SpaceX designs, manufactures and launches advanced rockets and spacecraft. The company was founded in 2002 to revolutionize space technology, with the ultimate goal of enabling people to live on other planets. Backed by Kleiner Perkins, a16z and Founders Fund.
About the role
You will develop, evaluate, and deploy AI capabilities across a range of engineering and business needs. Projects may include building tools and training environments for agents, developing machine learning systems with limited real-world data, and delivering internal AI applications. The work will evolve as new capabilities and opportunities emerge. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s degree in computer science, data science, engineering, math, or physics, OR 4+ years of professional experience building and training AI/ML systems in lieu of a degree
- 1 years of Python programming development and debugging software on Linux
- 1 years of experience with ML framework such as PyTorch, or practical experience developing agents and model-based applications
- 1 years of experience building or evaluating AI/ML systems through professional work, internships, research, or substantial independent projects
- Willing to work extended hours and weekends as needed
More about this role
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
SpaceX is building AI systems that accelerate engineering and make internal operations more effective. We are looking for software engineers who combine strong programming skills with practical machine learning knowledge and a willingness to solve unfamiliar problems.
You will develop, evaluate, and deploy AI capabilities across a range of engineering and business needs. Projects may include building tools and training environments for agents, developing machine learning systems with limited real-world data, and delivering internal AI applications. The work will evolve as new capabilities and opportunities emerge.
This role combines experimentation, software development, and secure infrastructure. You will work with engineers, domain experts, and business partners to take ideas from initial prototypes through deployment, using rigorous evaluations to understand performance, identify failures, and guide...
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