Software Engineer, Machine Learning

Machine Learning Engineer, Search Quality Mountain View, CA 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. Responsibilities Invent new signals to improve the personalization of our search engine Train a model to capture interactions between signals in our ranking system Design smarter ways to domain‑adapt language models to each customer’s corpus Discover new ways of combining LLMs with search engines to answer complex questions Write robust code that’s easy to read, maintain, and test Mentor more junior engineers, or learn from battle‑tested ones Qualifications 2+ years of experience BA/BS in computer science, math, sciences, or a related degree Experience working with search, recommendation, natural language processing, or other large systems involving machine learning Strong analytical skills and ability to work with data Proven ability to design, build, and ship production‑ready models Proficiency in your ML framework of choice 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 Location This role is hybrid (3-4 days a week in our Mountain View, CA office) Compensation The 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. 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. Equal Employment Opportunity We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. Interview Process As part of the interview process, you'll complete a brief AI‑focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. We are excited to shape how the world works. You’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more — deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. #J-18808-Ljbffr Glean.info