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Machine Learning Engineer New Grad Jobs in Los Angeles, CA

Socket.dev

Machine Learning Engineer

Los Angeles, CA · On-site

$180 - $250/hr

Role Description Founding Data Scientist / Machine Learning Engineer We're looking for a highly ambitious Data Scientist to help build the predictive intelligence layer behind nowfluence. This is not ...

Liquid XR

Machine Learning Engineer

Los Angeles, CA · On-site +1

The Role We are seeking a Machine Learning Engineer to develop advanced models for extracting meaningful signals from multimodal time-series data. This role focuses on building robust, real-time ...

Liquid XR

Machine Learning Engineer

Los Angeles, CA · On-site

$120 - $180/hr

The Role We are seeking a Machine Learning Engineer to develop advanced models for extracting meaningful signals from multimodal time-series data. This role focuses on building robust, real-time ...

Phase2 Technology

Machine Learning Engineer

El Segundo, CA · On-site

$77.60 - $176/hr

... deliver new software capabilities to our customers with high velocity. Your skills and technical ... machine learning engineering, including developing and deploying models * Experience with ...

Capgroup

Machine Learning Engineer II

Los Angeles, CA · On-site

$105K - $143K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" As a Machine Learning ...

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Showing results 21-40

All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Los Angeles, CA

Machine Learning Engineer New Grad information

See Los Angeles, CA salary details

$33.9K

$138.8K

$208.5K

How much do machine learning engineer new grad jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning engineer new grad in Los Angeles, CA is $138,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $167,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Los Angeles, CA?

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

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

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

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

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

What cities near Los Angeles, CA are hiring for Machine Learning Engineer New Grad jobs?

Cities near Los Angeles, CA with the most Machine Learning Engineer New Grad job openings:

Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $138,750 per year, or $66.7 per hour.

Machine Learning Engineer

Motorola Solutions, Inc.

Los Angeles, CA • On-site

$150K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

18th of 161 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 is dedicated to one mission: connecting those who keep us safe. We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom and ever evolving Mobile-Networked MIMO waveform. Together, our radios and waveform provide vital communications for mission-critical applications in the harshest environments from underground tunnels to high-altitude balloons.
Silvus StreamCaster™ radios are being rapidly adopted by customers all over the world ranging from the U.S. and Allied Nations Departments of Defense to International, Federal, State, and Local Law Enforcement agencies, all the way to the Superbowl, Grammys, and industry-leading drone, robot, and unmanned systems manufacturers.
We're excited about the work we are doing in AI. Founded on our many years of experience and knowledge, we know the mission-critical needs of our customers are unique and different from the consumer technologies that leverage AI today.
Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.
Job Description
Would you like to join a talented group of people, doing challenging work, with the mission of "Keeping Our Heroes Connected"?
You will join the Signals and Systems group where you will be developing machine learning solutions that enhance performance in wireless communication systems. Your work will directly impact our customers in the form of products and services that make use of signal processing technology. Unlike similar roles in the industry, the result of your work has the potential to impact the entire lifecycle of the workflows impacting people's lives in moments that matter.
Roles and 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

Required Skills
  • 4+ years experience as a machine learning engineer
  • Expert knowledge in Python and an ML framework such as PyTorch or TensorFlow
  • Experience with RF signal processing and SDR for signals intelligence or electronic warfare
  • 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

Desired Skills
  • Advanced degree in a quantitative field such as electrical and computer engineering, physics, mathematics or statistics
  • Familiarity with relational and NoSQL databases
  • 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
Familiarity with regulated environments, such as sovereign clouds
Target Base Salary Range: $150,000 USD - $180,000 USD
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
As a part of the application process, we encourage you to include a link to code you've written.
Note: This role is 100% on-site in our Los Angeles office.
Basic Requirements
  • Bachelor degree with 4+ years experience as a machine learning engineer
  • AND 2+ years of Python and PyTorch or TensorFlow experience
  • AND 2+ years of experience with RF signal processing
  • Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract.

Travel Requirements
None
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
No
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

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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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