Baseten
AI Inference Engineer
San Francisco, Remote. Posted 3 months ago
The role
You will partner with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform. This engineering role includes hands-on coding, product management, technical customer success, and pre-sales solution engineering.
What you will do
- Develop and maintain software systems and product features using general-purpose programming languages.
- Design, implement, and deploy Baseten solutions end-to-end.
- Work with customers' engineering teams during sales, implementation, and expansion.
- Turn vague objectives into clear specs and well-defined PoCs.
- Optimize and enhance AI/ML projects and contribute to the technical stack.
- Develop features and PRDs with engineering and product orgs.
- Own products and customer projects end-to-end as an engineer, project manager, and product manager.
- Navigate ambiguity and exercise judgment on tradeoffs and tools.
- Demonstrate pride, ownership, and accountability for work.
Required qualifications
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
- 2+ years of professional work experience in a fast-paced, high-growth environment.
- Demonstrated experience with one or more general-purpose programming languages in a production-level environment.
- Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment.
- Strong communication skills, particularly on complex technical topics.
Nice to have
- Python
- Experience in building or optimizing AI/ML projects
Benefits
- Competitive compensation, including meaningful equity
- 100% coverage of medical, dental, and vision insurance for employee and dependents (U.S. only)
- Flexible PTO policy including company wide Winter Break
- Paid parental leave
- Fertility and family-building stipend through Carrot
- Company-facilitated 401(k) (U.S. only)
- Exposure to a variety of ML startups
About the company
Baseten powers mission-critical inference for dynamic AI companies by uniting applied AI research, flexible infrastructure, and seamless developer tooling. The company recently raised a $1.5B Series F.