ZipRecruiter

Log In

1

Machine Learning Testing Jobs in California (NOW HIRING)

ICW Group

Machine Learning Engineer

San Diego, CA · On-site

Strong knowledge and experience with containers, software design patterns, unit testing, CI/CD ... and machine learning algorithms, NLP, forecasting, recommender systems, reinforcement learning ...

ICW Group

Machine Learning Engineer

San Diego, CA · Hybrid

Strong knowledge and experience with containers, software design patterns, unit testing, CI/CD ... and machine learning algorithms, NLP, forecasting, recommender systems, reinforcement learning ...

Icwgroup

Machine Learning Engineer

San Diego, CA · Hybrid

Strong knowledge and experience with containers, software design patterns, unit testing, CI/CD ... and machine learning algorithms, NLP, forecasting, recommender systems, reinforcement learning ...

Ema

Software Engineer, Machine Learning

San Francisco, CA · On-site

$135K - $200K/yr

You love utilizing machine learning techniques to push the boundaries of what is possible within ... Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure ...

Ema

Software Engineer, Machine Learning

Bodega Bay, CA · On-site

$135K - $200K/yr

You love utilizing machine learning techniques to push the boundaries of what is possible within ... Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure ...

Roku

Senior Machine Learning Engineer

San Jose, CA · On-site

$148.75K - $361K/yr

... testing. You will also work on building out a SOTA machine learning platform. We're looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of ...

Apple

Machine Learning Engineer - LLM

Cupertino, CA

$181.10K - $272.10K/yr

Machine Learning Engineer - LLM Imagine what you could do here. At Apple, new ideas have a way of ... Experience applying ML techniques in manufacturing, testing, or hardware optimization.

next page

Showing results 1-20

People also search for

All JobsMachine Learning Testing JobsMachine Learning Testing Jobs in California

Machine Learning Testing information

See California salary details

$13

$22

$30

How much do machine learning testing jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for machine learning testing in California is $22.52, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $25.14 per hour, depending on experience, location, and employer.

What is a Machine Learning Testing job?

A Machine Learning Testing job involves evaluating and validating machine learning models to ensure they function correctly, efficiently, and ethically. This includes testing for accuracy, reliability, bias, and performance under different conditions. Professionals in this role employ techniques such as unit testing, integration testing, data validation, and model performance monitoring. They also work closely with data scientists and engineers to debug issues and improve model robustness. The goal is to ensure that machine learning systems perform as expected and meet business or regulatory requirements.

What are the key skills and qualifications needed to thrive in the Machine Learning Testing position, and why are they important?

To excel in Machine Learning Testing, you need a solid understanding of machine learning concepts, data analysis, and programming skills in languages like Python, as well as a background in quality assurance or software testing. Familiarity with frameworks such as TensorFlow, PyTorch, automated testing tools, and relevant certifications like ISTQB are highly beneficial. Strong attention to detail, analytical thinking, and effective communication skills help testers identify issues and collaborate with data scientists and developers. These competencies are essential to ensure the reliability, fairness, and accuracy of machine learning models deployed in production environments.

What are the typical challenges faced by professionals in Machine Learning Testing roles?

Professionals in Machine Learning Testing often encounter challenges such as dealing with non-deterministic model outputs, insufficient or imbalanced datasets, and unclear or evolving testing criteria. They may need to work closely with data scientists and engineers to develop robust test cases and validation methods tailored for dynamic machine learning systems. Staying updated on advancements in testing methodologies and tools is also important, as the field evolves rapidly. Successfully overcoming these challenges leads to higher quality models and more reliable AI solutions for end users.
More about Machine Learning Testing jobs
What are the most commonly searched types of Machine Learning Testing jobs in California? The most popular types of Machine Learning Testing jobs in California are:
What are popular job titles related to Machine Learning Testing jobs in California? For Machine Learning Testing jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Testing jobs in California look for? The top searched job categories for Machine Learning Testing jobs in California are:
Machine Learning Testing jobs near you
Infographic showing various Machine Learning Testing job openings in California as of May 2026, with employment types broken down into 2% As Needed, 75% Full Time, 18% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $46,846 per year, or $22.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

