Software Engineer, Machine Learning (Infrastructure)

Glean • San Francisco, CA

28d • $175,000 - $270,000 • Hybrid

About The Position

Glean is looking for engineers to help build the world’s best search and assistant product for work. Our engineers work on a range of systems across the stack, including generative AI, RAG, query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems.

Requirements

• 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

Responsibilities

• 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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level