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Assistant Remote Machine Learning Engineer Jobs in Santa Clara, CA

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Assistant Remote Machine Learning Engineer information

See Santa Clara, CA salary details

$38.8K

$104.2K

$158K

How much do assistant remote machine learning engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for assistant remote machine learning engineer in Santa Clara, CA is $104,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $122,700.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Remote Machine Learning Engineer jobs in Santa Clara, CA?

The most popular types of Remote Machine Learning Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Assistant Remote Machine Learning Engineer jobs?

Cities near Santa Clara, CA with the most Assistant Remote Machine Learning Engineer job openings:

Assistant Remote Machine Learning Engineer jobs near you
Infographic showing various Assistant Remote Machine Learning Engineer job openings in Santa Clara, CA as of June 2026, with employment types broken down into 3% As Needed, 85% Full Time, 7% Part Time, 3% Temporary, and 2% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $104,236 per year, or $50.1 per hour.

Machine Learning Engineer II - AV Labs

Sunnyvale, CA • On-site, Remote

Uber Technologies, Inc.
Ground Public Transportation • 10K+ employees
Learn more about Uber Technologies, Inc.external

Full-time

Retirement

Re-posted 2 days ago

Uber rating

6.8

Company rating: 6.8 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

Job description

About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race-and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.

As a ML Engineer, you will be at the forefront of Physical AI, building advanced autonomy algorithms and models to add rich semantics to our massive driving data. You will be responsible for the development and implementation of the latest machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior.The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar.

What You Will Do
  • Algorithm Development: Develop algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake.
  • System Design: Implement scalable ML systems, including management of upstream sensor dependencies.
  • Dataset Optimization: Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling.
  • Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.
Basic Qualifications
  • 2+ years of working experience in the ML/Robotics industry.
  • Bachelor's degree (or higher) in Computer Science, Computer Engineering, or related fields.
  • Proficient in Python and Linux environments.
  • Familiar with modern AI/ML frameworks (e.g., PyTorch).
Preferred Qualifications
  • Experience in the Autonomous Driving domain.
  • Proven track record of deploying ML models in safety-critical physical systems.
  • Master's or PhD degree in Computer Vision, Robotics, or Machine Learning.
  • Familiarity with C++ and high-performance computing.

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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