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Ibm Machine Learning Jobs in California (NOW HIRING)

Space Force Analytics LLC

Digital Engineer

El Segundo, CA · On-site

$150 - $250/hr

... or IBM Rhapsody • Ability to perform multiple systems engineering and program management ... Machine Learning (SysML) and DoD Architecture Framework (DoDAF) • Ability to identify, analyze ...

Pear

Chief of Staff - NomadicML

San Francisco, CA · On-site

Our team has built mission-critical AI systems at Snowflake, Lyft, Microsoft, Amazon, and IBM ... Deep curiosity about AI, machine learning, or technical products -you're excited to learn how ...

Praxis, Inc.

Chief of Staff - NomadicML

San Francisco, CA · On-site

$120 - $190/hr

Our team has built mission-critical AI systems at Snowflake, Lyft, Microsoft, Amazon, and IBM ... Deep curiosity about AI, machine learning, or technical products --you're excited to learn how ...

Nomadic AI

Chief of Staff

San Francisco, CA · On-site

$150 - $210/hr

Our team has built mission‑critical AI systems at Snowflake, Lyft, Microsoft, Amazon, and IBM ... Deep curiosity about AI, machine learning, or technical products --you're excited to learn how ...

SwiftCruit

AI Security Architect

San Jose, CA · On-site

$164.50 - $305.50/hr

... Machine Learning (ML) security to design, implement, and govern secure AI systems across the ... Cloud, IBM Cloud; architect secure integrations with AI services and APIs * Model Security ...

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All JobsIbm Machine Learning JobsIbm Machine Learning Jobs in California

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 Aug 22, 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.

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.

What are the key skills and qualifications needed to thrive as an IBM Machine Learning engineer?

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.

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:

What job categories do people searching Ibm Machine Learning jobs in California look for?

The top searched job categories for Ibm Machine Learning jobs in California are:

Ibm Machine Learning jobs near you
Infographic showing various Ibm Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.

Digital Engineer

Space Force Analytics LLC

El Segundo, CA • On-site

$150 - $250/hr

Other

Medical, Life, Retirement, PTO

Posted 4 days ago

Job description

Do you have a Space Systems Engineering background? Are you looking for an opportunity to apply your technical skills to our nation’s Space Systems? If this sounds like you, come join Space Force Analytics (SFA) and a team of scientists, engineers, and space system acquisition experts that are developing the next generation of remote sensing satellite and ground systems.

You will work with SFA colleagues, other support contractors, and U.S. Space Force personnel to acquire and develop Missile Warning/Defense, Weather, and Nuclear Detection Systems. Your expertise and innovative thinking will be critical to the success of the programs that you support. Hybrid work from home and Los Angeles Air Force Base, with occasional travel to various contractor sites and U.S. Government installations.

In this role, you will apply your MBSE background to create and integrate digital models of space and ground systems.

You Have

• 5+ years of experience with large-scale missions and systems engineering and integration

• 3+ years of experience performing systems engineering analysis and developing systems engineering products for DoD or government systems

• 3+ years of experience with practical MBSE for the development of technical specifications, interface control documents, and system architecture, including using digital engineering tools such as Cameo or MagicDraw, SparxEA, DOORS, or IBM Rhapsody

• Ability to perform multiple systems engineering and program management functions in support of design reviews and requirements verification

• Ability to communicate and establish collaborative relationships with government clients, Federally Funded Research and Development Centers (FFRDC), and associate contractor teammates to achieve program goals

• Bachelor's degree in a Science, Technology, Engineering, or Mathematics field

Nice if You Have

• Experience with Model-Based Verification and Validation

• Experience with MATLAB, STK, ModelCenter, or TeamCenter

• Experience analyzing and translating system requirements into design

• Knowledge of Systems Machine Learning (SysML) and DoD Architecture Framework (DoDAF)

• Ability to identify, analyze, and resolve technical risks and issues, develop technical reports, and collaborate with government and other stakeholders to implement recommended solutions

• Master’s degree in Engineering

• OMG Certified Systems Model Professional (OCSMP) Certification

SFA offers a variety of ways for you to develop your career including tuition reimbursement, professional development, mentoring, employee engagement groups, and networking opportunities.

Salary and Benefits
  • $150K to $250K, depending on qualifications and experience
  • 401(k) with 10% company matching
  • Medical premiums 100% covered
  • Life Insurance
  • PTO includes holidays, sick days, and vacation
  • Flexible hybrid work from home and Los Angeles Air Force Base
  • Paid parental leave
  • Student loan repayment assistance
  • Signing bonus
  • Annual bonus and pay raise
  • Additional benefits for U.S. military veterans
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