At Relativity Space, we have two audacious goals: to build the next great commercial launch company with Terran R and to become America's leading force in additive manufacturing innovation. Both contribute to our long-term vision of creating humanity’s industrial base on Mars, paving the way for interplanetary life to expand the possibilities of the human experience. This journey begins right here on Earth – where we design, build, and fly rockets to deliver customer payloads to orbit. Terran R, our medium-to-heavy lift reusable rocket, fulfills the growing demand for launch capacity, thanks to our iterative approach that accelerates design, testing, and development while minimizing costs. While our groundbreaking research and development in 3D printing pushes the boundaries of large-scale additive manufacturing.
Your journey with us is more than just a job – it’s an opportunity to shape the future of aerospace technology, additive manufacturing, and the human experience alongside a community of passionate, creative individuals. Join us on this extraordinary journey, as we work together to transform our vision into reality.
About the Team:
The additive technology team leads research and development of Relativity’s Stargate 3D-printing platform and factory operating system to produce large-scale metal structures for the industrial base. The team works with robotics engineers, data scientists, systems engineers, and welders to advance Relativity’s innovative tech stack, which leverages autonomy, advanced simulation, machine learning, and robotics. Working at the intersection of hardware and software, the team is creating a unified platform that can perform additive manufacturing, in-situ monitoring, NDE, and subtraction capabilities in a single print cell. Progressing in parallel to Terran R development, Relativity’s breakthroughs in large-scale additive manufacturing have the potential to revolutionize the defense industrial base.
About the Role:
- Design, implement, and evaluate machine learning models related to large scale additive manufacturing systems
- Use a strong theoretical understanding of ML to guide model selection and optimization based on the data on hand and model performance requirements
- Collaborate with other teams to deploy ML models into production environments
- Extract insights from a wide range of data sources such as sensors, cameras, and physical simulations to understand and optimize the interactions between materials, printing processes, and product performance
- Communicate and collaborate effectively with stakeholders, including non-technical members of the team
About You:
- Degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field
- 2+ years professional experience in a field related to machine learning
- Programming skills in Python or similar languages
- Demonstrated theoretical understanding of machine learning and statistics
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Proficiency in statistical analysis, optimization, and data visualization tools
- Proficiency with collaborative software development concepts such as git, code review, and CICD
Nice to haves but not required:
- An advanced degree (PhD or Master's)
- Professional experience applying machine learning in a science or engineering field
- Experience in the field of Additive Manufacturing
At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors.
Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here.
Hiring Range:
$136,000—$173,000 USD
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Top Skills
Similar Jobs at Relativity Space
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
