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Machine Learning Engineer Jobs in California, MD

Jr-to-Mid Software Developer

Dahlgren, VA · On-site +1

$79K - $109K/yr

We are actively seeking a junior to mid-level software developer for the Machine Learning Operations (MLOps) project. The ideal candidate will have a strong foundation in Artificial Intelligence (AI ...

We are actively seeking a junior to mid-level software developer for the Machine Learning Operations (MLOps) project. The ideal candidate will have a strong foundation in Artificial Intelligence (AI ...

Software Engineer

Dahlgren, VA · On-site

$95K - $115K/yr

Overview As the Software Engineer working for Hepburn and Sons LLC, you will maintaintechnical and ... Shallhave basic understanding of AI Machine Learning (ML), Deep Learning (DL), and Large Language ...

AI Intern

Lexington Park, MD · On-site

$14.50 - $19.50/hr

A strong understanding of machine learning concepts, algorithms, and frameworks. * Proficiency in programming languages such as Python, R, or Java. * Familiarity with AI tools and libraries, such as ...

Software Engineer

Dahlgren, VA · On-site

$95K - $115K/yr

Overview As the Software Engineer working for Hepburn and Sons LLC, you will maintain technical and ... Shall have basic understanding of AI Machine Learning (ML), Deep Learning (DL), and Large Language ...

Overview As the Software Engineer working for Hepburn and Sons LLC, you will maintain technical and ... Shall have basic understanding of AI Machine Learning (ML), Deep Learning (DL), and Large Language ...

Software Engineer

Dahlgren, VA · On-site

$95K - $115K/yr

As the Software Engineer working for Hepburn and Sons LLC, you will maintain technical and ... Shall have basic understanding of AI Machine Learning (ML), Deep Learning (DL), and Large Language ...

... machine learning, and complex data integration. Projects include engineering support for software-intensive DoD cyberspace systems that integrate information from numerous standard and non-standard ...

Be Seen First

This role combines statistical analysis, data engineering, ontology development, knowledge graph design, and artificial intelligence and machine learning methods to support customer missions and ...

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

... machine learning, AI) • Experience building/maintaining/automating dashboards for users • ... Engineering, Advanced Communication Technologies and Digital Engineering. Founded in 1989, the ...

... machine learning, and complex data integration. Projects include engineering support for software-intensive DoD cyberspace systems that integrate information from numerous standard and non-standard ...

Showing results 21-40

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 Sep 9, 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 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 cities near California, MD are hiring for Machine Learning Engineer jobs?

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

Infographic showing various Machine Learning Engineer job openings in California, MD as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $123,398 per year, or $59.3 per hour.

AI/ML Software Developer - Clearance Required

Dahlgren, VA • On-site

SimVentions
IT Services • 201 - 500 employees

$79K - $109K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

SimVentions is 100% employee-owned and proudly ranked among Virginia’s Best Places to Work year after year! We are actively seeking a junior to mid-level software developer for the Machine Learning Operations (MLOps) project. The ideal candidate will have a strong foundation in Artificial Intelligence (AI) / Machine Learning (ML) and large language models (LLMs) with some software development experience.


Travel - Minimal CONUS and local travel required


Clearance

An interim Secret Clearance is required for this position. Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance.


Requirements

  • Hands on experience with software development languages like GO, Python, Javascript, and Vue.js
  • Understanding of data storage and retrieval utilizing databases, S3 storage containers and/or VAST storage environments
  • AI/ML Knowledge: Entry/Foundational knowledge of ML concepts, intelligent automation capabilities, and the ML model lifecycle (training, validation, deployment, monitoring)
  • Understanding on the utilization of CPU and GPU for Machine Learning and Model Training
  • Experience with integrating both commercial and internally developed toolsets using Software Development Kits (SDKs) and Application Programming Interfaces (APIs)


Responsibilities

The software developer will work within the current development environment and toolsets to expand and enhance automation capabilities within the Machine Learning Operations (MLOPS) ecosystem. In addition, the software developer will work to automate model training processes to allow efficient repeatability, utilize data and model requirements to design architecture to scale, and inject configuration management of the data sources and model output.


Preferred Skills and Experience

  • Familiarization with Docker and containerized applications
  • Familiarity with MongoDB, PostgressSQL, and common SQL and Graph database interactions


Education

A Bachelor of Science (BS) degree from an accredited college or university in an engineering, scientific, or technical discipline is required.

Company Description

At SimVentions, we’re committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs.

We offer:

Medical, dental, vision, and prescription drug coverage
Employee Stock Ownership Plan (ESOP)
Competitive 401(k) programs
Retirement and Financial Counselors
Health Savings and Health Reimbursement Accounts
Flexible Spending Accounts
Life insurance, short- & long-term disability
Continuing Education Assistance
Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military)
Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling
Supplemental Benefit Program
Why Work for SimVentions?
SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It’s also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together.

Support Our Warfighters

SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world.

Drive Customer Success

We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact.

Get Involved in Giving Back

We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year.

Build Innovative Technology

SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer’s success.

Work with Brilliant People

We don’t just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture.

Create Meaningful Solutions

We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve.

Employees who join SimVentions will enjoy additional perks like:

Employee Ownership: Work with the best and help build YOUR company!
Family focus: Work for a team that recognizes the importance of family time.
Culture: Add to our culture of technical excellence and collaboration.
Dress code: Business casual, we like to be comfortable while we work.
Resources: Excellent facilities, tools, and training opportunities to grow in your field.
Open communication: Work in an environment where your voice matters.
Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development.
Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more.
Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite.
Food: We have a lot of food around here!