Full Stack Engineer developing AI systems for a proactive chat app. Building features across frontend, backend, and AI integrations for reliable workflows.
About the role
- Infrastructure Software Engineer at Baseten building ML inference platform components with Python and Go. Collaborating with teams on Kubernetes deployments and resource management solutions.
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.
- 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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