Founding Member of Technical Staff

Build AI to co-invent the future

We're a passionate team building AI agents that help people design and make new products, services, and discoveries, and help solve the world's hardest problems. Our team has published award-winning AI research and is backed by top-tier investors: Eric Schmidt, Caltech, Jeff Dean, JP Millon, and others.

To achieve our mission, we strive for excellence, focus, and impact. We value thinking from first principles, learning fast, and getting things done. Above all, we cultivate a place of personal and collective growth, proactive ownership, sharing the ups and downs, and achieving great things together.
What you'll do

• Be a key team member that will help set the course, take ownership, and execute rapidly.
• Design, train, and evaluate hybrid AI systems that perform well at scale and make optimal trade-offs.
• Build data processing pipelines
• Implement machine learning models
• Run machine learning workloads at scale using distributed computing
• Define and apply simple design principles that scale (Occam's Razor)
• 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 enjoy and are energized by solving challenging and meaningful real-world problems.
• You have a track record in a technical domain, e.g., machine learning, computer science, physics, math.
• You have developed and implemented machine learning algorithms, models, and tools.
• You have strong programming (Python, C++) and math abilities.
• You have clear verbal and written communication skills
• You have strong conceptual and structured thinking.
• 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, a sense of urgency, and bias to action.

It would be nice to have

• 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.

Our compensation, benefits, and perks

• 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