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Machine Learning Engineer New Grad Jobs in Bellflower, CA

Hadrian Automation, Inc

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... new capabilities across welding, casting, forging, electronics, additive manufacturing, and more ... As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ...

Booz Allen Hamilton

Machine Learning Engineer

El Segundo, CA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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

Ascent Developer Solutions

Machine Learning Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

ROLE SUMMARY The Machine Learning Engineer is a major contributor in driving our company ... Identify new business opportunities through tracking competitor trends and keeping management aware ...

Phase2 Technology

Machine Learning Engineer

El Segundo, CA · On-site

$77.60 - $176/hr

  • Medical

  • Life

  • Retirement

  • PTO

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

Motorola Solutions

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python and PyTorch or TensorFlow experience Travel Requirements None Relocation Provided None Position Type ...

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$105K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, w ... Machine Learning Software Engineers who bridge the gap between research and production by ...

Capgroup

Machine Learning Engineer II

Los Angeles, CA · On-site

$105K - $143K/yr

  • Medical

  • Life

  • Retirement

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 ...

Prodege LLC

Staff Machine Learning Engineer

El Segundo, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

We're looking for a Staff Machine Learning Engineer who loves shipping production ML systems ... new customers, increase revenue, and drive brand loyalty & product adoption. Bolstered by a major ...

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Showing results 21-40

All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Bellflower, CA

Machine Learning Engineer New Grad information

See Bellflower, CA salary details

$32.9K

$134.6K

$202.2K

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

As of Aug 16, 2026, the average yearly pay for machine learning engineer new grad in Bellflower, CA is $134,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $162,000.00 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 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 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.

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Machine Learning Engineer New Grad jobs near you

Machine Learning Engineer

Silvus Technologies

Los Angeles, CA • On-site

Full-time

Re-posted 17 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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