about 1 year ago
Remote, Worldwide +2 moreEntry Level / Mid Level
Base Salary
$165k - $330k/yr
Responsibilities
- Develop infrastructure components for the ML inference platform using Python and Go.
- Implement and maintain Kubernetes deployments for model serving.
- Contribute to the 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.
- Flexible PTO policy including company-wide Winter Break.
- Paid parental leave.
- Fertility and family-building stipend through Carrot.
- Company-facilitated 401(k).
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.