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Senior Machine Learning Software Engineer Jobs in Marina, CA

Cushman & Wakefield

Senior Automation Engineer

Salinas, CA · On-site

$111K - $146K/yr

Job Title Senior Automation Engineer Summary Our Purpose: At C&W Services, we live by the belief ... Proficiency in programming software (e.g. RSLogix5000 Studio, FT View, etc.) * Knowledge of ...

Wisk

Sr. Systems Engineer

Hollister, CA

$147K - $184K/yr

We are looking for a Sr. Systems Engineer to join our team. The goal of a Systems Engineer focused ... hardware and software are developed and maintained in support of the Wisk Gen 6 flight test ...

Wisk Aero

Sr. Systems Engineer

Hollister, CA · On-site

$147K - $184K/yr

We are looking for a Sr. Systems Engineer to join our team. The goal of a Systems Engineer focused ... hardware and software are developed and maintained in support of the Wisk Gen 6 flight test ...

Joby Aviation

Sr CNC Machine Operator- All Shifts

Marina, CA

$22.50 - $30.75/hr

Collaborating with CNC programmers & engineers, you will be contributing to the entire process of ... As a Senior JD Router Ops Machinist, you will not onlybe responsible forexecuting complex trimming ...

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Senior Machine Learning Software Engineer information

See Marina, CA salary details

$83K

$157.5K

$211.1K

How much do senior machine learning software engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for senior machine learning software engineer in Marina, CA is $157,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,700.00 and $177,500.00 per year, depending on experience, location, and employer.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

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

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.
What cities near Marina, CA are hiring for Senior Machine Learning Software Engineer jobs? Cities near Marina, CA with the most Senior Machine Learning Software Engineer job openings:
Senior Machine Learning Software Engineer jobs near you

Senior Software Engineer, Real-time Embedded

Raytheon Technologies

Hollister, CA • On-site

$128K - $168K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

Date Posted:
2026-05-28
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 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's Electronic Warfare (EW) Software development team is looking to hire experienced Senior Software Engineer, Real-time Embedded to work on real-time embedded products.
  • Raytheon Goleta, CA Location

What You Will Do:
  • Participate in 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.
  • 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.
  • 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.
  • 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.

Qualifications We Prefer:
  • Current transferable DoD 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.
  • 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 across all phases of software lifecycle from architecture to system integration, and post-delivery maintenance.
  • Experience with software algorithm development, and machine learning.
  • Experienced in Agile development processes.

What We Offer
  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
  • Relocation Eligible - Relocation assistance available

Learn More & Apply Now!
Please consider the following role type definition as you apply for this role.
  • 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 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

#EW
#EmbeddedSoftware
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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