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Software Engineer Mle Jobs in California (NOW HIRING)

David Joseph & Company

Software Engineer

Palo Alto, CA · On-site

$150K - $175K/yr

Deep specialization in one domain (DevOps, MLE, system design, Rust, algorithms, or equivalent) * Strong software-engineering fundamentals alongside the specialization * Palo Alto / SF in-person ...

Icwgroup

Machine Learning Engineer

San Diego, CA · Hybrid

As an MLE on the rapidly growing Enterprise Analytics team, you will have the opportunity to shape ... Strong knowledge and experience with containers, software design patterns, unit testing, CI/CD ...

OpenAI

Engineering Manager, MLE

San Francisco, CA · On-site

The Engineering Manager, MLE role involves designing and deploying advanced machine learning models ... with researchers, software engineers, and product managers to understand complex business ...

ICW Group

Machine Learning Engineer

San Diego, CA · On-site

As an MLE on the rapidly growing Enterprise Analytics team, you will have the opportunity to shape ... Strong knowledge and experience with containers, software design patterns, unit testing, CI/CD ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

GumGum

Senior Platform Engineer

Santa Monica, CA

$186K - $215K/yr

... MLE) team on the AI/agent layer itself - model choice, context design, guardrails. This role sits at the center of how GumGum Engineering builds software for years to come. Note: GumGum fosters a ...

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

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Software Engineer Mle information

What is the difference between Software Engineer Mle vs Data Scientist?

AspectSoftware Engineer MleData Scientist
Required CredentialsBachelor's in CS or related, knowledge of ML frameworksBachelor's or higher in CS, statistics, or related
Work EnvironmentDevelops ML models, integrates into software productsAnalyzes data, builds predictive models, reports insights
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions

While both roles involve machine learning, Software Engineer Mle focuses on integrating ML models into software applications, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and work environment.

What are popular job titles related to Software Engineer Mle jobs in California? For Software Engineer Mle jobs in California, the most frequently searched job titles are:
What job categories do people searching Software Engineer Mle jobs in California look for? The top searched job categories for Software Engineer Mle jobs in California are:
What cities in California are hiring for Software Engineer Mle jobs? Cities in California with the most Software Engineer Mle job openings:
Software Engineer Mle jobs near you
Infographic showing various Software Engineer Mle job openings in California as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, 2% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Sr Software Engineer, MLE - AV Labs

Uber Technologies, Inc.

Sunnyvale, CA • On-site, Remote

Full-time

Retirement

Posted 3 days ago

New

Uber rating

6.9

Company rating: 6.9 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

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 Senior 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 the Candidate Will Do

  • Algorithm Development: Lead the development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake.
  • Systems Architecture Design: Architect scalable ML systems, including management of upstream sensor dependencies.
  • Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions for ML technology that can stand the test of scale and availability.
  • 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

  • 4+ years of working experience in the ML/Robotics industry.
  • Bachelor's degree 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 $202,000 per year - USD $224,000 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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