AI Researcher

Singapore London San Francisco New York · Not specified

Design and conduct original research in computer vision, generative 3D, and robotics learning, formulating hypotheses and running experiments to prove or disprove outcomes.
Author research papers and technical reports that communicate novel findings to the broader scientific and industry community.
Build and maintain benchmarks and evaluation methodologies to rigorously measure model performance, quality, and progress over time.
Investigate hard, open-ended problems (e.g., 3D segmentation, articulation, geometry reconstruction) and translate promising results into approaches the engineering team can productionize.
Collaborate with ML engineers and simulation engineers to hand off validated research and shape the technical roadmap.
Stay at the frontier of AI/ML literature and continuously bring emerging techniques into our research agenda.

Advanced degree (MS/PhD) in Computer Science, Machine Learning, or a related field, or equivalent research experience.
Track record of research contributions, ideally including published papers at top venues (CVPR, ICCV, NeurIPS, ICLR, SIGGRAPH, CoRL, etc.).
Deep expertise in one or more of: computer vision, generative models, 3D deep learning, or robotics/embodied AI.
Strong experience designing benchmarks, evaluation protocols, and reproducible experiments.
Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
Ability to work from first principles on ambiguous, unsolved problems and communicate findings clearly to both technical and non-technical stakeholders.
Strong scientific writing and presentation skills.

Source: a16z portfolio. Confirm availability with the employer.

Apply through the original posting.