1

Machine Learning Jobs in Carlsbad, CA (NOW HIRING)

Senior Machine Learning Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250,000 / yr + stock options, 401k matching, and other benefits Role Overview: Seasats' vehicles operate ...

Senior Machine Learning Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250,000 / yr + stock options, 401k matching, and other benefits Role Overview: Seasats' vehicles operate ...

Senior Machine Learning Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250,000 / yr + stock options, 401k matching, and other benefits Role Overview: Seasats' vehicles operate ...

Senior Machine Learning Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250,000 / yr + stock options, 401k matching, and other benefits Role Overview: Seasats' vehicles operate ...

Industry experience with a proven success record in analytic software, data engineering, or machine learning; experience working with cloud-based and distributed architectures, large real-world ...

Showing results 41-60

Machine Learning information

See Carlsbad, CA salary details

$26.5K

$44.2K

$91.3K

How much do machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning in Carlsbad, CA is $44,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,700.00 and $47,700.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Carlsbad, CA?

The most popular types of Machine Learning jobs in Carlsbad, CA are:

What cities near Carlsbad, CA are hiring for Machine Learning jobs?

Cities near Carlsbad, CA with the most Machine Learning job openings:

Infographic showing various Machine Learning job openings in Carlsbad, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,174 per year, or $21.2 per hour.

Senior Machine Learning Engineer

Seasats

San Diego, CA • On-site

$180 - $250/hr

Other

Medical, Retirement, PTO

Posted 21 days ago


Job description

Senior Machine Learning Engineer Location: San Diego, CA (in-office) Salary Range: $180,000 - $250,000 / yr + stock options, 401k matching, and other benefits Role Overview:

Seasats' vehicles operate in highly remote and often communications-limited environments. To complete persistent missions at scale, the vehicles must be able to perceive and reason about the world around them without humans in the loop. Seasats has built a reliable and increasingly intelligent autonomy stack incorporating onboard sensors and processing, and machine learning is becoming central to how it evolves.

In this role, you'll own the development, training, and edge deployment of the perception models at the heart of that stack. You'll take models from experiment to production: curating fleet data, training and distilling models, optimizing them for embedded hardware, and validating them against real-world maritime conditions. Your work will directly determine how safely and intelligently our vessels navigate dynamic ocean environments.

Role Details:

As a senior member of the team, you'll help set the technical direction for onboard ML at Seasats and raise the bar for how models are built, evaluated, and shipped across the company. You'll work independently on experiments while collaborating closely with the vehicle software team to integrate your work into the larger stack.

On a day‑by‑day basis, you will:

  • Help define and drive the ML roadmap for vehicle perception
  • Scope and run ML experiments with clearly measurable end states that would positively impact vehicle performance if successful
  • Train, fine‑tune, and optimize models sized for compute‑limited edge hardware, and validate real‑time performance on target hardware
  • Build and maintain the data pipeline: analyzing, organizing, and labeling datasets from our fleet to drive data‑driven development
  • Establish evaluation frameworks and metrics that give the team confidence in model behavior before it goes to sea

This is an excellent opportunity to do high impact work, see your models running live on vehicles at sea, and join a fun and hard‑working team on the cutting edge of ocean autonomy.

About You:
  • 7+ years in machine learning, including 5+ years solving perception problems in production systems
  • Deep computer vision background, including foundation models and training smaller custom models
  • Track record of shipping performant ML models to edge devices and hands‑on experience with model optimization for the edge (quantization, pruning, and inference runtimes such as TensorRT or ONNX Runtime)
  • Strong proficiency in Python, with expert‑level fluency in PyTorch and strong working knowledge of OpenCV
  • Experience with MLOps tooling for dataset versioning, experiment tracking, and model deployment
  • Experience working with real‑time sensor data (e.g., camera, radar, and IMU streams) and familiarity with classical perception techniques (e.g., filtering, tracking, sensor fusion
  • Demonstrated ability to scope projects independently, lead technical efforts, and mentor other engineers
  • Strong technical communication skills
  • A bias toward getting multiple projects to 80% rather than one project to "perfect", while taking great joy in seeing projects approach perfection over time

In addition, it's nice (though not essential) if you have experience working with:

  • Probabilistic algorithms for obstacle and target tracking, and change detection algorithms for a variety of data types
  • Real‑time multi‑modal sensor fusion across LiDAR, radar, camera, and IMU data
  • Maritime and/or acoustic data
  • Path‑planning and control algorithms
About Seasats:

At Seasats, we're passionate about delivering maritime robotics solutions to redefine the maritime industry. Our primary products are unmanned surface vehicles (USVs), designed to carry sensors at sea for months at a time. Our USVs provide persistent monitoring and data acquisition to defense, scientific, and commercial customers, and have autonomously crossed both the Pacific and Atlantic oceans. After thousands of years in which the only way to gather information from the ocean was to put people on a boat, these uncrewed vessels are transforming how humanity monitors and interacts with the ocean. Here, you'll find the space and opportunity to do your life's best work.

Along with your salary, you'll receive perks including:

  • Stock options
  • Competitive insurance (including a 99% employer‑covered Gold HMO plan or other options)
  • 401k matching up to 4% of salary
  • Four free lunches per week
  • An employee activity fund
  • A pet‑friendly office
  • Unlimited/Flex PTO
Hiring Notes:

Due to export control requirements applicable to this position, we are only able to consider U.S. persons, as defined by U.S. export control laws. This includes U.S. citizens, lawful permanent residents, and individuals granted asylee or refugee status.

We appreciate diverse perspectives and life experiences, and we're committed to building a team that reflects a wide range of backgrounds. Seasats provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination of any type based on race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, protected veteran status, or any other characteristic protected under federal, state, or local law.

#J-18808-Ljbffr