Machine Learning Engineer
Glean · Technology
- Location: San Francisco (United States of America)
- Work arrangement: hybrid
- Employment type: Full Time
- Salary: $180k - $205k USD/yr
- Seniority: middle
- Posted:
Job description
Position:
Machine Learning Engineer, Assistant Quality
Company:
Glean
Compensation:
The standard base salary range for this position is $180,000 - $205,000 annually.
Location:
United States, San Francisco, CA
Employment type:
Not specified
Work Arrangement:
Hybrid (4 days a week in our San Francisco office)
Short Summary:
Glean is seeking a Machine Learning Engineer to improve the quality of our AI Assistant and autonomous agents, focusing on building, evaluating, and iterating on assistant experiences that are useful and reliable.
Responsibilities:
- Build and improve ML and LLM-powered systems that raise the quality of Glean’s 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.
- 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.
Requirement:
- 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.
- Experience in LLM applications, NLP, search, retrieval, recommendations, evaluation frameworks, agent systems, or personalization.
- Proficiency in common ML tooling and strong software engineering fundamentals in languages such as Python, Go, Java, or C++.
- A pragmatic, product-minded approach with a proactive, low-ego working style.
Benefits:
- Comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and 401k plan.
- Home office improvement stipend, annual education and wellness stipends.
- Vibrant company culture through regular events and healthy lunches daily.
- Commitment to building and sustaining a diverse, inclusive workplace.
Machine Learning Engineer, Assistant Quality
Company:
Glean
Compensation:
The standard base salary range for this position is $180,000 - $205,000 annually.
Location:
United States, San Francisco, CA
Employment type:
Not specified
Work Arrangement:
Hybrid (4 days a week in our San Francisco office)
Short Summary:
Glean is seeking a Machine Learning Engineer to improve the quality of our AI Assistant and autonomous agents, focusing on building, evaluating, and iterating on assistant experiences that are useful and reliable.
Responsibilities:
- Build and improve ML and LLM-powered systems that raise the quality of Glean’s 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.
- 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.
Requirement:
- 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.
- Experience in LLM applications, NLP, search, retrieval, recommendations, evaluation frameworks, agent systems, or personalization.
- Proficiency in common ML tooling and strong software engineering fundamentals in languages such as Python, Go, Java, or C++.
- A pragmatic, product-minded approach with a proactive, low-ego working style.
Benefits:
- Comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and 401k plan.
- Home office improvement stipend, annual education and wellness stipends.
- Vibrant company culture through regular events and healthy lunches daily.
- Commitment to building and sustaining a diverse, inclusive workplace.
Skills
- performance_marketing
- golang
- java
- ml
- nlp
- python
Languages
EN
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