Software Engineer, Machine Learning

1 Month ago • 2 Years + • Research Development • $140,000 PA - $265,000 PA

Job Summary

Job Description

Glean is seeking a Software Engineer specializing in Machine Learning to build the world's best search and assistant product. The role involves working on various systems like query understanding, document understanding, and domain-adapted language models. Responsibilities include improving search engine personalization, designing models for the ranking system, adapting language models, and combining LLMs with search engines. The engineer will write robust code, mentor junior engineers, and work in a customer-focused, cross-functional environment. The job involves understanding customer needs and solving problems with various tools.
Must have:
  • 2+ years of experience
  • BA/BS in computer science or related field
  • Experience with search or NLP
  • Strong analytical skills and data work ability
  • Design, build, and ship production-ready models
  • Proficiency in ML framework
  • Strong coding skills (Python, Go, Java, C++, ...)
  • Ability to thrive in a cross-functional environment
Perks:
  • Competitive compensation
  • Medical, Vision and Dental coverage
  • Flexible work environment and time-off policy
  • 401k
  • Company events
  • Home office improvement stipend
  • Annual education stipend
  • Wellness stipend
  • Healthy lunches and dinners provided daily

Job Details

About Glean

We’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-level, creative aspects of their work.

We’re building a system of intelligence for every company in the world. On the surface, you can think of it as Google + ChatGPT for the enterprise. Under the hood, our platform is the connective tissue between AI and knowledge. It brings all of a company’s knowledge together, understands it at a deep level, provides industry-leading search relevance over it, and connects it to generative AI agents and applications.

Glean was founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. We’re a diverse team of curious and creative people who want to help each other get big things done—so we can help other teams do the same. 

We're backed by some of the Valley's leading venture capitalists—including Sequoia, Kleiner Perkins, Lightspeed, and General Catalyst—and have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.

Role

Glean is looking for engineers to help build the world’s best search and assistant product for work. Our engineers work on a range of systems across the stack, including query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems.

What you will do and achieve:

  • Invent new signals to improve the personalization of our search engine
  • Train a model to capture interactions between signals in our ranking system
  • Design smarter ways to domain-adapt language models to each customer’s corpus
  • Discover new ways of combining LLMs with search engines to answer complex questions
  • Write robust code that’s easy to read, maintain, and test
  • Mentor more junior engineers, or learn from battle-tested ones

Who you are:

  • 2+ years of experience
  • BA/BS in computer science, math, sciences, or a related degree
  • Experience working with search, recommendation, natural language processing, or other large systems involving machine learning

Key knowledge and skills:

  • Strong analytical skills and ability to work with data
  • Proven ability to design, build, and ship production-ready models
  • Proficiency in your ML framework of choice
  • Strong coding skills (Python, Go, Java, C++, ...)
  • Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must
  • A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features

Benefits

  • Competitive compensation
  • Medical, Vision and Dental coverage
  • Flexible work environment and time-off policy
  • 401k
  • Company events
  • A home office improvement stipend when you first join
  • Annual education stipend
  • Wellness stipend
  • Healthy lunches and dinners provided daily

For California based applicants: 

The standard base salary range for this position is $140,000 - $265,000 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 are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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About The Company

We’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-level, creative aspects of their work. We’re building a system of intelligence for every company in the world. On the surface, you can think of it as Google + ChatGPT for the enterprise. Under the hood, our platform is the connective tissue between AI and knowledge. It brings all of a company’s knowledge together, understands it at a deep level, provides industry-leading search relevance over it, and connects it to generative AI agents and applications.

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