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Entry Level Machine Learning Engineer Jobs in Oceanside, CA

Qualcomm

Machine Learning R&D

San Diego, CA · On-site

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: About the Team: Qualcomm's Applied ML R&D for HW Design team develops ML/AI or algorithmic based design tools ...

Qualcomm

Machine Learning R&D

San Diego, CA · On-site

$140K - $211K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: About the Team: Qualcomm's Applied ML R&D for HW Design team develops ML/AI or algorithmic based design tools ...

Precise Systems

Senior Software Engineer

San Diego, CA · On-site

$130K - $171K/yr

  • Medical

  • Life

  • Retirement

Collaborate with machine learning engineers and domain experts to analyze data and integrate machine learning solutions into existing systems. * Collaborate with data engineers to monitor data ...

Precise Systems

Senior Software Engineer

San Diego, CA · On-site

$130K - $171K/yr

  • Medical

  • Life

  • Retirement

Collaborate with machine learning engineers and domain experts to analyze data and integrate machine learning solutions into existing systems. * Collaborate with data engineers to monitor data ...

Precise Systems

Senior Software Engineer

San Diego, CA

$124K - $164K/yr

  • Medical

  • Life

  • Retirement

Collaborate with machine learning engineers and domain experts to analyze data and integrate machine learning solutions into existing systems. * Collaborate with data engineers to monitor data ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Oceanside, CA

Entry Level Machine Learning Engineer information

See Oceanside, CA salary details

$31K

$71.8K

$122.1K

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 Oceanside, CA is $71,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $81,200.00 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 are popular job titles related to Entry Level Machine Learning Engineer jobs in Oceanside, CA?

For Entry Level Machine Learning Engineer jobs in Oceanside, CA, the most frequently searched job titles are:

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

Cities near Oceanside, 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 Oceanside, CA as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $71,757 per year, or $34.5 per hour.

Machine Learning Engineer / Applied Scientist, Prediction & Planning

Waymo

San Diego, CA • Hybrid

Full-time

Posted 13 days ago

Job description

The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.

You will:

  • Design, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction
  • Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business
  • Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning
  • Write high-quality, scalable, and thoroughly tested code to bring cutting-edge research into production
  • Partner with world-class researchers, engineers, and product managers to deliver safe and smooth planning behaviors, and publish findings at top-tier academic venues

You have:

  • PhD in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience
  • A proven track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA,  IROS, RSS, CoRL, ACL, or EMNLP)
  • Demonstrated impact on the broader ML community through influential research, widely adopted open-source projects, or significant industry contributions
  • Hands-on expertise with modern deep learning frameworks, for example JAX or PyTorch
  • Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities

We prefer:

  • Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models
  • Prior industry experience (e.g. internships) in applied ML research or software development
  • Domain expertise in solving motion planning, prediction, or related robotics problems
  • Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments

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