ML Engineer
Aliso Viejo, CA · On-site
ML Engineer I JOB SUMMARY Under guidance from Senior ML Engineers, develop ML models that provides accurate results with controls to solve the business problem identified, using state of art ...
ML Engineer
Aliso Viejo, CA · On-site
ML Engineer I JOB SUMMARY Under guidance from Senior ML Engineers, develop ML models that provides accurate results with controls to solve the business problem identified, using state of art ...
ML Engineer
Manhattan Beach, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
Manhattan Beach, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
Palo Alto, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
Palo Alto, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
San Francisco, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
San Francisco, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
San Jose, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
San Jose, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
Sunnyvale, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
Sunnyvale, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
Cupertino, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
Cupertino, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
San Francisco, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
San Francisco, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
Santa Clara, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
Santa Clara, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
Mountain View, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
Mountain View, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
Menlo Park, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
Menlo Park, CA · On-site
They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to ...
ML Engineer
San Francisco, CA · On-site
$180K - $300K/yr
The role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system. We build models to extract 3D object and line features from dense LiDAR point clouds and imagery.
ML Engineer
San Francisco, CA · On-site
$180K - $300K/yr
The role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system. We build models to extract 3D object and line features from dense LiDAR point clouds and imagery.
AI/ML Engineer
Woodland Hills, CA · On-site
$140K - $165K/yr
The engineer will work with both structured and unstructured data, building pipelines for document extraction, parsing, and chunking, and integrating ML models with Vector Databases and MongoDB. An ...
AI/ML Engineer
Woodland Hills, CA · On-site
$140K - $165K/yr
The engineer will work with both structured and unstructured data, building pipelines for document extraction, parsing, and chunking, and integrating ML models with Vector Databases and MongoDB. An ...
ML Engineer
San Francisco, CA · On-site
They are seeking a strong ML Engineer to build agentic AI systems that reason about geometry and physics, develop generative models, and create systems for complex structured data. This role offers ...
ML Engineer
San Francisco, CA · On-site
They are seeking a strong ML Engineer to build agentic AI systems that reason about geometry and physics, develop generative models, and create systems for complex structured data. This role offers ...
ML Engineer
San Francisco, CA · On-site
$165K - $210K/yr
About the role As an ML Engineer at Sciforium, you will operate at the intersection of production software engineering and Core AI/ML to architect, scale, and optimize end-to-end multimodal GenAI ...
New
ML Engineer
San Francisco, CA · On-site
$165K - $210K/yr
About the role As an ML Engineer at Sciforium, you will operate at the intersection of production software engineering and Core AI/ML to architect, scale, and optimize end-to-end multimodal GenAI ...
New
ML Engineer
Palo Alto, CA · On-site
$138K - $225K/yr
About the role We're hiring a ML Engineer as one of the founding engineers on Intelligence Org. You'll work directly with the team's first engineers and manager to figure out what to build, how to ...
ML Engineer
Palo Alto, CA · On-site
$138K - $225K/yr
About the role We're hiring a ML Engineer as one of the founding engineers on Intelligence Org. You'll work directly with the team's first engineers and manager to figure out what to build, how to ...
AI/ML Engineer
Woodland Hills, CA · On-site
AI/ML Engineer Location: Woodland Hills, CA/ Mason, OH (Onsite) Key Responsibilities: * Architect and Design: Lead the design of scalable, secure, and high-performance AI/ML systems leveraging ...
New
AI/ML Engineer
Woodland Hills, CA · On-site
AI/ML Engineer Location: Woodland Hills, CA/ Mason, OH (Onsite) Key Responsibilities: * Architect and Design: Lead the design of scalable, secure, and high-performance AI/ML systems leveraging ...
New
ML Engineer
Los Angeles, CA · On-site
$132K - $165K/yr
You'll be the engineer who makes sure our ML systems - both traditional NLP and embedding models and our LLM-powered features - work reliably at scale (millions of records per day), are continuously ...
ML Engineer
Los Angeles, CA · On-site
$132K - $165K/yr
You'll be the engineer who makes sure our ML systems - both traditional NLP and embedding models and our LLM-powered features - work reliably at scale (millions of records per day), are continuously ...
AI/ML Engineer
Woodland Hills, CA · On-site
$70K - $75K/yr
Must Have Technical/Functional Skills AI/ML Engineer (GenAI, RAG & Data Engineering) We are seeking a highly motivated AI/ML Engineer with experience in designing, developing, and deploying ...
AI/ML Engineer
Woodland Hills, CA · On-site
$70K - $75K/yr
Must Have Technical/Functional Skills AI/ML Engineer (GenAI, RAG & Data Engineering) We are seeking a highly motivated AI/ML Engineer with experience in designing, developing, and deploying ...
