Field Engineering Intern

Lambda

ML engineering intern at Lambda working on customer optimization with advanced GPU infrastructure. Gain hands-on experience while collaborating with ML engineers and presenting to leadership.

Posted 5/20/2026internshipSan Francisco • California • 🇺🇸 United StatesEntry Level💰 $51 - $65 per hourWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Learn directly from ML engineers who made the transition to customer-facing field engineering, gaining firsthand exposure to how deep ML expertise translates into real-world customer impact
Work on real, cutting-edge customer workloads running on the most advanced GPU infrastructure available, supporting customer onboarding, optimization engagements, and production deployments across some of the most demanding ML use cases in the industry
Review prior optimization work, evaluate strategies against current best practices, and recommend improvements
Develop a structured optimization playbook and case studies that capture the team's methodology and quantify the value of field engineering work in a repeatable, scalable format
Present your work to company leadership at the close of the engagement

Requirements

What you’ll need

Currently pursuing or just completed a Master's degree in Computer Science, Machine Learning, or a related field
Strong Python skills with hands-on experience in ML inference, model optimization, benchmarking / evaluations, or applied ML deployment.
Have a solid background and general knowledge of machine learning model architecture
You have the skillset to be able to write code (without any AI assistance) to build an ML model and debug from scratch.
You understand how models run in production – MLOps tools, open-source models, orchestration strategies.
You have a strong understanding of fine-tuning models.
Are curious and keep up to date with new models, techniques, strategies, and releases in machine learning and are driven to bring these insights to your work.
Can write clearly for both technical and non-technical audiences, translating results is as important as producing them
Comfortable using Claude or equivalent AI tools as a core part of your daily workflow
Self-directed: given a scoped problem and a mentor, you can break it into milestones and drive it to completion

Benefits

Comp & perks

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 that we all actually use

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonmachine learningmodel optimizationbenchmarkingMLOpsmodel architecturefine-tuningapplied ML deploymentdebuggingcustomer onboarding

Soft Skills

curiositycommunicationself-directedproblem-solvingpresentation skills

Certifications

Master's degree in Computer ScienceMaster's degree in Machine Learning