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ML Researcher

Job in San Francisco, San Francisco County, California, 94199, USA
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
Salary/Wage Range or Industry Benchmark: 60000 USD Yearly USD 60000.00 YEAR
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.
What We’re Looking For

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.
Benefits
  • 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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