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Ibm Machine Learning Jobs in California (NOW HIRING)

Jobsbridge

Sr. Big Data Architect

Sunnyvale, CA

$79 - $105.75/hr

... Machine Learning, etc. Understanding of HDFS, Pig, Hive, Mahout, Hbase, etc. - no development experience needed Knowledge of Big Data landscape and vendors - IBM,Oracle, Teradata, etc. Experience in ...

Forward Networks

Data Scientist

Santa Clara, CA · On-site

$170K - $190K/yr

Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as ... Develop and deploy statistical models and machine learning, where appropriate * Build clear ...

Forward Networks

Data Scientist

Santa Clara, CA · On-site +1

$170K - $190K/yr

Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as ... Develop and deploy statistical models and machine learning, where appropriate * Build clear ...

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 ...

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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 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:
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
IBM Watson Search Developer

IBM Watson Search Developer

Tanisha Systems

Pleasanton, CA

Other

Posted yesterday

Job description

Company Description

Tanisha systems Inc

Job Description

Extensive knowledge IBM Watson Explorer or equivalent platform
- Extensive experience in XML and XSLT
- Strong SQL experience with Oracle databases
- Candidate should posses strong analytical skills and be able to abstract information from existing code
- Excellent written and verbal communication skills
- Ability to work and understand a complex application environment
- Ability to work independently as well as with team members across various time zones
- Ability to evaluate large data sets and find actionable data to drive new projects
- Understanding of NLP and how to create machine learning algorithms is a plus
- PHP experience is a plus
- Experience with Ansible DevOps tool set is a plus
- Experience in performance tuning web applications
- Expertise with architecting applications based on business requirements
- Understanding of Linux and command line skills
- Self-motivated and able to perform with minimal supervision.
- Good understanding of Software Development Lifecycle phases including system analysis, design, coding, testing, debugging and documentation.

Additional Information

Thanks and Regards

Vishnu Saraf

Tanisha Systems Inc.

Phone: 212-729-6543 Ext- 361


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