Software Engineer, Machine Learning (Infrastructure)

Glean; Palo Alto (CA); Hybrid; USD 140,000 - 265,000; Full time

Job summary

Glean is seeking a Software Engineer specializing in Machine Learning to develop cutting-edge search and assistant products. The role involves designing ML systems, mentoring engineers, and collaborating closely with customers to address their needs. Ideal candidates have over 5 years of experience and a strong educational background in computer science or related fields.

Benefits

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

Qualifications

• 5+ years of experience in ML infrastructure.
• Experience in search or natural language processing.
• Ability to design and ship production-ready software.

Responsibilities

• Design, build, and improve ML systems and infrastructure.
• Work with ML engineers on modeling.
• Mentor junior engineers.

Skills

Design and build ML systems

Write robust code

Mentor junior engineers

Customer-focused

Proactive attitude

Education

BA/BS in computer science, math, or related field

Tools

ML infrastructure

GenAI

Job description

Software Engineer, Machine Learning (Infrastructure)

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 generative AI, RAG, 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:

• Design, build, and improve ML systems and infrastructure
• Work with and enable other ML engineers focused on modeling
• Write robust code that’s easy to read, maintain, and test
• Mentor more junior engineers, or learn from battle-tested ones

Who you are:

• 5+ years of experience
• BA/BS in computer science, math, sciences, or a related degree
• Experience working with ML infrastructure and engineering for search, recommendation, natural language processing, or something similar

Key knowledge and skills:

• Proven ability to design, build, and ship production-ready software, ideally around ML infrastructure (pipelines, serving, GenAI)
• 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
• 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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