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Machine Learning Engineer New Grad Jobs in Bellflower, CA

Layup Parts

Machine Learning Engineer

Huntington Beach, CA · On-site

$120 - $185/hr

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... Develop models that generate or assist in generating new designs based on historical design data

Yum

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... reliability, and deliver new capabilities. * Contribute to engineering best practices ...

Layup Parts

Machine Learning Engineer

Huntington Beach, CA · On-site

$120K - $185K/yr

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... Develop models that generate or assist in generating new designs based on historical design data

Layup Parts

Machine Learning Engineer

Huntington Beach, CA · On-site

$120K - $185K/yr

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... Develop models that generate or assist in generating new designs based on historical design data

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in building deep learning solutions for computer vision problems * Proficient with at least one major ...

Turion Space

Machine Learning Engineer

Irvine, CA · On-site

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML/CV solution that are integral to Turion's Space Domain Awareness data products. You will work on ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in building deep learning solutions for computer vision problems * Proficient with at least one major ...

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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 18, 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 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.

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Machine Learning Engineer New Grad jobs near you

Machine Learning Engineer

Layup Parts

Huntington Beach, CA • On-site

$120 - $185/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

At Layup Parts, we're developing the technology that will build the future.

We're a manufacturing technology company replacing months of lead time with days, using proprietary software, automation, and advanced manufacturing systems built for speed. Our customers are inventing what's next, in aerospace, defense, robotics, and beyond. To keep up with them, manufacturing has to change. That's what we're building.

We're looking for a Machine Learning Engineer to train custom models using our internal data. This work spans design generation, cost estimation, evaluating the complexity and difficulty of a given design, and extracting structured data out of existing documentation. We're looking for someone who has trained custom models on large, parameter-rich datasets, ideally with a geometric or spatial component, and who is energized by problems in that space specifically.

What You'll Do
  • Train and iterate on custom ML models using Layup's internal manufacturing and design data
  • Build models that estimate cost and predict design complexity or manufacturing difficulty from part geometry
  • Develop models that generate or assist in generating new designs based on historical design data
  • Build pipelines to extract structured data (specs, dimensions, material callouts, etc.) from existing engineering documents and drawings
  • Evaluate and select modeling approaches suited to geometric, spatial, and other structured data, rather than text-based problems
  • Work closely with engineering and manufacturing teams to source, clean, and label internal datasets
  • Own model performance end-to-end, from data pipeline through training, evaluation, and deployment into internal tools
  • Continuously identify new opportunities where custom models could improve design, estimation, or manufacturing workflows
What We're Looking For
  • Experience training custom models beyond basic labeling or fine-tuning workflows
  • Experience with advanced object detection at minimum; data classification experience is a strong plus
  • Experience with geometry-based modeling is highly preferred
  • Experience working with large, parameter-rich datasets
  • Strongest fit is someone whose background is in structured, spatial, or geometric data problems rather than natural language or LLM-centric work
Bonus Points
  • Experience training geometry-specific models
  • CAD experience
  • Manufacturing experience

$120,000 - $185,000 a year

Final compensation is based on your experience, skills, and what you bring to the table.

  • Full Benefits Package: Medical, dental, and vision coverage, short- and long-term disability insurance, company-paid life insurance
  • Equity Option Grants
  • 401k plan
  • Paid Time Off: Unlimited PTO + 9 Federal Holidays

Equal Opportunity

Layup is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance.

ITAR Requirements

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green cardholder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

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