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