…Partner with People Scientists, engineers, and data specialists to ensure research and program efforts are well-executed. Learn and grow. Build hands-on experience…

…data and training strategy, post-training, and inference performance — and make sure they land as measurable production gains. - Stay deeply technical: review research, challenge…

…work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and…

…and debug code, work directly with data and training infrastructure, and move quickly from an idea to evidence. - Have strong research taste and can…

…Join the Translational Team, where we generate the data that advances Neuralink’s brain–computer interface technologies from research and development through clinical evaluation…

…evaluate what it is capturing, identify where it has gaps, and direct analytical work accordingly. You do not need to be a data engineer…

…Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 3 years of work experience using…

…We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to…

…Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering or a related quantitative field. 3 years of work experience using…

…multi-turn trajectories, and land data into model training and evaluation pipelines to drive measurable hillclimbing on coding, computer control, tool-use benchmarks, and…

…codebases. Preferred Doctorate (PhD) in Computer Science or related area, or equivalent training and experience in research. Experience of cluster-based distributed data processing…

…Nice to Have Have solid AI knowledge and can reason about how models are trained and evaluated Have knowledge breadth across the specialist areas…

…Cultivate Engineering Excellence: Establish and promote software engineering best practices, balancing code health with project velocity and maintainability. Foster a Culture of Collaboration: Advocate…

…As a Software Engineer, you will be passionate about delivering Generative AI technologies to Cloud customers. You will be working closely with researchers, engineers…

…Drive post-training research and engineering using reinforcement learning (RL) and supervised fine-tuning (SFT) to advance Gemini coding capabilities across web, 3D, game…

…Join us to lead and collaborate with a passionate team of Machine Learning Engineers, Data Scientists, and Software Engineers, and partner with renowned research…

…ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math. - Passion for customer experience and usability, including…

…thematic coding, and natural language processing techniques - Design and monitor processes improve survey response rates, sampling methodology, and data quality - Productionalize research code: take…

…RAG architectures, prompt engineering, vector databases, embeddings, tokenization, and evaluation of generative outputs. Familiarity with AI-assisted development tools (Claude Code, GitHub Copilot, Cursor…

…in data and uses these insights to drive improvements to coding hygiene and system architecture Required qualifications, capabilities, and skills Formal training or certification…

…Occasionally conducts technology research and evaluation for potential architectural changes that may have an impact on results for the team. Issue/Defect Collaboration - Software…

…Conducts regular technology research and evaluation for architectural enhancements and translates into decisions and plans that have a long-term impact on the organization…

…Defines processes and approaches to conduct regular technology research and evaluation for architectural enhancements. Issue/Defect Collaboration - Software Products Support: Collaborates with stakeholders within…

…Level 2) Version-controlled ML pipelines (data, code, and config) Automated and reproducible model training and evaluation Continuous integration and delivery for ML workflows…

…Strong ability to partner with sales engineering to drive technical evaluations. Experience working in a fast-paced, dynamic environment with the ability to adapt…