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Machine Learning Jobs in Goleta, CA (NOW HIRING)

Senior Embedded Software Engineer

Goleta, CA · On-site

$133K - $175K/yr

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 ...

Evaluate new technologies related to infrared image processing including computer vision and machine learning. Job Qualifications : * Teledyne FLIR requires employees to be a US Persons (US Citizen ...

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.

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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Machine Learning information

See Goleta, CA salary details

$27.5K

$45.9K

$94.9K

How much do machine learning jobs pay per year?

As of Jun 24, 2026, the average yearly pay for machine learning in Goleta, CA is $45,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,100.00 and $49,600.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some 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 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 jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

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.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
What are popular job titles related to Machine Learning jobs in Goleta, CA? For Machine Learning jobs in Goleta, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Goleta, CA look for? The top searched job categories for Machine Learning jobs in Goleta, CA are:
What cities near Goleta, CA are hiring for Machine Learning jobs? Cities near Goleta, CA with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Goleta, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $45,946 per year, or $22.1 per hour.
Senior Embedded Software Engineer

Senior Embedded Software Engineer

Raytheon

Goleta, CA • On-site

$133K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


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:

2026-06-19

Country:

United States of America

Location:

US-CA-GOLETA-H01 ~ 6380 Hollister Ave ~ BLDG H01

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 Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world.

Raytheon is seeking a highly motivated, experienced Senior Software Engineer to be an active participant in the software development team for Electronic Warfare (EW) projects, working with cutting edge technologies in products that protect our warfighters.  

What You Will Do

  • Technical involvement and participation on collaborative, cross-disciplined integrated product teams, often employing agile system and software development operations to plan, specify, design, test, and integrate complex software and systems solutions.
  • Responsibilities include innovating creative implementations of new products and technologies, from architecture and design, through integration, lab test and field test.
  • Collaborating effectively with other disciplines and senior technical staff, in addition to producing planning and technical work products for internal customers to form original solutions to complex problems.
  • Developing software requirements and FPGA level interface requirements derived from system level requirements, developing associated architectures, performing simulations and analysis and testing of the software in a laboratory setting.
  • Work in an advanced product development team environment with systems, firmware, electrical and software engineers.  Think out-of-the box to root-cause issues and develop creative resolutions.
  • Handle fast pace and dynamic product development environment including engagement with Systems' and Electrical Engineers
  • This position will require occasional business-related travel.  

Qualifications You Must Have

  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience.
  • 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.
  • Experience in software design, integration and test utilizing C / C++.
  • Experience with embedded microprocessor design, system on a chip software design, FPGAs, high-speed transceivers, DDR, flash memories, block diagrams, signal analyses or signal generation.
  • Experience developing real-time applications on embedded platforms, including bare metal (no-OS), embedded Linux, or Windows environments.

Qualifications We Prefer

  • Existing Secret security clearance.
  • Electronic Warfare Electronic Attack/Electronic Support (EA/ES), Radar, or Secure Communications technology knowledge.
  • Experience with .NET C# using WPF and MVVM.
  • Tool familiarity: Visual Studio, Vitis, TortoiseSVN, Jenkins, Jira, Collaborator.
  • DevSecOps background including pipeline toolset use and creation.
  • Lab experience in product testing using logic analyzers, high-speed. oscilloscopes, signal generators, and system on chip debugging tools.
  • Experience with interfaces and bus standards such as: VME, PCI, PCIe, VPX, or Gb Ethernet.
  • 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.
  • Experience with software algorithm development.
  • 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, Innovation, and Safety.

Learn More & Apply Now!

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.

Welcome to Raytheon in Goleta, CA

Clearance Information: This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), 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 

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

This requisition is eligible for an Employee Referral Award.  ALL eligibility requirements must be met to receive the referral award.

#LI-TR1

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 95,500 USD - 181,700 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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