Enter a job title or keyword
Machine Learning Engineer, Assistant Quality
Job Location:
Job Location:
San Francisco, CA - USA
Yearly Salary:
$ 180000 - 205000
Yearly Salary:
Posted:
6 August 2026 (30+ days ago)
Posted:
Application Deadline:
3 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys most advanced enterprise search has evolved into a full-scale Work AI ecosystem powering intelligent Search an AI Assistant and scalable AI agents on one secure open platform. With over 100 enterprise SaaS connectors flexible LLM choice and robust APIs Glean gives organizations the infrastructure to govern scale and customize AI across their entire business - without vendor lock-in or costly implementation cycles.
At its core Glean is redefining how enterprises find use and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people content and activity delivering deeply personalized context-aware responses for every employee. This foundation powers Gleans agentic capabilities - AI agents that automate real work across teams by accessing the industrys broadest range of data: enterprise and world structured and unstructured historical and real-time. The result: measurable business impact through faster onboarding hours of productivity gained each week and smarter safer decisions at every level.
Recognized by Fast Company as one of the Worlds Most Innovative Companies (Top 10 2025) by CNBCs Disruptor 50 Bloombergs AI Startups to Watch (2026) Forbes AI 50 and Gartners Tech Innovators in Agentic AI Glean continues to accelerate its global impact. With customers across 50 industries and 1000 employees in more than 25 countries were helping the worlds largest organizations make every employee AI-fluent and turning the superintelligent enterprise from concept into reality.
If youre excited to shape how the world works youll help build systems used daily across Microsoft Teams Zoom ServiceNow Zendesk GitHub and many more - deeply embedded where people get things done. Youll 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.
About the Role:
Glean is seekinga Machine Learning Engineer to improve the quality of our AI Assistant and autonomous agents. This role sits at the intersection of production machine learning LLM-powered systems and product engineering with a focus on building evaluating and iterating on assistant experiences that are useful reliable and grounded in real enterprise workflows.
You will work on applied problems across agent quality evaluation personalization retrieval and orchestration. The ideal person is excited by shipping production systems not pure research and wants to help shape how Gleans assistant gets better over time through stronger signals tighter feedback loops and better end-to-end execution quality.
You will:
- Build and improve ML and LLM-powered systems that raise the quality of Gleans AI Assistant and autonomous agents across real user workflows.
- Design evaluation benchmarking and monitoring loops to measure assistant quality model quality and end-to-end system performance.
- Develop and iterate on signals prompts workflows and model-driven logic that improve reasoning planning personalization and task completion quality.
- Work across areas such as RAG semantic search recommendation-style systems post-training or reinforcement learning and agent orchestration where they materially improve product outcomes.
- Partner closely with product design and engineering teammates to understand customer pain points and ship high-quality production systems quickly.
- Contribute to the data and ML infrastructure needed to support robust experimentation offline and online evaluation and continuous model improvement.
About you:
- 2 years of industry experience in machine learning applied AI or software engineering with significant ML ownership.
- Strong hands-on coding ability and a track record of shipping production systems not just prototypes or research projects.
- Experience in one or more of the following areas: LLM applications NLP search retrieval recommendations evaluation frameworks agent systems or personalization.
- Comfort working across both modeling and product engineering details including experimentation quality measurement and production iteration.
- Proficiency in common ML tooling and strong software engineering fundamentals in languages such as Python Go Java or C.
- A pragmatic product-minded approach. You know when to use sophisticated ML techniques and when simple reliable systems are the better answer.
- A proactive low-ego working style and excitement about learning quickly in a high-velocity environment.
Location:
- This role is hybrid (4 days a week in our San Francisco office)
Compensation & Benefits:
The standard base salary range for this position is $180000 - $205000 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 youll 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.
Were 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.
#LI-HYBRID
AI-First Mindset at Glean:
At Glean AI fluency is core to how we work and were committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process youll 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 isnt required.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location the General Data Protection Regulation (GDPR) California Consumer Privacy Act (CCPA) or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our . By submitting your application you are agreeing to our use and processing of your data as applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking Submit Application I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement and I agree to the terms.
Required Experience:
Junior IC
About Company
Glean was created to deliver healthy and fresh foods - made directly from fruits and vegetables - into your hands! Sweet Potato Flour & Pumpkin Flour now available. Our team is made up of a handful of passionate people who have worked in food and agriculture most of their careers - ... View more
