7 months ago
Remote, Worldwide +2 moreMid Level / Senior
Base Salary
$165k - $330k/yr
Responsibilities
- Build and maintain scalable infrastructure for machine learning model deployment.
- Establish standards and best practices for infrastructure reliability and performance.
- Automate processes, particularly for CI/CD pipeline management.
- Own projects end-to-end, focusing on user empathy and execution.
- Collaborate with cross-functional teams to translate project requirements into technical solutions.
- Mentor junior team members and contribute to knowledge sharing.
- Navigate ambiguity and make informed decisions on tools and tradeoffs.
- Demonstrate ownership and accountability for your work.
Requirements
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or related field.
- Extensive experience with Kubernetes.
- Experience in building and maintaining scalable infrastructure.
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
- Experience with CI/CD tooling such as GitHub Actions or Jenkins.
- Relevant OSS observability experience is a plus.
- Ability to manage projects from specification to execution.
- Open to learning about machine learning, no prior experience required.
Benefits
- Competitive compensation with meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employees and dependents.
- Flexible PTO policy including a company-wide Winter Break.
- Paid parental leave.
- Fertility and family-building stipend through Carrot.
- Company-facilitated 401(k).
- Exposure to various ML startups for learning and networking opportunities.