Machine Learning Engineer, Community Notes
Job Description
- Experience developing and shipping high-impact ML solutions end-to-end: from creating training data pipelines, to developing novel model architectures, to deploying to production at scale reliably
- Demonstrated ability to work with real-world data to extract insights, inform product roadmap and develop guiding metrics in situations that lack cut-and-dry evaluation criteria
- Familiarity with one or more deep learning software frameworks, e.g. PyTorch
- Enjoy working in a 0-to-1 space with no known machine learning or product solutions, and trailblazing to build novel solutions that work
- Love doing whatever work is needed to get things done, enabling rapid iteration on the product
- Equity
- Comprehensive medical, vision, and dental coverage
- Access to a 401(k) retirement plan
- Short & long-term disability insurance
- Life insurance
- Various other discounts and perks
About xAI
xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the team
We are the Community Notes team — empowering the people to keep each other better informed, with a fully open source algorithm and data. Community Notes is constantly advancing the state-of-the-art in improving the quality of information on the internet and we employ an experimental, fast-moving, iterative approach to find product solutions that work for people of all different points of view.
What You’ll Do:
- Design and build improvements to our unique machine learning algorithm that improve Community Notes’ helpfulness, accuracy, scale, speed, and manipulation resistance
- Work in public: contribute to our open source code base, supporting external engineers working with our public data. For (example).
- Build efficient, scalable internal production machine learning systems and infrastructure
- Contribute to the entire product via tight cross-functional collaborations with product/eng/etc
Qualifications:
- Experience developing and shipping high-impact ML solutions end-to-end: from getting your hands dirty creating training data pipelines, to developing novel model architectures, to deploying to production at scale reliably
- Demonstrated ability to work with real-world data to extract insights, inform product roadmap and develop guiding metrics in situations that lack cut-and-dry evaluation criteria
- Familiarity with one or more deep learning software frameworks, e.g. PyTorch
- Enjoy working in a 0-to-1 space with no known machine learning or product solutions, and trailblazing to build novel solutions that work
- Love doing whatever work is needed to get things done, enabling rapid iteration on the product
Benefits
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
xAI is an equal opportunity employer.
