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

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.

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.

Teladoc

Software QA Engineer II, Automation

Goleta, CA · On-site

$80K - $100K/yr

Summary of Position We're looking for a highly motivated, solution-oriented Software QA Engineer ... Exposure to AI-enabled applications, machine learning products, or intelligent automation solutions ...

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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 Jun 24, 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.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 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 June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 87% Physical, 5% 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

Senior Principal Embedded Software Engineer

Raytheon

Goleta, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

3rd of 520 rated manufacturers

Job description

Date Posted:

2026-06-15

Country:

United States of America

Location:

US-CA-GOLETA-H03 ~ 6380 Hollister Ave ~ BLDG H03

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

The ability to obtain and maintain a U.S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Active and existing security clearance required after day 1

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

Software Department team in Goleta, Santa Barbara County, CA is seeking a highly motivated, experienced Senior Principal Software Engineer to be part of their team supporting Electronic Warfare (EW) programs.  

Qualifications You Must Have:

  • Typically requires a Bachelor’s in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience unless prohibited by local laws/regulations.

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

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

  • Experience as technical / project lead.

  • The ability to obtain and maintain a Secret U.S. government issued security clearance. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer:

  • 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, including bare metal (no-OS), embedded Linux, and Windows environments.

  • Experience tailoring Linux images for embedded devices.

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

  • 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: software architecture, system/software requirements analysis, design, implementation, verification testing, system integration, and post-delivery maintenance.

  • Experience with Radar technology, machine languages.

  • Experienced in Agile development processes.

  • Experience with machine learning.

What We Offer:

  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation.

Learn More & Apply Now!

Please consider the following role type definition as you apply for this role.

  • Relocation Eligible – Relocation assistance available

  • Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

  • This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA , an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm 

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 145,600 USD - 276,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

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, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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