About the job
Glean is seeking a few Machine Learning engineers who want to focus on a combination of Quality and traditional ML work to help us build the Enterprise Brain. The Enterprise Brain team is developing a suite of proactive AI products that aims to revolutionize enterprise workflows by proactively detecting and automating tasks for users - thus unlocking true productivity. This is built on top of a deep user understanding and state of the art Enterprise graph. The project involves using both LLM and other advanced ML techniques, agent orchestration and cutting-edge ranking techniques.
Responsibilities
Work on deeply challenging ML problems involving user understanding and task prediction.
Invent new LLM workflows and signals to improve reasoning, planning, and personalization.
Design and optimize reinforcement learning and fine-tuning approaches to improve the 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.
Drive initiatives to measure, monitor, and improve data quality, model quality, and end-to-end system performance.
Collaborate with cross-functional teams to deeply understand customer pain points and deliver high-quality, production-ready ML solutions.
Mentor junior engineers or learn from experienced ones in a tight-knit, high-velocity environment.
Qualifications
Minimum
3+ years of industry experience in AI or Machine Learning Engineering.
BA/BS in computer science, math, sciences, or a related field.
Experience with search, recommendation, natural language processing, or other large-scale ML systems.
Proven ability to design, build, and ship production-ready models and systems.
Demonstrated expertise in ML evaluation, benchmarking, and data quality—ideally with experience in building or maintaining evaluation frameworks for complex enterprise tasks.
Proficiency in your ML framework of choice (e.g., TensorFlow, PyTorch).
Strong coding skills (Python, Go, Java, C++, etc.).
Thrive in a customer-focused, cross-functional environment; a proactive and positive attitude is a must.
Preferred
No preferred qualifications listed.