Research Engineer: Action-Conditioned World Models
Hedra, Inc
San Francisco (CA)
On-site
USD 120,000 - 160,000
Full time
14 days+
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Benefits offered by this job
Competitive compensation and equity
401k (no match)
Healthcare (Silver PPO Medical, Vision, Dental)
Lunch and snacks at the office
Job summary
A pioneering generative modeling company in San Francisco is seeking a Research Engineer for their Physical AI team. This role focuses on designing pre-training and post-training pipelines for AI models, collaborating with industrial partners, and evaluating model performance. Candidates should have experience in large generative models, proficiency in PyTorch, and a relevant degree. The position offers competitive compensation, healthcare, and snacks at the office.
Qualifications
Experience with pre-training or post-training on large generative models.
Hands-on proficiency with PyTorch and distributed training frameworks.
Strong fundamentals in machine learning, optimization, and large-scale data processing.
Responsibilities
Design, implement, and run pre-training and post-training pipelines.
Collaborate with partners to adapt generative models for real-world applications.
Evaluate model performance using benchmark datasets and real-world metrics.
Skills
Pre-training on generative models
Distributed training frameworks (FSDP, DeepSpeed)
Machine learning fundamentals
Optimization techniques
Multimodal data processing
Video understanding
Education
BS/MS/PhD in Computer Science, Machine Learning, Robotics
Tools
PyTorch
Job description
A pioneering generative modeling company in San Francisco is seeking a Research Engineer for their Physical AI team. This role focuses on designing pre-training and post-training pipelines for AI models, collaborating with industrial partners, and evaluating model performance. Candidates should have experience in large generative models, proficiency in PyTorch, and a relevant degree. The position offers competitive compensation, healthcare, and snacks at the office.