1

Ibm Machine Learning Jobs in California (NOW HIRING)

Staff Storage Engineer

San Francisco, CA · On-site

$349K - $465K/yr

Vast, Weka, DDN, NetApp, PureStorage, Dell, IBM, HPE * File, Block, and Object storage types ... We have research papers accepted at top machine learning and graphics conferences, including ...

Senior Storage Engineer

San Francisco, CA · On-site

$296K - $395K/yr

Vast, Weka, DDN, NetApp, PureStorage, Dell, IBM, HPE * File, Block, and Object storage types ... We have research papers accepted at top machine learning and graphics conferences, including ...

Understand next generation messaging and streaming technologies such as Kafka, IBM MQ, Solace or ... machine learning, etc.) * Overall knowledge of the Software Development Life Cycle Preferred ...

New

Systems Engineer Level 3

Sunnyvale, CA · On-site

$114K - $171K/yr

... learning, and a culture of automation. What you'll get to do: * Perform integration, verification ... Experience with system engineering tools such as IBM Rational DOORS. * Familiarity with MBE/MBSE ...

New

next page

Showing results 1-20

Ibm Machine Learning information

See California salary details

$25.2K

$42K

$86.8K

How much do ibm machine learning jobs pay per year?

As of Jun 15, 2026, the average yearly pay for ibm machine learning in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

Is ML a high paying job?

Machine learning roles, including positions like IBM Machine Learning specialists, tend to offer high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and certifications but are generally above average compared to many other tech roles.

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

To excel as an IBM Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically supported by a relevant degree and experience with machine learning algorithms. Familiarity with IBM tools such as Watson Studio, SPSS Modeler, and cloud-based platforms, along with proficiency in Python or R, is essential. Strong problem-solving, communication, and collaboration skills help you translate business requirements into data-driven solutions. These competencies are crucial for effectively designing, deploying, and maintaining impactful machine learning models within IBM's ecosystem.

Is it hard to get hired by IBM?

Getting hired for an IBM Machine Learning role can be competitive, often requiring strong technical skills in areas like data analysis, programming, and machine learning frameworks. Candidates typically need relevant experience, a solid educational background, and may go through multiple interview stages including technical assessments.

What is an IBM Machine Learning Engineer?

An IBM Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models using IBM's suite of tools and platforms, such as IBM Watson, SPSS Modeler, and IBM Cloud. They work with large datasets to develop predictive models, automate decision-making processes, and solve complex business problems. These engineers collaborate with data scientists, software developers, and business stakeholders to implement AI solutions that drive innovation and efficiency within organizations.

How much does IBM machine learning pay?

Salaries for IBM machine learning roles typically range from $80,000 to $130,000 annually, depending on experience, location, and specific job responsibilities. Entry-level positions may start lower, while senior roles or specialized skills like deep learning can command higher compensation.

Which 3 jobs will survive AI?

For IBM Machine Learning roles, jobs that require complex problem-solving, creativity, and human judgment—such as data scientists, AI ethics specialists, and machine learning engineers—are likely to persist. These roles involve designing, interpreting, and overseeing AI systems, tasks that are less susceptible to automation and require advanced technical skills and domain expertise.

What types of projects and collaboration can I expect as an IBM Machine Learning specialist?

As an IBM Machine Learning specialist, you can expect to work on diverse projects ranging from developing predictive models to automating business processes with AI. You will frequently collaborate with data scientists, software engineers, and business analysts to translate complex data into actionable insights. The environment is typically agile and encourages cross-functional teamwork, where you'll participate in regular meetings, code reviews, and brainstorming sessions. These collaborations not only enhance project outcomes but also offer valuable opportunities for professional growth and knowledge sharing.

What is the difference between Ibm Machine Learning vs Data Scientist?

AspectIbm Machine LearningData Scientist
Required CredentialsCertifications in IBM AI/ML tools, programming skillsDegree in CS, statistics, or related field; often certifications in data analysis
Work EnvironmentFocus on developing and deploying ML models using IBM platformsData analysis, model building, and interpretation across various tools
Industry UsagePrimarily in organizations using IBM cloud and AI solutionsAcross industries, using diverse tools and programming languages

IBM Machine Learning specialists focus on deploying ML models within IBM ecosystems, while Data Scientists analyze data and build models using various tools. Both roles require programming skills, but Data Scientists often have broader analytical responsibilities. The choice depends on whether you prefer working within IBM platforms or a more general data analysis environment.

