{"id":9715,"url":"https://alion.io/job/skild-research-engineer-post-training-deployment","title":"Research Engineer, Post-training & Deployment","company":{"id":3377,"name":"Skild AI","domain":"skild.ai","url":"https://alion.io/company/skild","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":73,"open_postings":47,"ghost_share":0.362,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":161,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Mateo, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Post-training","optional":false},{"name":"Computer Vision","optional":true},{"name":"Imitation Learning","optional":true},{"name":"JAX","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"ROS","optional":true},{"name":"ROS2","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2024-08-27T20:58:53Z","employer_posted_date":"2026-04-15","last_verified_at":"2026-10-17T00:14:20Z","board_verified":true,"closed_at":null,"days_open":780,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":779},"description":"Company Overview\nAt Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.\nPosition Overview\nWe are looking for a Research Engineer who is passionate about delivering results in the real world. As a member of the post-training team, you’ll be responsible for improving Skild foundation models and deploying them onto robots in the field. You’ll work with customers and deployment data to deliver reliable robot behavior in real-world environments, ensuring our systems are safe, efficient, and robust under operational constraints.\nWe work across the final mile of robotics: turning strong lab performance into dependable customer deployments and continuous improvement. By bridging this gap, you will define the standard for how autonomous systems scale from experimental prototypes into indispensable global infrastructure.\nResponsibilities\nResearch, post-train and evaluate large deep learning models for robotic manipulation tasks.\nDevelop frameworks to continuously improve robot behaviors.\nCollaborate closely with our product teams to source and iterate on customer requirements to ensure technical alignment for on-site deployments.\nOwn scenario setup and data collection methodologies, managing the operational lifecycle for unique customer use-cases.\nWork with our robotics teams to maintain and ensure robots are deployment-ready and execute full-stack software and hardware deployments at customer sites.\nBuild robust testing and evaluation pipelines for tracking model improvements and corner cases.\nPreferred Qualifications\nBS, MS or PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.\nProficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.\nDeep technical knowledge in computer vision and deep learning for robotics, including reinforcement and imitation learning.\nPrior experience working with large-scale model training.\nPrior experience developing and deploying ML models or software on real robots.\nPrior experience with ROS/ROS2 or other robotics middleware platforms.\nBonus if you have experience working with customers and deploying real-world robotics applications.\nBonus if you have experience leveraging LLMs to accelerate development and solve complex engineering problems.\nBase Salary Range\n$100,000—$300,000 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