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Senior Machine Learning Engineer Jobs in California

Sr Machine Learning Engineer

Thousand Oaks, CA ยท On-site

$158.61K - $200.05K/yr

Senior Machine Learning Engineer Duties: Lead efforts with Amgen business leaders to identify, explore and develop transformative AI and ML solutions to enable access to computational tools and data ...

Senior Machine Learning Engineer

Brisbane, CA ยท On-site

$147.40K - $194.30K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

Sr Machine Learning Engineer

Thousand Oaks, CA ยท On-site +1

$158.61K - $200.05K/yr

Senior Machine Learning Engineer Duties:Lead efforts with Amgen business leaders to identify, explore and develop transformative AI and ML solutions to enable access to computational tools and data ...

Senior Machine Learning Engineer

Brisbane, CA ยท On-site +1

$147.40K - $194.30K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Sr. Machine Learning Engineer

San Francisco, CA ยท Remote

$123.10K - $169.10K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

Sr. Machine Learning Engineer

San Diego, CA ยท Remote

$111.30K - $152.80K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

Sr. Machine Learning Engineer

Santa Barbara, CA ยท Remote

$112.80K - $154.80K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

Sr. Machine Learning Engineer

Goleta, CA ยท Remote

$112.80K - $154.80K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

Senior Machine Learning Engineer

San Francisco, CA ยท On-site +1

$186.10K - $300.55K/yr

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our global services. You won't just be building dashboards; you will be building the "brain" of our ...

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Showing results 1-20

Senior Machine Learning Engineer information

See California salary details

$58.7K

$124.9K

$181.1K

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

As of May 31, 2026, the average yearly pay for senior machine learning engineer in California is $124,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $141,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in California? The most popular types of Machine Learning Engineer jobs in California are:
What cities in California are hiring for Senior Machine Learning Engineer jobs? Cities in California with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in California as of May 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $124,900 per year, or $60 per hour.
Senior Machine Learning Engineer - Robotics

Senior Machine Learning Engineer - Robotics

Johnson and Johnson

Santa Clara, CA โ€ข On-site

$125K - $201.25K/yr

Full-time

Vision, Retirement, PTO

Posted 10 days ago


Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Data Science
Job Category:
Scientific/Technology
All Job Posting Locations:
Santa Clara, California, United States of America
Job Description:
We are searching for the best talent for Senior Machine Learning Engineer - Robotics to be in Santa Clara, CA.
About MedTech
Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments.
Your unique talents will help patients on their journey to wellness.
Learn more at https://www.jnj.com/medtech
Purpose:
We are looking for a highly skilled and innovative Senior Machine Learning Engineer to apply the latest advances in learning-based manipulation to improve the performance and safety of surgical robotics. In this hands-on role you will rapidly design models, implement algorithms, and bring ML-trained manipulation behaviors from research to real-world robotic hardware in unstructured environments. As a senior member of the team, you will be responsible for mentoring engineers and elevating the team's overall technical capabilities.
You will be responsible for:
  • Developing and implementing ML algorithms for surgical robotic task automation.
  • Building pipelines for data collection, training, testing and deployment of ML models.
  • Leverage simulation for prototyping, training, and transfer to robot hardware.
  • Define and evaluate performance metrics for surgical tasks and implement rigorous testing protocols.
  • Collaborate with software and controls teams to deploy learned policies and ensure safe and reliable execution.
  • Optimize models for onboard real-time performance on robotic hardware.
  • Stay current with the latest robotics and AI research, mentor team members, and drive innovation.

Qualifications / Requirements:
  • PhD/MS in Machine Learning, Computer Science, Robotics, or related field and 0+/3+ years of work experience.
  • 3+ years of hands-on experience implementing and deploying ML models for robotic manipulation and experience with large multimodal ML models.
  • Mastery of Python for prototyping and experience in C++ for deployment on robotic hardware.
  • Strong proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Experience optimizing ML models for real-time performance on robotic hardware.
  • Strong experience with simulation platforms (e.g., MuJoCo, Isaac Sim) and sim-to-real transfer.
  • Understanding of robot kinematics, dynamics, sensing, and control.

Preferred Experience
  • Familiarity with build tools and version control systems.
  • Exposure to agile development processes, CI/CD, and issue tracking tools.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
#LI-Hybrid #JNJDataScience #JNJMedTech-DS
Required Skills:
Machine Learning Algorithms, Python (Programming Language), Robotics
Preferred Skills:
Critical Thinking, Dev-C++, Industry Analysis, Innovation, Problem Solving, Process Improvements, Prototyping, Research and Development, Robotic Automation, Robotic Control Software, Vision-Language-Action Models (VLAs) for Robots
The anticipated base pay range for this position is :
The anticipated base range for this position is $125,000 to $201,250 USD
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits