Machine Learning Engineer, Infrastructure
$175k/y-$270k/y
Glean2 days ago
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HybridFull-timeEntry
Summary
Glean is seeking a Machine Learning Engineer, Infrastructure to join their team in the San Francisco Bay Area. The role involves designing, building, and improving ML systems and data pipelines infrastructure.
About the Role
As a Machine Learning Engineer, Infrastructure, you will work on a range of systems across the stack, including generative AI, query understanding, and document understanding. You will design and improve ML systems, enable other ML engineers, write maintainable code, and mentor junior engineers.
About You
Required:
- 2+ years of experience in a relevant field.
- 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.
- Strong coding skills in languages such as Python, Go, Java, or C++.
- Ability to thrive in a customer-focused, cross-functional environment.
Preferred:
- Experience with ML systems and data pipelines.
- A proactive and positive attitude towards learning and problem-solving.
Benefits
- Competitive compensation with a salary range of $175k–$270k.
- Comprehensive benefits package including medical, vision, and dental coverage.
- Generous time-off policy and 401k plan contributions.
- Home office improvement stipend and annual education and wellness stipends.
- Vibrant company culture with regular events and healthy lunches provided.
Glean
Work AI for all. The Work AI platform connected to all your data. Find, create, and automate anything.
San Francisco Bay Area