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Machine Learning Contract Jobs in California (NOW HIRING)

Motorola

Machine Learning Engineer

Los Angeles, CA

$150K - $180K/yr

You will join the Signals and Systems group where you will be developing machine learning solutions ... required by government contract. Travel RequirementsNone Relocation ProvidedNone Position ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

... contract lifecycle management (CLM). What you'll do As a Machine Learning Engineer on the AI ... Platform team, you will design and build the foundational infrastructure that powers Docusign ...

Docusign

Machine Learning Engineer

San Francisco, CA · On-site

$164K - $266K/yr

... contract lifecycle management (CLM). What you'll do As a Machine Learning Engineer on the AI ... Platform team, you will design and build the foundational infrastructure that powers Docusign ...

Teklead Corp

Sr Machine Learning Engineer

Agoura Hills, CA · On-site

$67 - $80/hr

Westlake Village, CA (Onsite, NO REMOTE) Excellent contract-to-hire job opportunity Looking for a ... Description: ● Work on state of the art Machine Learning, Natural Language Processing and Gen AI ...

Teklead Corp

Sr Machine Learning Engineer

Agoura Hills, CA · On-site

$67 - $80/hr

Westlake Village, CA (Onsite, NO REMOTE) Excellent contract-to-hire job opportunity Looking for a ... Description: ● Work on state of the art Machine Learning, Natural Language Processing and Gen AI ...

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All JobsMachine Learning Contract JobsMachine Learning Contract Jobs in California

Machine Learning Contract information

See California salary details

$13

$22

$30

How much do machine learning contract jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for machine learning contract 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 Contract job?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

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

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a Machine Learning Contract position?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the most commonly searched types of Machine Learning jobs in California? The most popular types of Machine Learning jobs in California are:
What are popular job titles related to Machine Learning Contract jobs in California? For Machine Learning Contract jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract jobs in California look for? The top searched job categories for Machine Learning Contract jobs in California are:
What cities in California are hiring for Machine Learning Contract jobs? Cities in California with the most Machine Learning Contract job openings:
Machine Learning Contract jobs near you
Infographic showing various Machine Learning Contract job openings in California as of July 2026, with employment types broken down into 17% Full Time, 17% Part Time, 17% Temporary, and 49% Contract. Highlights an 100% In-person job distribution, with an average salary of $46,846 per year, or $22.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

Motorola Solutions

Los Angeles, CA • On-site

Full-time

Posted 11 days ago

Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

19th of 155 rated electronics manufacturers

Job description

Job Summary:
Motorola Solutions is a global community focused on keeping people safer. They are seeking a Machine Learning Engineer to develop solutions that enhance performance in wireless communication systems, impacting products and services that utilize signal processing technology.
Responsibilities:
• Manage inputs gathered from unusual sources, including captures from software defined radio (SDR) over a wide range of RF signals
• Combine knowledge of signal processing, probability and statistics, machine learning, and modern methods of artificial intelligence to build large-scale and high-throughput systems handling vast quantities of data
• Collaborate with UX designers, infrastructure engineers, and other research scientists to develop prototypes and integrate ML algorithms that work across a wide range of scales from resource-constrained edge compute to full-sized data centers
• Stay current with the latest machine learning research for wireless and embedded systems, applying ingenuity and a deep understanding of the problems at hand
Qualifications:
Required:
• 4+ years experience as a machine learning engineer
• Expert knowledge in Python and an ML framework such as PyTorch or TensorFlow
• Strong foundation in supervised and unsupervised learning and statistical modeling
• Strong mathematics background, particularly in linear algebra and probability
• Strong written and oral communication skills
• Bachelor degree with 4+ years experience as a machine learning engineer
• AND 2+ years of Python and PyTorch or TensorFlow experience
• Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract.
Preferred:
• Advanced degree in a quantitative field such as electrical and computer engineering, physics, mathematics or statistics
• Familiarity with relational and NoSQL databases
• Familiarity with RF signal processing and SDR for signals intelligence or electronic warfare
• Familiarity with cloud-based infrastructure: Azure and/or AWS
• Experience tracking projects with Jira, Azure DevOps or similar tooling
• Experience with Linux, DevOps (command line)
• Experience with containerized infrastructure (Docker, Kubernetes)
• Familiarity with regulated environments, such as sovereign clouds
Company:
Motorola Solutions creates mission-critical communication solutions and services for public safety and commercial customers. Founded in 1928, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Motorola Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928

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