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Machine Learning Software Engineer Jobs in San Francisco, CA

Meta

Software Engineer, Machine Learning

Menlo Park, CA · On-site

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Working closely with process engineers, software engineers, and fellow ML engineers, you will ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Working closely with process engineers, software engineers, and fellow ML engineers, you will ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Working closely with process engineers, software engineers, and fellow ML engineers, you will ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

We are building an AI-driven simulation software stack for engineering and manufacturing across ... Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ...

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110 - $165/hr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... Software Engineering * Strong Python programming skills with experience building production‑ready ...

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Machine Learning Software Engineer information

See San Francisco, CA salary details

$74.8K

$173.8K

$242.1K

How much do machine learning software engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for machine learning software engineer in San Francisco, CA is $173,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,400.00 and $203,800.00 per year, depending on experience, location, and employer.

What does a machine learning software engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive as a machine learning software engineer?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

Is machine learning software engineer a high paying job?

Machine learning software engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming languages like Python and experience with frameworks like TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

What are the most commonly searched types of Machine Learning Software Engineer jobs in San Francisco, CA?

The most popular types of Machine Learning Software Engineer jobs in San Francisco, CA are:

What are popular job titles related to Machine Learning Software Engineer jobs in San Francisco, CA?

For Machine Learning Software Engineer jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Software Engineer jobs in San Francisco, CA look for?

The top searched job categories for Machine Learning Software Engineer jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Machine Learning Software Engineer jobs?

Cities near San Francisco, CA with the most Machine Learning Software Engineer job openings:

Machine Learning Software Engineer jobs near you
Infographic showing various Machine Learning Software Engineer job openings in San Francisco, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $173,808 per year, or $83.6 per hour.

Senior/Staff Software Engineer - Prediction Machine Learning Engineer

jobs.frontdoordefense.com - Jobboard

Foster City, CA • On-site

$221 - $319/hr

Other

Medical, Life, PTO

Posted 23 days ago

Job description

Senior/Staff Software Engineer - Prediction Machine Learning Engineer Develop new algorithms to model the future behavior of all other agents in the world.

Location: Foster City, California, United States

Compensation: $221,000 to $319,000 USD per year

Job Tags: Software

About The Role

Senior/Staff Software Engineer - Prediction Machine Learning Engineer

Foster City, CA

Software – Prediction / Full-time / Hybrid

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance.

As a Prediction Machine Learning Engineer you will be responsible for developing machine learned models to predict the behavior of other agents in the world.

In this role, you will:
  • You will develop new algorithms to model the future behavior of all other agents in the world
  • You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
  • You will develop metrics and tools to analyze errors and understand improvements of our systems
  • You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments
Qualifications
  • BS, MS, or PhD degree in computer science or related field
  • Experience with training and deploying transformer-based model architectures
  • Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
  • Fluency in C++ or Fluency in Python with a basic understanding of C++
  • Extensive experience with programming and algorithm design
  • Strong mathematics skills
Bonus Qualifications
  • Conference or Journal publications in Machine Learning or Robotics related venues
  • Prior experience with Prediction and/or autonomous vehicles or robotics in general
Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $221,000 to $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job‑related knowledge, skills, and experience.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long‑term care insurance, long‑term and short‑term disability insurance, and life insurance.

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