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. Responsibilities Carry out cutting edge research to advance the science and technology of machine learning systems. Design methods, tools, and infrastructure to push forward the state of the art in large language models. Collaborate with researchers and cross functional partners including communicating research plans, progress, and results. Suggest, collect and synthesize requirements and create an effective feature roadmap. Code deliverables in tandem with the engineering team. Publish research results and contribute to research that impacts Meta product development. Requirements 2+ years of hands on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post training. Programming experience in Python and hands on experience with frameworks such as PyTorch. Experience writing software and executing complex experiments involving large AI models and datasets. Proven experience to translate insights into business recommendations Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Preferred Qualifications Direct experience in generative AI and LLM research PhD degree or research focused Master's degree in ML areas Healthcare contribution and inclusion in company pension scheme Work laptop and phone 25 days annual leave (pro rata) plus paid bank holidays Expanding workforce with potential for career progression for top performers