What are popular job titles related to Ibm Machine Learning jobs in California? For Ibm Machine Learning jobs in California, the most frequently searched job titles are:
Engineering Group Manager, AI/ML for Chassis Controls

Engineering Group Manager, AI/ML for Chassis Controls

General Motors

Mountain View, CA • On-site

$217K - $333K/yr

Full-time

Posted 23 days ago


General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 305 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers


Job description

Job Description

The Role:

Join GM'sVehicle Mechatronic Embedded Controls (VMEC)team within theSoftware and Servicesorganization, where we develop and release control software and calibrations that drive the entire vehicle. From internal combustion engines and hybrid drive units to high-voltage batteries and chassis systems, our mission is to invent cutting-edge methods to control the world's most advanced mechatronic systems.

We are seeking adynamic and experienced Engineering Group Managerto lead a team focused onArtificial Intelligence (AI)andMachine Learning (ML)solutions for vehicle motion control and estimation. In this role, you will oversee the design, implementation, and optimization of AI/ML-based systems, ensuring they meet performance, scalability, and reliability standards. You will also foster a collaborative, agile environment that empowers innovation and growth. This team works cross-functionally with embedded controls, systems, product, and program teams to deliver high-quality solutions that support GM's revenue-generating portfolio and accelerate our transition to an all-electric future. As a people leader, you will shape strategic initiatives that align with GM's transformation from an automaker to a tech-driven company.

Job Responsibilities:

  • Lead the development and deployment of AI/ML technologies for GM's vehicle motion control and estimation.
  • Collaborate with cross-functional teams, including control engineers, software developers, calibrators, and business stakeholders, to define project requirements and ensure successful execution.
  • Ensure the timely delivery of projects by monitoring progress, addressing roadblocks, and implementing agile methodologies improve speed, quality, and safety across development cycles.
  • Provide technical guidance and mentorship to engineers and foster a culture of continuous learning and professional growth.
  • Stay abreast of emerging technologies and trends in AI/ML, recommending innovative approaches to enhance our designs.
  • Define system architecture and design, incorporating best practices and industry standards to create robust and maintainable systems.
  • Communicate project status, risks, and opportunities to senior leadership.
  • Partner with other departments to promote AI/ML adoption across the organization.
  • Manage resource planning and team development.
  • Model and foster GM's Core Values and Winning Behaviors

Required Qualifications:

  • Bachelor of Science degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics or a related technical degree
  • Minimum of 7 years of professional engineering/technical experience
  • Minimum of 5 years of engineering experience related to AI/ML, control systems, embedded control system, and/or safety critical system development
  • Strong knowledge of AI/ML concepts, frameworks, and applications in software development.
  • Experience with common machine learning libraries and frameworks.
  • Familiarity with deep learning techniques, neural networks, and natural language processing.
  • Solid understanding of computer programming languages such as Python, Java, C++, etc.
  • Demonstrated technical background in chassis controls and/or vehicle dynamics
  • Proven track record of successful project execution
  • Excellent multi-functional communication and leadership skills - able to get multiple teams moving in the same direction
  • Demonstrated ability to deal with ambiguity while driving timely decision making
  • Possess a valid driver's license and the ability to operate test vehicles

Preferred Qualifications:

  • Master of Science in Engineering and/or Master of Business Administration
  • Master of Science in Electrical, Computer, Mechanical, Mechatronic, Aerospace, Systems or Software Engineering with emphasis in AI/ML, Controls or Robotics
  • Experience in chassis controls development
  • Leadership experience developing or applying industry standards
  • Experience with safety compliance of embedded systems
  • Leadership of teams of engineers responsible for developing or testing embedded control systems or related hardware in an agile environment
  • Demonstrated ability to: achieve results through effective teamwork, lead numerous projects with different focal areas to successful completion, and manage and measure work through metrics, data, and results
  • Experience managing a geographically dispersed global team
  • Familiarity with embedded controls development tools (e.g. IBM Rational Tool Suite, Jira/Jama, Git ecosystem, MATLAB-Simulink, ETAS)

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

The salary range for this role is $ $217,500.00 - 333,400.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908