Member of Technical Staff

Asari AISan Francisco, CA
10h

About The Position

Build AI to co-invent the future Our mission is to empower people to invent complex systems and solve the world’s hardest problems, working together with scalable and reliable AI agents. Our team has published award-winning AI research and is backed by top-tier investors including Eric Schmidt, Caltech, Jeff Dean, and JP Millon. We move fast, think from first principles, and build with purpose. We believe that great results come when people take ownership, grow together, and share both the challenges and the wins. What you'll do Design, train, and evaluate hybrid AI systems that perform well at scale and make optimal trade-offs. Build scalable data processing and machine learning systems Solve min-max problems: how can we do more with less? Accelerate our work by removing operational and tooling bottlenecks. What we look for You are energized by solving challenging real-world problems. You have a track record in a technical domain, e.g., machine learning, computer science, physics, math. You have strong programming (Python, C++) and math abilities. You have strong conceptual and structured thinking. You have clear verbal and written communication skills You are willing and able to learn quickly. You have team spirit. You can independently structure, plan, prioritize, and get things done. You have a drive for excellence, take ownership, and are biased to action.

Requirements

  • You are energized by solving challenging real-world problems.
  • You have a track record in a technical domain, e.g., machine learning, computer science, physics, math.
  • You have strong programming (Python, C++) and math abilities.
  • You have strong conceptual and structured thinking.
  • You have clear verbal and written communication skills
  • You are willing and able to learn quickly.
  • You have team spirit.
  • You can independently structure, plan, prioritize, and get things done.
  • You have a drive for excellence, take ownership, and are biased to action.

Nice To Haves

  • Open-source projects, published research papers, or other examples of experience in using machine learning.
  • Experience with applying deep learning, reinforcement learning, unsupervised learning, and other techniques to large-scale problems.
  • Experience with distributed computing and handling large datasets.

Responsibilities

  • Design, train, and evaluate hybrid AI systems that perform well at scale and make optimal trade-offs.
  • Build scalable data processing and machine learning systems
  • Solve min-max problems: how can we do more with less?
  • Accelerate our work by removing operational and tooling bottlenecks.

Benefits

  • Competitive salary
  • Stock options
  • Premium insurance: health (100% covered), dental (90% covered), and vision (90% covered). Dependents are covered at 50%.
  • Wellness benefits (e.g., gym, fitness classes, physical therapy).
  • Retirement 401k: 100% match of your 401k deferrals up to 4% of your compensation.
  • Commuter benefits
  • Daily meals in the office
  • Training and development budget, e.g., for domestic conferences.
  • Flexible working hours
  • Unlimited PTO (with manager approval)
  • Team-building events and celebrations
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