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Machine Learning Engineer Jobs in Goleta, CA (NOW HIRING)

Toyon

Algorithm Developer

Goleta, CA

$120K - $200K/yr

We are looking for algorithm and software developers with experience and/or an educational background in: signal processing, machine learning, estimation theory, computer vision, computational ...

Toyon Research Corporation

Algorithm Developer

Goleta, CA · On-site

$120K - $200K/yr

We are looking for algorithm and software developers with experience and/or an educational background in: signal processing, machine learning, estimation theory, computer vision, computational ...

Umbra

Senior Radar Systems Engineer

Santa Barbara, CA · On-site

$116K - $159K/yr

Proven experience in machine learning. * 10+ years experience with Python's scientific stack: Numpy, Scipy, and Numba. * Excited to share knowledge and experience across the engineering team.

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Goleta, CA

Machine Learning Engineer information

See Goleta, CA salary details

$34K

$138.9K

$208.8K

How much do machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning engineer in Goleta, CA is $138,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $167,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

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

The top searched job categories for Machine Learning Engineer jobs in Goleta, CA are:

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Goleta, CA as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution, with an average salary of $138,937 per year, or $66.8 per hour.

Senior Principal Embedded Software Engineer

Prattwhitney

Goleta, CA • On-site

$145.60 - $276.80/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Job description

Job Description

Senior Principal Software Engineer – Software Department, Goleta, Santa Barbara County, CA. Onsite role, U.S. citizenship and Secret security clearance required. The position supports Electronic Warfare (EW) programs.


Responsibilities

  • Software design, development, integration and test utilizing C/C++ and Ada.

  • Software algorithm development for embedded systems.

  • Embedded microprocessor, SOC, FPGA, high‑speed transceiver, DDR and flash memory integration.

  • Software architecture and system/software requirements analysis.

  • Implementation, verification testing, system integration, and post‑delivery maintenance.

  • Project leadership and technical guidance.


Qualifications – Must Have

  • Bachelor’s in Science, Technology, Engineering or Mathematics (STEM) with at least 10 years of relevant experience.

  • Experience in software design, development, integration and test utilizing C / C++ and Ada.

  • Experience with embedded microprocessors, system on a chip software design, FPGAs, high‑speed transceivers, DDR, flash memories, block diagrams, signal analyses and signal generation.

  • Experience as technical / project lead.

  • Ability to obtain and maintain a Secret U.S. government issued security clearance.

  • U.S. citizenship.


Qualifications – Preferred

  • Lab experience in product testing using logic analyzers, high‑speed oscilloscopes, signal generators, and system on chip debugging tools.

  • Experience developing real‑time applications on embedded platforms (bare metal, embedded Linux, Windows).

  • Experience tailoring Linux images for embedded devices.

  • Knowledge of Electronic Warfare, Electronic Attack/Electronic Support (EA/ES), Radar, or Secure Communications technology.

  • Tool familiarity: Visual Studio, Vitis, Git, Jira, Collaborator.

  • Experience with interfaces and bus standards such as PCIe, VPX, Gb Ethernet, RoCE, and OMS.

  • Experience in software lifecycle phases: architecture, requirements analysis, design, implementation, verification testing, system integration, and maintenance.

  • Experience with Radar technology and machine languages.

  • Experience in Agile development processes.

  • Experience with machine learning.


Benefits

  • Salary range: 145,600 USD – 276,800 USD.

  • Health, dental, vision, life insurance, short‑term and long‑term disability.

  • 401(k) match and flexible spending accounts.

  • Flexible work schedules, employee assistance program, employee scholar program, parental leave, paid time off, holidays.

  • Annual short‑term and/or long‑term incentive compensation programs (performance based).

  • Relocation assistance available.


Equal Opportunity Employment

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status.

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