Software Engineer, Machine Learning

About GleanWe’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-level, creative aspects of their work.We’re building a system of intelligence for every company in the world. On the surface, you can think of it as Google + ChatGPT for the enterprise. Under the hood, our platform is the connective tissue between AI and knowledge. It brings all of a company’s knowledge together, understands it at a deep level, provides industry-leading search relevance over it, and connects it to generative AI agents and applications.Glean was founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. We’re a diverse team of curious and creative people who want to help each other get big things done—so we can help other teams do the same.We're backed by some of the Valley's leading venture capitalists—including Sequoia, Kleiner Perkins, Lightspeed, and General Catalyst—and have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.RoleGlean 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.What You Will Do And AchieveInvent new signals to improve the personalization of our search engineTrain a model to capture interactions between signals in our ranking systemDesign smarter ways to domain-adapt language models to each customer’s corpusDiscover new ways of combining LLMs with search engines to answer complex questionsWrite robust code that’s easy to read, maintain, and testMentor more junior engineers, or learn from battle-tested onesWho You Are2+ years of experienceBA/BS in computer science, math, sciences, or a related degreeExperience working with search, recommendation, natural language processing, or other large systems involving machine learningKey Knowledge And SkillsStrong analytical skills and ability to work with dataProven ability to design, build, and ship production-ready modelsProficiency in your ML framework of choiceStrong 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 mustA proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large featuresBenefitsCompetitive compensationMedical, Vision and Dental coverageFlexible work environment and time-off policy401kCompany eventsA home office improvement stipend when you first joinAnnual education stipendWellness stipendHealthy lunches and dinners provided dailyFor California Based ApplicantsThe 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.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.

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