Machine Learning Engineer - AI Assistant + Autonomous ...

About the RoleGlean is looking for senior engineers who will provide expert-level individual contributions and thought leadership to help us build the next generation of intelligent enterprise AI assistants and autonomous AI agents. We are reimagining how LLMs and agents can reason, plan, and act to solve complex, multi-step enterprise workflows. You will work at the intersection of applied research and production engineering in areas such as agentic frameworks, LLM orchestration, low latency LLM inference and optimization, domain adapted and memory augmented LLMs, reinforcement learning, building evaluation frameworks for complex enterprise tasks. We work closely with our customers, deeply understand their pain points, and use the right mix of research-driven and pragmatic engineering approaches to solve them.ResponsibilitiesBuild frameworks for LLM-powered agents to use tools and knowledge sources effectivelyInvent new agentic architectures and signals to improve reasoning, planning, and personalization in workplace AI assistantsDesign and optimize reinforcement learning and fine-tuning approaches to improve the quality of agentic systemsLead development of scalable evaluation, benchmarking, and optimization loops for agents in productionDrive technical strategy and mentor other engineers, raising the technical bar across the teamWrite robust, maintainable, and well-tested code that powers enterprise-grade assistants and agentsAbout you2+ years as a Staff Engineer, Principal Engineer, or equivalent5+ years of industry experience in AI or Machine Learning EngineeringExperience working with agentic frameworks, reinforcement learning, natural language processing, or other large systems involving machine learningProven ability to design, build, and ship production-ready systemsProficiency 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 companyA proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large featuresLocationThis role is hybrid (3-4 days a week in one of our SF Bay Area offices)Compensation & BenefitsThe standard base salary range for this position is $240,000 - $300,000 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 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.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. #J-18808-Ljbffr

Created: 2025-09-17