Machine Learning Engineer, Search Quality
Mountain View, United States · Hybrid · Full-time
- Posted 1mo ago
- From Glean’s careers page
- Location
- Mountain View, United States
- Work mode
- Hybrid
- Type
- Full-time
- Experience
- 2+ years
- Department
- Data and Analytics
Opens the listing on job-boards.greenhouse.io
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About the role
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 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.\n\nYou will: \n- Invent new signals to improve the personalization of our search engine\n- Train a model to capture interactions between signals in our ranking system\n- Design smarter ways to domain-adapt language models to each customer’s corpus\n- Discover new ways of combining LLMs with search engines to answer complex questions\n- Write robust code that’s easy to read, maintain, and test\n- Mentor more junior engineers, or learn from battle-tested ones\n\nAbout you:\n- 2+ years of experience\n- BA/BS in computer science, math, sciences, or a related degree\n- Experience working with search, recommendation, natural language processing, or other large systems involving machine learning\n- Strong analytical skills and ability to work with data\n- Proven ability to design, build, and ship production-ready models\n- Proficiency in your ML framework of choice\n- Strong coding skills (Python, Go, Java, C++, ...)\n- 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\n- A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features\n\nLocation: Hybrid (4 days a week in our Mountain View office)\n\nCompensation & Benefits:\nThe standard base salary range for this position is $140,000 - $265,000 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.\nWe 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.\nWe’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.\n#LI-HYBRID
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About Glean
Enterprise AI search and agentsGlean provides enterprise AI search, assistants, and agents that help employees find and use company information.
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