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Description:
- Build and operate infrastructure for training, evaluating, deploying, and monitoring machine learning models.
- Develop pipelines, services, and integrations for data lakes, telemetry stores, and cloud compute.
Requirements:
- 3+ years in software, infrastructure, or data engineering with ML experience.
- Strong programming skills in Python; experience with Go, C++, or similar languages preferred.
- Experience with AWS, Infrastructure as Code, Kubernetes, and containerized environments.
- Ability to work across engineering disciplines and solve technical problems.
- U.S. Citizenship and ability to obtain a U.S. Government security clearance.
Benefits:
- 100% employer-paid health, dental, and vision insurance for employees and families.
- Life insurance (employer paid) and 401k program with matching.
- Unlimited PTO policy with a minimum of 2 weeks enforced.
- Equity package and work/home office stipend.
- 16 weeks paid parental leave and monthly health and wellness stipend.
Job title
Job type
Experience level
Required experience
3 years
Salary
$150,000—$175,000 / year
Degree requirement
No degree requiredLocation requirements
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