ML Researcher
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-02-16
Listing for:
Maxwell Bond
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer, Artificial Intelligence
Job Description & How to Apply Below
About Us
We are an early-stage technology company tackling large-scale, high-impact scientific and engineering challenges. Our work combines advanced machine learning, large-scale modeling, and complex real-world systems.
We’re assembling a small, highly technical team driven by curiosity, rigorous thinking, and a desire to work on problems with meaningful long-term impact. Our founders and early team members have deep experience building and deploying cutting-edge ML systems at top research labs and industry organizations across areas such as autonomous systems, robotics, biological modeling, and generative modeling.
Responsibilities- Contribute across the full machine learning workflow, including data handling, modeling, evaluation, and infrastructure.
- Design and implement novel model architectures, training algorithms, and optimization methods.
- Develop and maintain large-scale data pipelines and distributed training systems for multimodal datasets.
- Run rapid experimental cycles, including ablations, diagnostics, and performance investigations.
- Continuously stay current with research advancements and apply relevant findings to real-world problems.
We value adaptability, rigorous problem-solving, and the ability to work efficiently in domains that may be new or unfamiliar.
Qualifications- Strong grasp of machine learning fundamentals, plus depth in at least one domain (e.g., computer vision, sequence models, multimodal learning, or physics-based ML).
- Experience training models at scale and analyzing experimental results through systematic evaluation.
- Background in building or optimizing large data processing systems.
- Familiarity with distributed training frameworks and high-performance computing environments.
- Bonus: Experience with physical simulations, scientific modeling, or numerical methods.
- Opportunity to work on challenging, unsolved technical problems
- Competitive compensation, including salary and equity
- Comprehensive health benefits
- Daily meals provided
- Flexible PTO policy
- Relocation and visa support available
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