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Entry Level Machine Learning Engineer Jobs in Reseda, CA

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Entry Level Machine Learning Engineer information

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$32.2K

$74.6K

$126.8K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for entry level machine learning engineer in Reseda, CA is $74,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,400.00 and $84,400.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What job categories do people searching Entry Level Machine Learning Engineer jobs in Reseda, CA look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Reseda, CA are:

What cities near Reseda, CA are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Reseda, CA with the most Entry Level Machine Learning Engineer job openings:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Reseda, CA as of August 2026, with employment types broken down into 15% Internship, and 85% Full Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $74,552 per year, or $35.8 per hour.

Machine Learning Engineer, Distributed Data Systems - Robotics

OpenAI

Los Angeles, CA • On-site

$295 - $445/hr

Other

Posted 11 days ago

Job description

Machine Learning Engineer, Distributed Data Systems – Robotics

Location: San Francisco, CA. Hybrid work model of 3 days in office per week; relocation assistance offered.

About the Team

Our mission is to expand the capabilities of foundational models to support general‑purpose robotics in dynamic, real‑world environments, ensuring reliable and safe operation. These capabilities include action generation, motion planning, world modeling, and real‑time communication through voice and emotions.

We work across the entire robotics stack, integrating cutting‑edge hardware, sensors, end‑effectors, and models to explore a diverse range of robotic form factors. Our goal is to develop models that provide state‑of‑the‑art intelligence combined with seamless physical skills under the practical constraints of robotic platforms.

About the Role

As a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large‑scale multimodal training and evaluation at OpenAI. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI's rapid iteration cycles.

We’re looking for engineers who are detail‑oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high‑stakes environments.

In this role, you will:
  • Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, and machine learning infrastructure while ensuring scalability, reliability, and security.
  • Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient.
  • Partner with researchers to deeply understand requirements and translate them into production‑ready systems.
  • Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation.
You might thrive in this role if you:
  • Have strong experience with distributed systems and large‑scale infrastructure with a strong interest in data.
  • Are detail‑oriented and bring rigor to building and maintaining reliable systems.
  • Demonstrate excellent software engineering fundamentals and organizational skills.
  • Are comfortable with ambiguity and rapid change.
Compensation

$295K – $445K + Equity

Equal Opportunity Employer

OpenAI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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