Applied Machine Learning Researcher

San Francisco Office

Lambda

The GPU Cloud built for AI developers. Featuring on-demand & reserved cloud NVIDIA H100, NVIDIA H200 and NVIDIA Blackwell GPUs for AI training & inference.

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In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.


If you'd like to build the world's best deep learning cloud, join us. 

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

  • Incubate research ideas and turn them into practical applications for Lambda’s products.

  • Work with engineering and product teams to build AI-powered applications.

  • Focus on LLMs and agentic applications.

You 

  • A power user of AI applications with a strong sense of what makes them intuitive and effective.

  • Passionate about turning research into practical applications and pushing their capabilities further.

  • Have a strong track record of building and delivering in this space.

Nice to Have

  • Strong engineering skills in prototyping and system integration.

  • Experience with building multi-modal AI applications.

  • Familiarity with post-training techniques, model steering, or quantization.

  • Contributions to open-source projects.

Salary Range Information 

Based on market data and other factors, the salary range for this position is $225,000 - $375,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. Compensation is also based on seniority, and this range encapsulates multiple levels within the role.

About Lambda

  • Founded in 2012, ~350 employees (2024) and growing fast

  • We offer generous cash & equity compensation

  • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.

  • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability

  • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

  • Health, dental, and vision coverage for you and your dependents

  • Commuter/Work from home stipends for select roles

  • 401k Plan with 2% company match (USA employees)

  • Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Tags: Deep Learning Engineering GPU Lambda LLMs Machine Learning NeurIPS Open Source Prototyping Research

Perks/benefits: 401(k) matching Conferences Equity / stock options Flex vacation Health care

Regions: Remote/Anywhere North America
Country: United States

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