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Machine Learning Engineer Jobs in California, MD

Motorola

Principal Technical Program Manager - AI

California, MD · On-site +1

$123K - $160K/yr

  • Medical

  • Dental

  • Retirement

Our AI-powered security solutions integrate advanced video analytics, machine learning, and ... AI for Developer Practices: Drive strategic programs to integrate AI/ML into our internal software ...

Radiance Technologies

Data Scientist

Dahlgren, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

In this role, you'll work alongside a multidisciplinary team of software engineers, fellow data ... machine learning techniques, and helping shape national defense strategies, this is your ...

Radiance Technologies

Data Scientist

Dahlgren, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

In this role, you'll work alongside a multidisciplinary team of software engineers, fellow data ... machine learning techniques, and helping shape national defense strategies, this is your ...

SwiftCruit

Data Scientist

Dahlgren, VA · On-site

$110 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

In this role, you'll work alongside a multidisciplinary team of software engineers, fellow data ... machine learning techniques, and helping shape national defense strategies, this is your ...

Motorola

Director of Computer Vision

California, MD · On-site

  • Medical

  • Dental

  • Retirement

Our AI-powered security solutions integrate advanced video analytics, machine learning, and ... Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in California, MD

Machine Learning Engineer information

See California, MD salary details

$30.2K

$123.4K

$185.4K

How much do machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning engineer in California, MD is $123,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $148,500.00 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 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 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 cities near California, MD are hiring for Machine Learning Engineer jobs?

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in California, MD as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $123,398 per year, or $59.3 per hour.

Systems Engineer

Barrow Wise Consulting

Dahlgren, VA

Full-time

Re-posted 3 days ago

Job description

Enjoy problem-solving, need a venue to display your creativity, and emerging technologies pique your interest; if so, Barrow Wise Consulting, LLC is for you. As a multi-disciplined leader, you understand the gifts that set you apart from everyone else. Demonstrate innovative solutions to our clients. Join Barrow Wise Consulting, LLC today.

Responsibilities:

The Systems Engineer will support Barrow Wise's Department of Defense project and perform the following tasks:

  • Build a comprehensive system, data, and architecture model, which includes understanding the technical relationships, dependencies, and requirements of infrastructure, software components, data, integrations, tools, and methodologies
  • Conduct a needs analysis and provide solution engineering
  • Analyze weapons systems and develop recommendations
  • Gather, analyze, and document requirements
  • Create a new comprehensive architecture design and perform design reviews
  • Create, perform, and document tests using various use cases
  • Develop the system and provide technical expertise on the implementation of information security standards and enterprise applications architecture by guiding the integration of application architecture standards into information technology processes
  • Provide system integration services and conduct operations and maintenance, periodic reviews, cybersecurity performance, identifying and resolving gaps
  • Document the system guide and display expertise of model-based systems engineering and digital transformation, including emerging technologies such as 5G, Data Mesh, AI, Blockchain, Augmented Reality, Machine Learning, and IoT, and helping customers define and implement them into their enterprise
  • Collaborate with stakeholders to ensure that the system exceeds their needs
  • Work onsite at Dahlgren, Virginia

An Ideal Candidate has:

  • US Citizenship and a Secret Clearance
  • Education: Bachelor's degree or higher in a technical field (e.g., Engineering, Computer Science, Information Technology) and at least one technical certification
  • At least ten years of systems engineering experience supporting the federal government or Fortune 100 firms.

Join the team at Barrow Wise Consulting, LLC for a fulfilling and engaging experience! Our team is dedicated to providing innovative solutions to our clients in an ethical and diverse work environment. We offer competitive compensation packages, excellent benefits, and opportunities for growth and advancement. Barrow Wise is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LBGT are welcome to apply.

Our employees stand behind Barrow Wise's core values of integrity, quality, innovation, and diversity. We are confident that Barrow Wise's core values, business model, and team focus create positive career paths for our employees. Barrow Wise will continue to lead the industry in delivering new solutions to clients and persevere until the client is overjoyed.

Apply