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Machine Learning Engineer Jobs in California, PA

Leverage existing welding, machining, and other industrial processes to support repair technology ... Support complex engineering assignments involving both established and novel repair technologies.

New

Leverage existing welding, machining, and other industrial processes to support repair technology ... Support complex engineering assignments involving both established and novel repair technologies.

Leverage existing welding, machining, and other industrial processes to support repair technology ... Support complex engineering assignments involving both established and novel repair technologies.

Showing results 21-40

Machine Learning Engineer information

See California, PA salary details

$27.6K

$112.7K

$169.4K

How much do machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning engineer in California, PA is $112,745.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,900.00 and $135,700.00 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.

What job categories do people searching Machine Learning Engineer jobs in California, PA look for?

The top searched job categories for Machine Learning Engineer jobs in California, PA are:

What cities near California, PA are hiring for Machine Learning Engineer jobs?

Cities near California, PA with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in California, PA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $112,745 per year, or $54.2 per hour.

Specialized Engineer III

GEM Technologies, Inc.

West Mifflin, PA โ€ข On-site

$100 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

ABOUT THE ROLE

We are seeking a Specialized Engineer III to join our team supporting the Naval Nuclear Laboratory (NNL) at their Bettis Atomic Power Laboratory site! This position is full-time and will be based out of West Mifflin, PA.

Responsibilities

  • Support the evaluation and development of metallic and non-metallic repair technologies for Naval Nuclear Laboratory (NNL) applications.

  • Collaborate with multidisciplinary engineering teams to identify, research, test, and evaluate repair methods and technologies.

  • Assess repair technologies through laboratory testing and commercial vendor/subcontract activities.

  • Leverage established industrial processes, including welding, machining, fabrication, and related repair techniques, when developing and evaluating repair solutions.

  • Assist with the planning, coordination, execution, and follow-through of engineering projects and work efforts.

  • Develop and maintain technical instructions, procedures, documentation, and work plans supporting repair technology development and deployment.

  • Prepare technical reports, submittals, evaluations, recommendations, and other engineering documentation.

  • Track procurement activities, project expenditures, and budget performance associated with assigned projects.

  • Coordinate with stakeholders and support organizations across NNL, Naval shipyards, Naval Reactors Headquarters, vendors, and other external partners.

  • Support project planning, equipment testing, technology qualification, and repair deployment activities.

  • Monitor and report project schedules, milestones, technical progress, risks, and overall performance within NNL's repair technology development programs.

  • Interface with commercial vendors and subcontractors to support technology development, testing, procurement, and implementation activities.

  • Travel periodically to vendor facilities and Naval shipyards to support project planning, equipment testing, and field deployment of repair technologies.

  • Contribute to the evaluation of both established and emerging repair technologies to improve the effectiveness and reliability of Naval repair capabilities.

Requirements

  • Education & Years of Experience โ€“ Bachelorโ€™s Degree in Welding Engineering, Materials Science & Engineering, Mechanical Engineering or a related frield from an accredited college or university and 5+ years of work experience OR Masters Degree in Welding Engineering, Materials Science & Engineering, Mechanical Engineering or a related frield ffrom an accredited college or university and 3+ years of experience.

  • Citizenship โ€“ To be considered, you must be a United States (U.S.) citizen due to the federal nature of the work.

  • Clearance โ€“ To be considered, you MUST be able to obtain and maintain a government issued clearance before you can start.

    • Candidates with an active DOE "L" Clearance or DOD "Secret" clearance are HIGHLY DESIRED.

  • Must have experience making technical presentations.

  • Lead/execute laboratory operations in a productive, timely, and compliant manner.

Desired Skills

  • Experience developing, testing, evaluating, and qualifying repair procedures and technologies in a laboratory environment.

  • Knowledge of or experience with welding and fabrication processes, including:

  • Gas Tungsten Arc Welding (GTAW/TIG)

  • Gas Metal Arc Welding (GMAW/MIG)

  • Shielded Metal Arc Welding (SMAW/Stick)

  • Familiarity with epoxies, composites, and non-metallic repair methods.

  • Knowledge of mechanical repair, machining, and fabrication processes.

  • Ability to develop, read, and interpret engineering specifications, technical drawings, and engineering standards.

  • Experience planning and executing technical work programs and laboratory testing activities.

  • Ability to design experiments, develop test plans, collect data, and analyze experimental results.

  • Strong technical writing skills, including preparation of engineering reports, procedures, test documentation, and recommendations.

  • Demonstrated hands-on experience executing laboratory or engineering test work.

  • Familiarity with inspection and quality verification methods is preferred.

  • Ability to work effectively with fabrication vendors, shipyards, engineers, and other technical stakeholders.

  • Experience supporting technology transfer, qualification, and implementation of new repair processes.

  • Strong problem-solving, analytical, and troubleshooting skills.

  • Demonstrated initiative, creativity, and ability to work independently on complex technical assignments.

About the Site

The Naval Nuclear Laboratory is comprised of the Bettis Atomic Power Laboratory, located in West Mifflin, Pennsylvania, the Knolls Atomic Power Laboratory located in Niskayuna, New York, the Kesselring Site, located in West Milton, New York, and the Naval Reactor Facility located in Idaho Falls, Idaho. Together, they develop advanced technology for the United States Naval Nuclear Propulsion Program, ensure the safety and reliability of naval nuclear reactors, and train Sailors who operate reactors in submarines and aircraft carrier fleets (energy.gov).

ABOUT GEM

GEM Technologies, Inc. (GEM) is an award-winning federal contractor with more than 30 years of experience providing environmental, construction, facility management, and technical services to federal agencies, state and local governments, and commercial organizations. Founded in 1994 as a nuclear engineering firm to support federal operations in East Tennessee, GEM has since expanded into a nationwide, multi-disciplinary provider with over 270 employees and a diverse portfolio of contracts in the environmental, nuclear, and defense sectors. Some reasons to join GEM are:

  • Our philosophy โ€“ We believe in the power of effective collaboration and recognize that good partnerships are the building blocks to success.

  • Our relationships โ€“ Partnering with federal clients, we solve complex problems, exceed expectations, and advance critical missions.

  • Our team โ€“ We are committed to managing a cohesive workforce and cultivating a supportive workplace for our employees on contracts and in-office.

  • Our community involvement โ€“ Supporting our communities, we invest time and money in local schools and non-profit organizations.

COMPENSATION AND BENEFITS

GEMโ€™s offered compensation is dependent on candidatesโ€™ education, qualifications, and relevant years of experience. To recruit and retain our exceptional staff, we offer the opportunity to elect benefit packages that best suit our employeeโ€™s needs; this includes, but is not limited to, a competitive Salary, Medical, Dental and Vision Insurance (including HSA & PPO options), Paid Time Off (PTO), Paid Holidays, Life Insurance, and a matching 401(k) Retirement Plan.

Please Note: With the exception of mandated state requirements, GEM does not publish salary information on external job boards; as such, most ranges listed are estimates made by vendors and not actual salary ranges.

EQUAL OPPORTUNITY EMPLOYER

GEM Technologies, Inc. is an Equal Opportunity/Affirmative Action Employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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