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.
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.
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.
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.
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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Join a passionate team as a Founding Member of Technical Staff in San Francisco, where we are dedicated to building AI agents that empower individuals to co-invent the future. At our innovative company, you'll contribute to designing and creating groundbreaking products, services, and discoveries aimed at solving some of the world's toughest challenges. Our team has achieved recognition for our award-winning AI research and has the backing of distinguished investors like Eric Schmidt and Caltech. As a key team member, you'll have a hands-on role, taking ownership and executing solutions rapidly. You'll design, train, and evaluate robust hybrid AI systems that are both scalable and optimized for performance. Your work will include constructing data processing pipelines, implementing complex machine learning models, and running large-scale machine learning workloads using distributed computing. We seek individuals passionate about tackling real-world problems, equipped with a strong technical background in domains such as machine learning or computer science. If you thrive in an environment focused on excellence, proactive ownership, and collective growth, we want to hear from you. Join us in turning visionary ideas into reality while enjoying a competitive salary, stock options, premium health benefits, and a culture that promotes well-being and flexibility.
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