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Machine Learning Jobs in California, PA (NOW HIRING)

Eaton

Tool & Die Machinist

Washington, PA · On-site

$28.21/hr

... Learning and Improvement: Opportunities for ongoing training and development to have a direct ... Basic Requirements: • Ability to machine and construct tooling to drawing specifications to meet ...

Westrock

Production Team - 1st Shift

Coal Center, PA · On-site

$18.47/hr

This role is responsible for assisting with machine set up, following production specifications ... Comprehensive training with learning and development opportunities. * Competitive pay reflective of ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Jobs in California, PA

Machine Learning information

See California, PA salary details

$22.3K

$37.3K

$77K

How much do machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning in California, PA is $37,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,500.00 and $40,300.00 per year, depending on experience, location, and employer.

What is a machine learning?

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 are the 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 are the key skills and qualifications needed to thrive in a machine learning position?

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.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

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

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

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

Machine Learning jobs near you
Infographic showing various Machine Learning 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 $37,284 per year, or $17.9 per hour.

Senior Staff Engineer (Autonomy Behaviors (R4073) (Washington)

Shield AI

Washington, PA • On-site

$51.25 - $66.25/hr

Full-time

Medical, Retirement

Posted 14 days ago

Job description

  • Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land
  • We aim to push the envelope by combining traditional autonomous systems algorithms with deep reinforcement learning-based solutions to deliver unmatched capability, agility, and speed in deploying advanced technologies that support national defense
  • Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision
  • High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments
  • Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios
  • Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior
  • Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms
  • Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions
  • Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development
  • R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission
  • Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback
  • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events)
  • These solutions are expected to be integrated into real-world problems with near-term program impacts and rewards
Benefits
  • Excellent Medical Coverage
  • Mental Health Employee Assistance Program
  • Paid Parental Leave
  • Pet Insurance
  • Flexible Work Hours
  • Onsite Gym (DC)
  • Gym Discount (San Diego)
  • Free Parking
  • Competitive Compensation
  • Stock Benefits
  • 401K Services and Match

This position is perfect for an individual who enjoys solving the most complex problems across a portfolio of diverse domains and modalitiesAn ideal candidate is expected to apply classical autonomous techniques, algorithms, and theory to various platforms in multiple tactical scenariosAbility to obtain a SECRET clearanceStrong problem-solving skills, with the ability to troubleshoot and optimize system performanceExperience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validationExcellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environmentBS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experienceTypically requires a minimum of 10 years of related experience with a Bachelor's degree; or 9 years and a Master's degree; or 7 years with a PhD; or equivalent work experienceSignificant experience with unmanned system technologies and accompanying algorithms (specifically air domain)Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system designExperience with UCI and OMS StandardsWork on behaviors applicable across air, ground, and maritime vehiclesHands-on experience supporting flight demos or live exercisesFamiliarity with tactical behaviors for unmanned systems in DoD or government programsBackground in collaborative behaviors, swarm robotics, or distributed decision-makingExperience applying ML/RL techniques in autonomy pipelines

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