Machine Learning Research Intern - 2025 Summer

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.

Join Lambda as a 2025 Summer Machine Learning Research Intern (on-site, between May - September) to advance generative AI by developing datasets, designing models, and enhancing evaluation methods. Leverage Lambda’s compute resources to produce impactful research through publications and open-source contributions.

Key Directions

• Dataset: Develop datasets to support efficient and robust model training.

• Model: Build and improve generative AI models to enhance performance and capabilities.

• Evaluation: Set new standards for assessing generative AI’s performance.

Qualifications

Required

• Ph.D. student in Computer Science or related field, focusing on machine learning.

• Experience publishing in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, Siggraph).

• Skilled in PyTorch, or similar frameworks.

• Strong communication skills.

Nice to Have

• Contributions to open-source projects.

• Experience with generative AI (e.g., large language models, diffusion models, multi-modality models).

• Experience with designing dataset pipelines and benchmarks.

• Experience with training foundation models and optimizing the efficiency of ML workloads.

Visit Lambda’s research page for more information about our work and opportunities: https://lambdalabs.com/research 

Salary Range Information 

Based on market data and other factors, the hourly rate for this position is $40.00-$70.00 per hour. However, an hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

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.