Machine Learning Research Intern Job at Lambda (San Francisco)

Machine Learning Research Intern

Lambda

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

40.00 - 70.00 USD / Hour

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Job Description:

Join Lambda as a Machine Learning Research Intern and help advance the frontiers of generative AI. You’ll collaborate closely with world-class researchers and engineers, leveraging Lambda’s compute to optimize model and system performance. Our interns work hands-on across two complementary tracks, Fundamental Research and Applied Research, depending on their interests and experience.

Job Responsibility:

Research in foundation models for language, vision, life sciences and robotics
Multi-modal research, including building efficient data and evaluation toolkits
Publish findings in top-tier ML Research conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV/ECCV, ACL, SIGGRAPH), and/or as technical blogs, public datasets, benchmarks, and open-source tools
Maximize training and inference performance for large-scale AI systems
Systematic model and agent evaluation
Publish findings in top-tier ML system conferences (e.g. MLSys, OSDI, SOSP, NSDI), and/or as technical blogs, public dataset, benchmarks, and open-source tools

Requirements:

BS, MS, or Ph.D. student in Computer Science or related field, focusing on Machine Learning
Demonstrated project experience or publications in relevant areas
Proficient in PyTorch or similar frameworks
Strong communication and collaboration skills

Nice to have:

Contributions to open-source machine learning projects
Experience with foundation models, multi-modal, agentic systems
Experience with dataset creation, evaluation design, or system benchmarking
Experience optimizing model efficiency or scaling ML workloads

What we offer:

Generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan

Additional Information:

Job Posted:
February 18, 2026

Work Type:

Hybrid work

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