aipythonc++machine learningroboticsdistributed trainingimitation learninghumanoid robotsvision language action
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная исследовательская стажировка в ведущей робототехнической компании даёт практический опыт работы с VLA на реальном гуманоидном роботе и в быстро развивающейся области.
Atlas VLA Research Intern (Robotics): Developing and deploying vision-language-action models that enable the Atlas humanoid robot to perceive, reason, and perform dexterous tasks with an accent on data scaling, imitation learning, benchmarking, and hardware deployment. Focus on leading experiments, building data and training pipelines, integrating learned policies with low-level control, and moving algorithms from simulation to physical robots.
Location: Waltham Office, United States
Hourly pay: $30–$70 per hour
Company
hirify.global develops advanced mobile and humanoid robots, including Atlas.
What you will do
Lead a research project establishing hypotheses and experiments for VLA/WAM performance.
Extend benchmarking, training, and evaluation across teleoperation, UMI-style, VQA, and other data sources.
Prototype and deploy data collection, mixing, grading, training recipes, and algorithms on Atlas, moving from simulation to hardware.
Collaborate across teams to integrate learned policies with low-level robot control.
Extend data pipelines and write production-grade Python/C++ code for existing systems.
Requirements
Actively pursuing a PhD, preferably, or a research-heavy Master’s in Computer Science, Robotics, Machine Learning, or a related field.
Expertise in training and deploying imitation learning models, including VLAs/WAMs, for robotics.
Strong experimental hygiene and clear knowledge of the state of the art and areas for community improvement.
Nice to have
Understanding of machine learning best practices, architectures, and scaling laws across domains.
Experience troubleshooting and deploying algorithms on physical robot platforms, especially mobile and humanoid robots.
Experience with large-scale datasets such as EgoScale and Open X-Embodiment, or specialized data collection approaches such as Universal Manipulation Interface.
Experience with Kubernetes, SLURM, distributed GPU training, and maintaining high-quality codebases.
Culture & Benefits
Full-time internship on the Atlas VLA Research Team.
Work involves direct deployment to advanced physical robot hardware rather than pure theory.
Hourly base pay depends on internal equity, job-related knowledge, skills, education, and experience.
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