Senior Machine Learning Deployment Specialist
7 days ago
About Baseten
We're a rapidly growing team of engineers backed by top-tier investors. Our ML infrastructure market is massive, and we're just getting started.
The Role
As a Senior Forward-Deployed Engineer at Baseten, you'll partner with our customers to engineer ML solutions using our open-source Truss system. This role provides a unique front-row view into the opportunities and challenges facing companies implementing ML and AI solutions at scale.
This role can be particularly relevant for entrepreneurial individuals who desire to apply their experience in a highly technical role.
Responsibilities:
- Develop and maintain software systems 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.
- Collaborate with cross-functional teams to understand and implement AI/ML pipelines, including the lifecycle of ML model development and deployment.
- Communicate effectively on complex technical topics, ensuring clarity and understanding across different stakeholders.
- Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack.
- Own products and projects end-to-end, functioning as both an engineer and a project 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.
Requirements:
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
- 1+ 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:
- A competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums).
- A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.
- An inclusive and supportive work culture that fosters learning and growth.
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
- A estimated salary range: $120,000 - $180,000 per year.
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