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Remote Google Machine Learning Engineer Jobs in Linthicum Heights, MD

Senior Software Engineer

Laurel, MD ยท On-site +1

$150K - $200K/yr

Possible up to 2 days a week remote if tasking becomes available, but is not guaranteed. What You ... Experience with Machine Learning Model building and monitoring * Experience with Ghostmachine (Map ...

Senior Data Science Engineer

Laurel, MD ยท Remote

$180K - $220K/yr

Build, deploy, and monitor machine learning models, including Random Forest models and feature engineering pipelines. * Develop performance metrics, monitoring capabilities, and data flow solutions ...

Software engineer to maintain and expand a Java based machine learning model-building system. The ideal candidate would be able to deploy the application in Kubernetes environment and independently ...

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Lead Data Engineer

Baltimore, MD ยท On-site +1

$113K - $136K/yr

... machine learning roles. * Strong proficiency in Snowflake tech, DBT, Airflow, Python, Java ... Work Flexibility This role is eligible for full time remote work.

AI Prompt Engineer (IRS MBI Cleared)

Greenbelt, MD ยท Remote

$104K - $138K/yr

Greenbelt, Maryland Type: 6 months Contract To Hire Work Model: 100% Remote (EST hours) Security ... Machine learning model optimization * Advanced prompt engineering techniques * Cloud infrastructure ...

AI Prompt Engineer (IRS MBI Cleared)

Greenbelt, MD ยท Remote

$104K - $138K/yr

Greenbelt, Maryland Type: 6 months Contract To Hire Work Model: 100% Remote (EST hours) Security ... Machine learning model optimization * Advanced prompt engineering techniques * Cloud infrastructure ...

AI Prompt Engineer (IRS MBI Cleared)

Greenbelt, MD ยท Remote

$104K - $138K/yr

Greenbelt, Maryland Type: 6 months Contract To Hire Work Model: 100% Remote (EST hours) Security ... Machine learning model optimization * Advanced prompt engineering techniques * Cloud infrastructure ...

AI Prompt Engineer (IRS MBI Cleared)

Greenbelt, MD ยท Remote

$104K - $138K/yr

Greenbelt, Maryland Type: 6 months Contract To Hire Work Model: 100% Remote (EST hours) Security ... Machine learning model optimization * Advanced prompt engineering techniques * Cloud infrastructure ...

Showing results 21-40

Remote Google Machine Learning Engineer information

See Linthicum Heights, MD salary details

$31.6K

$129.1K

$194.1K

How much do remote google machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote google machine learning engineer in Linthicum Heights, MD is $129,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $155,400.00 per year, depending on experience, location, and employer.

What is a remote Google machine learning engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

What are the key skills and qualifications needed to thrive as a remote Google machine learning engineer?

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do remote Google machine learning engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What job categories do people searching Remote Google Machine Learning Engineer jobs in Linthicum Heights, MD look for? The top searched job categories for Remote Google Machine Learning Engineer jobs in Linthicum Heights, MD are:
What cities near Linthicum Heights, MD are hiring for Remote Google Machine Learning Engineer jobs? Cities near Linthicum Heights, MD with the most Remote Google Machine Learning Engineer job openings:

Senior Software Engineer

GRVTY

Laurel, MD โ€ข On-site, Remote

$150K - $200K/yr

Full-time

Posted 6 days ago


Job description

What You'll be Owning

GRVTY is seeking a Senior Software Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Laurel, MD.

The Senior Software Engineer shall develop, enhance, and prototype compliance and business processing analytics and tools. The Engineer will also develop new methods for automating compliance functions and improve existing methods. Additional responsibilities include investigating, integrating, and testing compliance modernization Machine Learning/AI algorithms and research proof-of-concepts in the RD environment. The Engineer will also develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows.

Telework: Possible up to 2 days a week remote if tasking becomes available, but is not guaranteed.

What You Must Have

  • Active TS/SCI with Polygraph Clearance
  • 14-20 years of experience as a SWE in programs and contracts of similar scope, type, and complexity is required
  • Bachelor's degree in Computer Science or related discipline from an accredited college or university is required; 4 years of additional SWE experience may be substituted for a degree
  • Experience with Python
  • Experience with GM Learn
  • Exploratory Data Analysis (EDA)
  • Experience with Jira
  • Experience with Confluence
  • Experience developing in a Linux operating environment
  • Experience with Java and Scala
  • Experience with Lucene, JEXL, SQL, JSON
  • Random Forest and ability to do feature development for Random Forest
  • Experience with Machine Learning Model building and monitoring
  • Experience with Ghostmachine (Map/Reduce)
  • Experience with Jupyter Notebooks
  • Experience with IntelliJ and/or Eclipse
  • Experience with Git/Gitlab and/or Stash/Bitbucket
  • Experience with Scikit-learn
  • Agency Compliance standards, policies, and authorities
  • Experience with Agency corporate systems
  • Experience with documentation and reviewing documentation

What Would be Nice to Have

  • Data Science skills/background
  • Experience with AWS
  • Experience implementing ML systems
  • Experience with Spark
  • Agentic AI
  • Large Language Models (LLM)
  • Machine Learning Feature Development
  • Other Machine Learning models and techniques

#LI-BPJ

Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

Maryland Pay Range
$150,000—$200,000 USD

Why Choose GRVTY


The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.

• Robust health plan including medical, dental, and vision

• Health Savings Account with company contribution

• Annual Paid Time Off and Paid Holidays

• Paid Parental Leave

• 401k with generous company match

• Training and Development Opportunities

• Award Programs

• Variety of Company Sponsored Events

EEO Statement


GRVTY, 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, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.

Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details.  A member of the HR team will respond to your request within 2 business days. 

Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) 

Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.