ICW Group

San Diego, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Are you looking to make an impactful difference in your work, yourself, and your community? Why settle for just a job when you can land a career? At ICW Group, we are hiring team members who are ready to use their skills, curiosity, and drive to be part of our journey as we strive to transform the insurance carrier space. We're proud to be in business for over 50 years, and its change agents like yourself that will help us continue to deliver our mission to create the best insurance experience possible.
Headquartered in San Diego with regional offices located throughout the United States, ICW Group has been named for ten consecutive years as a Top 50 performing P&C organization offering the stability of a large, profitable and growing company combined with a focus on all things people. It's our team members who make us an employer of choice and the vibrant company we are today. We strive to make both our internal and external communities better everyday! Learn more about why you want to be here!
PURPOSE OF THE JOB
The Machine Learning Engineer (MLE) selected for this role at ICW Group will build and deploy high-performing machine learning models across the enterprise. As an MLE on the rapidly growing Enterprise Analytics team, you will have the opportunity to shape the processes through which we build, deploy, and monitor models. This impactful role will put analytic applications into production that drive revenue growth, reduce expenses, and enhance the customer experience.
The insurance industry is full of complexity and is data-rich. You will collaborate closely with business partners across the enterprise in Underwriting, Claims, Finance, Actuarial, HR, Legal, and Technology to help us realize value from our extensive data resources.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Build agentic and GenAI solutions to expand the use of AI throughout the organization.
  • Collaborate with data scientists to make ML models production-ready and move them from the lab into live production environments.
  • Help design and maintain engineering and model delivery standards.
  • Create demos as well as full-featured applications.
  • Put effective model monitoring and guardrails in place.
  • Determine suitable AI techniques to solve stakeholder business problems.
  • Collaborate effectively with data engineering and MLOps teams and recommend development patterns and process improvements.
  • Ensure that internal and external data pipelines are constructed to support sophisticated data models and products.
  • Work closely with IT Security and Data Governance to ensure that analytics practices meet data security, privacy, and quality policies.
  • Contribute to the development of internal policies and ensure the Enterprise Analytics team is compliant with applicable regulations.
  • Be willing to be in-office 3+ days per week at our sunny San Diego HQ.
  • Have an interest in joining a company with a history of philanthropy and giving back, stability with over 50 years in business, flexibility with mindfulness of work-life balance, and a commitment to helping and investing in colleagues so they may become the best version of themselves.

SUPERVISORY RESPONSIBILITIES
This role does not have supervisory responsibilities.
EDUCATION AND EXPERIENCE
Bachelor's degree from a four-year college or university required, with a major in Computer Science, Electrical Engineering, or a related field, and a minimum of 3-6 years of industry experience in MLE roles; or an MS, MEng, or PhD in a related field with a minimum of 1-2 years of industry experience working as an MLE or in a closely related role.
CERTIFICATES, LICENSES, REGISTRATIONS
None required.
KNOWLEDGE AND SKILLS
  • A track record of putting ML models into production and deploying models at scale.
  • Extensive cloud computing experience using AWS.
  • Proficiency with databases and database methodologies, especially Snowflake.
  • Strong knowledge and experience with containers, software design patterns, unit testing, CI/CD, microservices, creating REST APIs, and agile methodologies.
  • Knowledge of and experience with LLMs and generative AI, as well as some of the following: statistical and machine learning algorithms, NLP, forecasting, recommender systems, reinforcement learning, deep learning, and optimization.
  • Experience with Python, PyTorch, and Linux.

PHYSICAL REQUIREMENTS
Office environment - no specific or unusual physical or environmental demands. Employees are regularly required to sit, walk, stand, talk, and hear.
WORK ENVIRONMENT
This position operates in an office environment and requires frequent use of a computer, telephone, copier, and other standard office equipment.
This description is a general statement of essential job functions and responsibilities. The position may include other duties as assigned.
Relocation offered.
We are currently not offering employment sponsorship for this opportunity.
#LI-TP1 #LI-HYBRID
The current range for this position is
$105,780.03 - $189,347.93
This range is exclusive of fringe benefits and potential bonuses. If hired at ICW Group, your final base salary compensation will be determined by factors unique to each candidate, including experience, education and the location of the role and considers employees performing substantially similar work.
WHY JOIN ICW GROUP?
  • Challenging work and the ability to make a difference
  • You will have a voice and feel a sense of belonging
  • We offer a competitive benefits package, with generous medical, dental, and vision plans as well as 401K retirement plans and company match
  • Bonus potential for all positions
  • Paid Time Off
  • Paid holidays throughout the calendar year
  • Want to continue learning? We'll support you 100%

ICW Group is committed to creating a diverse environment and is proud to be an Equal Opportunity Employer. ICW Group will not discriminate against an applicant or employee on the basis of race, color, religion, national origin, ancestry, sex/gender, age, physical or mental disability, military or veteran status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other characteristic protected by applicable federal, state or local law.
Job Category
Analytics

Apply