Join Baseten as an Infrastructure Software Engineer to build and maintain components of our ML inference platform for AI applications.
Posted by employer 1 year ago
First seen on Joblaze 1 month ago
Last verified on the company career page 4 hours ago
Skills & Technologies
AI in the day-to-day
We enable companies operating at the frontier of AI to bring cutting-edge models into production.
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Infrastructure Software Engineer at Baseten, the individual will focus on developing and maintaining the core components of the machine learning inference platform that supports AI applications. Key skills include proficiency in Python and Go, along with experience in Kubernetes and an understanding of distributed systems. This position is ideal for someone with a background in computer science and a keen interest in machine learning infrastructure, particularly those looking to grow within a rapidly expanding company in the AI sector.
Joblaze insights
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, Go, Kubernetes, ML, Python.
- What seniority level is this role?
- baseten targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer - Infrastructure role at baseten.
From the original posting
THE ROLE
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Infrastructure team:
RESPONSIBILITIES
Develop infrastructure components for our ML inference platform using Python and Go
Implement and maintain Kubernetes deployments for model serving
Contribute to our inference orchestration layer for model deployments
Build and enhance monitoring systems for model performance metrics
Implement efficient resource management solutions for ML workloads
Support infrastructure automation to improve ML deployment workflows
Work closely with team members to implement technical solutions
Help balance performance optimization with system reliability
Participate in technical discussions around infrastructure improvements
Learn and apply infrastructure best practices
REQUIREMENTS
Bachelor's degree or higher in Computer Science or related field
Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus
Working knowledge of Kubernetes and containerization
Basic understanding of machine learning concepts and model serving
Familiarity with distributed systems concepts
Experience with basic monitoring and logging tools
Interest in ML/AI infrastructure and willingness to learn
Strong collaboration and communication skills
BENEFITS
Competitive compensation, including meaningful equity
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
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