Machine Learning Engineer, Enterprise Brain at Glean

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Enterprise SoftwareIndustries

Requirements

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 systems

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

Skills

Key technologies and capabilities for this role

Machine LearningAILLMEnterprise SearchAPIsSaaSPythonKubernetesGitHubMicrosoft TeamsZoom

Questions & Answers

Common questions about this position

What will I be working on as a Machine Learning Engineer on the Enterprise Brain team?

You will work on deeply challenging ML problems involving user understanding and task prediction, invent new LLM workflows and signals to improve reasoning, planning, and personalization, and design and optimize reinforcement learning and fine-tuning approaches to improve the quality of understanding, prediction, and other tasks.

What skills and technologies are required for this Machine Learning Engineer role?

The role requires expertise in LLM workflows, reinforcement learning, fine-tuning approaches, advanced ML techniques, agent orchestration, and cutting-edge ranking techniques, with a focus on user understanding and task prediction.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Machine Learning Engineer role remote or does it require office work?

This information is not specified in the job description.

What is the Enterprise Brain team at Glean working on?

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, built on top of a deep user understanding and state-of-the-art Enterprise graph.

Glean

AI-powered search tool for workplace productivity

About Glean

Glean enhances workplace productivity by providing an AI-powered search tool that works across all applications within a company. This tool utilizes deep learning-based Language Models to understand natural language queries, allowing users to find information more easily. It continuously learns from the specific language and context of a company, improving the relevance of search results without manual adjustments. Additionally, Glean offers a chat assistant that can analyze and summarize information from various company documents and conversations, further increasing efficiency. Unlike many competitors, Glean's focus on natural language processing and its ability to adapt to a company's unique context set it apart. The goal of Glean is to streamline information retrieval in the workplace, making it accessible and efficient for all types of organizations, from startups to large enterprises.

Palo Alto, CaliforniaHeadquarters

2019Year Founded

$637.1MTotal Funding

SERIES_ECompany Stage

Enterprise Software, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Healthcare - Happy and healthy go together. We cover medical, dental, and vision for you and yours.

Competitive compensation - Have a real stake in your job and your future with competitive stock options.

401(k) - We make it easy to save for the future today by contributing to a 401k.

Flexible work - We work 3 days a week in the office, though we believe in folks working where they can be most effective.

Company events - We work hard and play hard - from weekly happy hours to our annual company retreat.

Unlimited PTO - Flexible hours, PTO, company-wide summer and winter break shutdown

Transparent culture - By default we keep things open and accessible so we can make better decisions together, faster.

Learning and development - We offer a learning stipend to help you grow and achieve your goals.

Free meals - With lunch and dinner options every day, no need to work while you’re hungry.

Risks

Inflated valuations in AI could lead to financial instability for Glean.

Competition from tech giants like Microsoft and Amazon pressures Glean's market share.

Opening a new office in Bengaluru may strain resources and impact operational efficiency.

Differentiation

Glean uses AI to enhance workplace productivity with a unique search tool.

The platform integrates with enterprise data, providing personalized, context-aware search results.

Glean's AI assistant offers analyses and summaries, reducing time spent on information retrieval.

Upsides

Glean's $260M funding round doubled its valuation to $4.6 billion in 2023.

The rise of hybrid work models increases demand for Glean's seamless information retrieval tools.

Growing data privacy emphasis allows Glean to offer robust, compliant data hosting options.

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