Machine Learning Engineer, Infrastructure
Build and improve ML systems and data pipelines infrastructure to support modeling engineers. Requires 2+ years experience, bachelor's in CS/math/sciences, strong coding in Python/Go/Java/C++, and production ML infra expertise.
About the job
You will:
- Design, build, and improve ML systems and Data pipelines infrastructure
- Work with and enable other ML engineers focused on modeling
- Write robust code that's easy to read, maintain, and test
- Mentor more junior engineers, or learn from battle-tested ones
About you:
- 2+ years of experience
- BA/BS in computer science, math, sciences, or a related degree
- Proven ability to design, build, and ship production-ready software, ideally around AI/ML infrastructure (Pipelines, Serving etc)
- Strong coding skills (Python, Go, Java, C++, ...)
- Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must
- A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features
Compensation & Benefits
The standard base salary range for this position is $175,000 - $270,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
Skills
Python, Go, Java, C++, Ml Pipelines, Data Pipelines, AI Infrastructure, RAG, Generative AI, Kubernetes
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