ZipRecruiter

Log In

1

Freelance Full Stack Machine Learning Engineer Jobs in California

SynergisticIT

Machine Learning Engineer

Fremont, CA

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

SynergisticIT

]Machine Learning Engineer

Antioch, CA

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

AIcadium

Full Stack Engineer (AI)

San Diego, CA

Full Stack Engineer (AI) Location: San Diego Office / Hybrid Type: Full-Time Team: Engineering The ... Team Join a growing team of data scientists, machine learning, and software engineers in an agile ...

AIcadium

Full Stack Engineer (AI)

San Diego, CA · On-site

Salary: $105k - $120k Annual Full Stack Engineer (AI) Location: San Diego Office / Hybrid Type ... Team Join a growing team of data scientists, machine learning, and software engineers in an agile ...

LeanData

Machine Learning Engineer

Santa Clara, CA

Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue. We are looking for a curious and innovative Machine Learning Engineer to ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director ... stack. * Collaborate with cross-functional teams to define ML use cases and evaluate the impact of ...

AIcadium

Full Stack Engineer (AI)

San Diego, CA · On-site

$105K - $120K/yr

Full Stack Engineer (AI) Location: San Diego Office / Hybrid Type: Full-Time Team: Engineering The ... Team Join a growing team of data scientists, machine learning, and software engineers in an agile ...

Aicadium

Full Stack Engineer (AI)

San Diego, CA

Full Stack Engineer (AI) Location: San Diego Office / Hybrid Type: Full-Time Team: Engineering The ... Team Join a growing team of data scientists, machine learning, and software engineers in an agile ...

Skild AI

Machine Learning Engineer

San Mateo, CA

$100K - $300K/yr

Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... the machine learning stack, and who move fast and take ownership of their projects. Our ideal ...

General Atomics

Machine Learning Engineer III

Poway, CA · On-site

$116K - $208K/yr

... the team's autonomy stack. * Maintains the strict confidentiality of sensitive information ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

$122K - $184K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

next page

Showing results 1-20

All JobsFull Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer Jobs in California

Freelance Full Stack Machine Learning Engineer information

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in California? The most popular types of Full Stack Machine Learning Engineer jobs in California are:
What are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in California? For Freelance Full Stack Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in California look for? The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in California are:
What cities in California are hiring for Freelance Full Stack Machine Learning Engineer jobs? Cities in California with the most Freelance Full Stack Machine Learning Engineer job openings:
Freelance Full Stack Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Motorola Solutions, Inc.

Los Angeles, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

11th of 139 rated electronics manufacturers

Job description

Company Overview
At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Department Overview
Silvus Technologies, a leading provider of advanced MANET and MIMO communications systems, is reshaping mesh network technology for mission-critical applications - on the ground, in the air and at sea. Its battle-proven StreamCaster family of MANET radios and proprietary MN-MIMO waveform provides the vital communications link for defense, law enforcement and public safety agencies around the world, and in the toughest operational environments.
With deep roots in DARPA research, Silvus Technologies develops world-class advanced communications technologies that are reshaping the tactical communications landscape. From pure line-of-sight to extreme non-line-of-sight, Silvus radios form a self-healing, self-forming mesh network, enabling secure and reliable connectivity, including video and high-bandwidth data.
Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.
Job Description
Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of "Keeping Our Heroes Connected"?
THE OPPORTUNITY
Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus' advanced MIMO radios and wireless networking systems. This individual will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.
This position is based at Silvus Technologies' headquarters in the heart of vibrant West Los Angeles, CA, and is on a hybrid schedule. A minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.
The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.
ROLE AND RESPONSIBILITIES
  • Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).
  • Analyze real-world radio frequency datasets to extract insights and develop predictive models.
  • Develop software prototypes and integrate ML algorithms with Silvus' radio firmware and networking stack.
  • Collaborate with cross-functional teams to define machine learning use cases and evaluate the impact of deployed models.
  • Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.
  • Participate in performance benchmarking and iterative improvement cycles.
  • Stay current with the latest Machine Learning research for wireless and embedded systems.
  • Perform other related duties of which the above are representative.

REQUIRED QUALIFICATIONS
  • M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
  • Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD.
  • Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.
  • Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
  • Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).
  • Proficiency in MATLAB or C/C++ for signal processing algorithm development.
  • Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 15 months of hire.
  • Must be a U.S. Citizen due to clients under U.S. government contracts.
  • All employment is contingent upon the successful clearance of a background check and drug test.

PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES
  • Demonstrated experience with radio frequency signal classification, anomaly detection, or spectrum monitoring.
  • Familiarity with embedded machine learning, real-time systems, or deploying machine learning on edge devices.
  • Background in adaptive modulation, beamforming, or cognitive radio techniques.
  • Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.
  • Experience with GPU acceleration or model optimization for constrained environments.
  • Excellent communication and collaboration skills.

WORKING CONDITIONS AND PHYSICAL REQUIREMENTS
  • Office environment.
  • Outdoor environment for demos.
  • Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.
  • While performing the duties of this job, the employee is required to do the following:

- Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.
- Perform bending and reaching movements to place items on lower and higher shelves.
COMPENSATION: $120,000 - $160,000 / annually
The pay range is NOT a guarantee. It is based on market research and peer data and will vary depending on the candidate's experience and qualifications.
NOTE - As a US Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen). Stricter U.S. Citizen ONLY requirements (needed for some Engineering or R&D roles) will be included in the Required Qualifications section of the posted position. This does NOT apply to international positions; only job postings for positions located in the US.
All employment is contingent upon the successful clearance of a background check and drug test.
Basic Requirements
  • M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
  • Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD.
  • Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.
  • Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
  • Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).
  • Proficiency in MATLAB or C/C++ for signal processing algorithm development.
  • Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 15 months of hire.
  • Must be a U.S. Citizen due to clients under U.S. government contracts.

Travel Requirements
Under 10%
Relocation Provided
Domestic
Position Type
Experienced
Referral Payment Plan
Yes
Our U.S. Benefits include:
  • Incentive Bonus Plans
  • Medical, Dental, Vision benefits
  • 401K with Company Match
  • 10 Paid Holidays
  • Generous Paid Time Off Packages
  • Employee Stock Purchase Plan
  • Paid Parental & Family Leave
  • and more!

EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.
We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

What Motorola Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Motorola Solutions logo

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

View All Motorola Solutions Jobs

Apply