AI/ML Engineer
San Francisco, CA · On-site
$110 - $150/hr
We are looking for an AI/ML Engineer who is growing strong technical depth in machine learning, experimentation, and analytical problem solving, with an interest in applying those skills to trust ...
AI/ML Engineer
San Francisco, CA · On-site
$110 - $150/hr
We are looking for an AI/ML Engineer who is growing strong technical depth in machine learning, experimentation, and analytical problem solving, with an interest in applying those skills to trust ...
Ml Engineer information
See California salary details
$32.6K - $42.3K
7% of jobs
$42.3K - $52.1K
2% of jobs
$52.1K - $61.9K
11% of jobs
$65K is the 25th percentile. Wages below this are outliers.
$61.9K - $71.7K
16% of jobs
$71.7K - $81.5K
14% of jobs
The median wage is $81.8K / yr.
$81.5K - $91.2K
14% of jobs
$91.2K - $101K
11% of jobs
$102.8K is the 75th percentile. Wages above this are outliers.
$101K - $110.8K
7% of jobs
$110.8K - $120.6K
12% of jobs
$120.6K - $130.4K
4% of jobs
$130.4K - $140.1K
3% of jobs
$32.6K
$88K
$140.1K
How much do ml engineer jobs pay per year?
As of Aug 22, 2026, the average yearly pay for ml engineer in California is $88,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $107,600.00 per year, depending on experience, location, and employer.
What is an ML engineer?
ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.
What are the key skills and qualifications needed to thrive as an ML engineer?
To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.
What are some common challenges ML engineers face when deploying models to production?
Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.
What is the difference between Ml Engineer vs Data Scientist?
| Aspect | ML Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworks | Bachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills |
| Work Environment | Develops, deploys, and maintains ML models in production systems | Analyzes data, builds models, and provides insights for decision-making |
| Employer & Industry Usage | Tech companies, startups, and enterprises deploying ML solutions | Research institutions, tech firms, and industries relying on data analysis |
While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.
Are machine learning engineers still in demand?
Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often work in environments that emphasize continuous learning and adaptation. The demand is expected to remain strong as organizations increasingly rely on machine learning solutions for competitive advantage.
What does a machine learning engineer do?
A machine learning engineer designs, develops, and deploys machine learning models to solve specific problems using large datasets. They work with programming languages like Python or Java, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and software engineers to integrate models into applications.
What are the most commonly searched types of Ml Engineer jobs in California?
The most popular types of Ml Engineer jobs in California are:
What are popular job titles related to Ml Engineer jobs in California?
For Ml Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Ml Engineer jobs in California look for?
The top searched job categories for Ml Engineer jobs in California are:
What cities in California are hiring for Ml Engineer jobs?
Cities in California with the most Ml Engineer job openings:
Job description
ML Engineer I
JOB SUMMARY
Under guidance from Senior ML Engineers, develop ML models that provides accurate results with controls to solve the business problem identified, using state of art techniques.
Key Responsibilities
1. Executes relevant data wrangling activities related to the problem in order to create dataset
2. Conduct ML experiments to understand the feasibility and build baseline models to solve the business problem
3. Fine tune the baseline model for optimum performance
4. Test Models internally per acceptance criteria from business
5. Document relevant Artefacts for communicating with the business
6. Work with data scientists to deploy the models.
7. Work with product teams in planning and execution of new product releases.
8. Set OKRs and success steps for self/ team and provide feedback to goals for team members
9. Work with cross functional teams - business, technology, and product teams to understand the product vision; building ML solutions that provides value to the product
JOB SUMMARY
Under guidance from Senior ML Engineers, develop ML models that provides accurate results with controls to solve the business problem identified, using state of art techniques.
Key Responsibilities
1. Executes relevant data wrangling activities related to the problem in order to create dataset
2. Conduct ML experiments to understand the feasibility and build baseline models to solve the business problem
3. Fine tune the baseline model for optimum performance
4. Test Models internally per acceptance criteria from business
5. Document relevant Artefacts for communicating with the business
6. Work with data scientists to deploy the models.
7. Work with product teams in planning and execution of new product releases.
8. Set OKRs and success steps for self/ team and provide feedback to goals for team members
9. Work with cross functional teams - business, technology, and product teams to understand the product vision; building ML solutions that provides value to the product
About Compunnel
Sourced by ZipRecruiter
Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.
Industry
It services
Company size
501 - 1,000 Employees
Headquarters location
Plainsboro, NJ, US
Year founded
1994