Hiring: Applied Scientist II, Foundation Model Company: Amazon Science Location: Sunnyvale, CA Job Posted Time: 2026-09-16 22:28:12 Target Skills & Keywords : AI, C, C++, Computer Vision, Deep Learning, Fine-tuning, Java, LLM, Linux, Machine Learning, Perl, Python, TestNG About the job Experience: •2+ years of building models for business application experience •4+ years building ML models/algorithms in applied settings •2+ years hands-on experience in deep learning with strength in at least one: computer vision, multimodal models, imitation learning / RL for robotics, or human-robot interaction Required Skills: •As an Applied Scientist in the Foundations Model team, you will: •Leverage state-of-the-art models for targeted tasks, environments, and robot embodiments through fine-tuning and optimization. •Execute rapid, rigorous experimentation with reproducible results and solid engineering practices, closing the gap between sim and real environments. •Build and run capability evaluations/benchmarks to clearly profile performance, generalization, and failure modes. •Contribute to the data and training workflow: collection/curation, dataset quality/provenance, and repeatable training recipes. •Write clean, maintainable, well commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs •Stay current with latest developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions and brainstorming sessions. •Work closely with senior scientists, engineers, and leaders across multiple teams, participate in knowledge sharing, support integration efforts with robotics hardware teams, and help document best practices and methodologies. Qualifications: •2+ years of building models for business application experience •Knowledge of programming languages such as C/C++, Python, Java or Perl •PhD, or Master’s + 4+ years building ML models/algorithms in applied settings •2+ years hands-on experience in deep learning with strength in at least one: computer vision, multimodal models, imitation learning / RL for robotics, or human-robot interaction •Demonstrated capacity to design rigorous experiments, analyze results, and iterate quickly with reproducible baselines •Demonstrated technical contributions (e.g., publications, patents, open-source, or impactful internal systems) •Proven hands-on experience in professional software development Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!