Staff Machine Learning Engineer
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Listed
- 17 days ago
Skills & highlights for this role
- Machine Learning
- Deep Learning
- Neural Networks
- Model Deployment
- Data Pipelines
Also useful
- Large Language Models
- Model Inference Optimization
- Terabyte-Scale Data Processing
About the role
In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production.
We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects.
Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
About Deploy
Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughout. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection. Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.
Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.
From Deploy's careers page, first listed on Rolev.ai on October 22, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Staff Machine Learning Engineer job at Deploy located?
This Staff Machine Learning Engineer position at Deploy is located in San Francisco, CA (On-site). Always check Deploy's application page for specific state eligibility or relocation policies.
What qualifications are required for Staff Machine Learning Engineer at Deploy?
For the Staff Machine Learning Engineer role, Deploy highlights experience with Machine Learning, Deep Learning, Neural Networks, Model Deployment, Data Pipelines. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Staff Machine Learning Engineer position at Deploy?
This listing links directly to Deploy's Lever application page. You can apply directly on Deploy's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Lever application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.