Machine Learning Engineer, Enterprise Brain

Glean Technologies is hiring Machine Learning engineers to build proactive AI capabilities for the Enterprise Brain team in Mountain View. Responsibilities Take on advanced ML challenges focused on user understanding and task prediction Develop new LLM workflows and signals to strengthen reasoning, planning, and personalization Design and improve reinforcement learning and fine-tuning methods to raise quality of understanding, prediction, and other agentic systems Lead development of scalable evaluation, benchmarking, and optimization loops Build and maintain robust ML pipelines for enterprise and knowledge graph construction Measure, monitor, and improve data quality, model quality, and end-to-end system performance Partner with cross-functional teams to understand customer pain points and deliver production-ready ML solutions Mentor junior engineers or collaborate in a tight-knit, high-velocity engineering environment Requirements 6+ years of industry experience in machine learning engineering BA/BS in computer science, math, sciences, or a related field Proven ability to design, build, and ship production-ready models and systems Demonstrated expertise in ML evaluation, benchmarking, and data quality Proficiency in an ML framework of your choice, such as TensorFlow or PyTorch Ability to thrive in fast-moving, ambiguous environments by turning open-ended problems into clear priorities and production-ready outcomes Capacity to balance speed with quality through pragmatic tradeoffs that maintain production readiness Technologies TensorFlow PyTorch Location and Work Style Mountain View, CA (hybrid) 4 days per week in the Mountain View office Compensation and Benefits Base salary range: $200,000 - $280,000 annually Compensation determined by factors including location, level, job-related knowledge, skills, and experience Some roles may include eligibility for variable compensation, equity, and benefits Comprehensive benefits package including competitive compensation Medical coverage Vision coverage Dental coverage Generous time-off policy Opportunity to contribute to your 401k plan Home office improvement stipend Annual education and wellness stipends Regular events Healthy lunches daily AI-First Mindset at Glean Interview includes a brief AI-focused exercise or discussion to understand how you think about, design, and use AI to drive impact in the role You may reference tools, platforms, or workflows you use today; prior Glean experience is not required Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, GDPR, CCPA, or other privacy laws may regulate how Glean manages applicant data. A full notice is available in the Privacy Policy, and by submitting an application you agree to the processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in the Applicant Arbitration Agreement. #J-18808-Ljbffr Glean Technologies