Senior Critical Facility Engineer handling infrastructure operations and maintenance for data center clients. Leading a team to ensure 100% uptime and operational excellence in critical facility environments.
About the role
- Forward Deployed Engineer at Baseten developing and deploying production AI applications. Collaborating with customers to build high-scale AI solutions and optimize ML projects.
Responsibilities
- Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.
- Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.
- Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers
- Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.
- Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.
- Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
- Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.
Requirements
- 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, with a strong preference for Python.
- Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment.
- Strong communication skills, particularly on complex technical topics.
- Experience in building or optimizing AI/ML projects is highly valued.
Benefits
- Competitive compensation, including meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employee and dependents
- Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
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