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Machine Learning Contract Jobs in Los Angeles, CA

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

$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 ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

$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 ...

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 ...

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 Los Angeles, CA

Machine Learning Contract information

See Los Angeles, CA salary details

$15

$24

$33

How much do machine learning contract jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for machine learning contract in Los Angeles, CA is $24.59, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $27.45 per hour, depending on experience, location, and employer.

What is a machine learning contract?

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 typical responsibilities and workflow for a machine learning contract?

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 key skills and qualifications needed to thrive in a machine learning contract, 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 most commonly searched types of Machine Learning jobs in Los Angeles, CA?

The most popular types of Machine Learning jobs in Los Angeles, CA are:

What are popular job titles related to Machine Learning Contract jobs in Los Angeles, CA?

For Machine Learning Contract jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Contract jobs in Los Angeles, CA look for?

The top searched job categories for Machine Learning Contract jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Machine Learning Contract jobs?

Cities near Los Angeles, CA with the most Machine Learning Contract job openings:

Machine Learning Contract jobs near you
Infographic showing various Machine Learning Contract job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $51,147 per year, or $24.6 per hour.

Machine Learning Engineer

Silvus Technologies

Los Angeles, CA • On-site

Full-time

Re-posted 7 days ago

Job description

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 RF 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 ML 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

  • Bachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or related field plus a minimum of 2 years of experience in machine learning, with demonstrated application to real-world problems; no experience required with an advance degree (MS or PhD)
  • Strong foundation in supervised and unsupervised learning and statistical modeling.
  • Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
  • Exposure to MATLAB or C/C++ for signal processing algorithm development.
  • 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

  • MS. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
  • Demonstrated experience with RF signal classification, anomaly detection, or spectrum monitoring.
  • Proficiency in MATLAB or C/C++ for signal processing algorithm development.
  • Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access).
  • Familiarity with embedded ML, real-time systems, or deploying ML 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.

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