2025 Summer Machine Learning Research Intern
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.
*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
We offer generous cash & equity compensation
Investors include US Innovative Technology, Gradient Ventures, Mercato Partners, SVB
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
We have a wildly talented team of 350+, and growing fast
Health, dental, and vision coverage for you and your dependents
Commuter/Work from home stipends for select roles
401k Plan with 2% company match
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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Join Lambda as a 2025 Summer Machine Learning Research Intern in our vibrant San Francisco office! At Lambda, we're not just about cutting-edge AI; we're a community of AI engineers with a mission to be the premier AI computing platform. As an intern, you'll dive into the exciting realm of generative AI, working hand-in-hand with top-notch professionals to develop datasets, design innovative models, and set new standards for evaluation methods. Imagine leveraging our high-performance compute resources to make real impacts through publications and open-source contributions! You'll be developing datasets that support robust model training and enhancing the performance of generative AI models. We're looking for enthusiastic Ph.D. students in Computer Science or related fields, ideally with experience publishing in prestigious ML conferences and proficiency in frameworks like PyTorch. While you’re getting hands-on experience and contributing to real research, you’ll also enjoy the flexibility of our work-from-home day on Tuesdays. This is a fantastic opportunity to grow your skills and connect with various leaders in AI while being part of an inclusive, dynamic team that values diverse backgrounds and experiences. Come help us make computation as ubiquitous as electricity and be at the forefront of AI advancements this summer!
By
Lambda
Lambda provides Artificial Intelligence and Machine Learning infrastructure to companies like Apple, Intel, Microsoft, MIT, Harvard, the Federal Government, and the DOD. Were headquartered in the Dogpatch and are a short walk from the 22nd Street ...
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