Leads original research in action-conditioned world models, physical AI, and generative modeling for embodied systems. Requires PhD in ML/CS/Robotics with top publications and expertise in generative models and large-scale training.
200k – 325k
On-siteAI Research
About the role
Responsibilities
Define and lead research directions in action-conditioned world models, physical AI, and generative modeling for embodied systems
Design novel architectures, training objectives, and evaluation frameworks for VLMs, VLAs, and world models
Direct research efforts with the goal of publishing in top journals
Partner with industrial collaborators to ground research in real-world physical AI use cases
Mentor research engineers and collaborate cross-functionally to move research into production
Stay at the frontier of the field — synthesizing relevant literature and identifying opportunities for impactful contributions
Contribute to Hedra's research culture and external scientific reputation
Qualifications
PhD in Machine Learning, Computer Science, Robotics, or a related field, with publications at top ML or robotics venues
Deep expertise in generative modeling, world models, or vision-language(-action) models
Strong publication record at NeurIPS, ICML, ICLR, CVPR, CoRL, or equivalent venues
Experience with large-scale model training and modern deep learning infrastructure
Ability to independently drive research projects from ideation through publication
Background in embodied AI, robotic manipulation, or sim-to-real transfer is highly desirable
Experience with RLHF, DPO, or preference optimization for model alignment is a plus
Strong collaboration and communication skills — comfortable bridging research and applied teams
Develops efficient inference engines and RL/post-training pipelines for production-scale LLMs, optimizing algorithms, systems, and performance across the stack. Requires 3+ years in ML systems/RL/inference and advanced degree.
200k – 280k
On-site3+ YOEAI Research
Founding ML Researcher
Unsiloed AISan Francisco, CA
Founding ML Researcher shapes ML research direction for document AI, owns end-to-end lifecycle from research to production deployment. Requires expertise in VLMs, computer vision, unstructured data parsing; PhD preferred.
200k – 300k
On-siteAI Research
ML Scientist
Layer HealthBoston, MA +1
Pioneers innovative ML techniques and builds foundation models for clinical information extraction and synthesis from medical records. Requires PhD in CS/math with NLP/ML focus, high-impact publications, and experience with large-scale model training using PyTorch/JAX.
200k – 250k
On-siteAI Research
AI Research Engineer
AmperoshealthNew York, NY +1
Develops advanced AI agents for healthcare revenue recovery, focusing on human-like conversational AI, model improvements, LLM orchestration, and evaluation frameworks to handle insurance interactions and billing tasks.
200k – 300k
On-siteAI Research
Research Scientist, Frontier Risk Evaluations
Scale AISan Francisco, CA +2
Designs evaluation measures, harnesses, and datasets to assess risks from frontier AI systems, including dangerous capabilities testing. Collaborates with agencies, publishes methodologies for policymakers; requires 3+ years ML experience and publications in generative AI.