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Remote Machine Learning Jobs in Hyattsville, MD (NOW HIRING)

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Data Scientist (Remote)

VA ยท On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... NLP, and machine learning (both supervised and unsupervised) to improve relevance and ...

Azure Data Architect

Washington, DC ยท Remote

$72.25 - $92.75/hr

Location: 100% Remote. This is a United States based position, and candidates must reside in the ... Expertise in statistical modeling, machine learning algorithms, and data mining techniques. * Must ...

This is a fully remote position for candidates in the continental U.S., with work hours aligned to ... This role involves leveraging cutting-edge technologies, including GenAI and machine learning ...

Senior Software Engineer - Remote

Washington, DC ยท Remote

$138K - $182K/yr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Showing results 41-60

Remote Machine Learning information

See Hyattsville, MD salary details

$25.6K

$42.7K

$88.2K

How much do remote machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote machine learning in Hyattsville, MD is $42,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $46,100.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Hyattsville, MD?

The most popular types of Machine Learning jobs in Hyattsville, MD are:

What are popular job titles related to Remote Machine Learning jobs in Hyattsville, MD?

For Remote Machine Learning jobs in Hyattsville, MD, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Hyattsville, MD look for?

The top searched job categories for Remote Machine Learning jobs in Hyattsville, MD are:

What cities near Hyattsville, MD are hiring for Remote Machine Learning jobs?

Cities near Hyattsville, MD with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Hyattsville, MD as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $42,682 per year, or $20.5 per hour.

Software Engineer (Machine Translation)TS/SCI with Poly)

SOLERITY

Fort George G Meade, MD โ€ข On-site, Remote

$170K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Description

ย Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation's most critical Signals Intelligence (SIGINT) and cybersecurity missions.


Solerity is seeking a Machine Translation to support advanced research, development, and prototyping of Artificial Intelligence and Machine Learning solutions. This role focuses on machine translation technologies, large-scale data processing, and applied AI research to support SIGINT exploitation and cybersecurity analytics.

The ideal candidate will be experienced in modern machine learning approaches, particularly transformer-based architectures, and will contribute to the development, evaluation, and enhancement of machine translation systems and AI-driven processing pipelines.


Responsibilities Include:
  • Investigate, analyze, and develop AI and machine learning solutions supporting SIGINT and cybersecurity data exploitation.ย 
  • Design, build, and evaluate research prototypes for machine translation and NLP-based applications.ย 
  • Work with large and complex datasets to develop scalable AI-driven analytical solutions.ย 
  • Apply advanced research and development techniques to solve complex AI/ML technical challenges.ย 
  • Contribute to the design and implementation of machine translation pipelines and text processing systems.ย 
  • Evaluate emerging tools, models, and techniques in machine translation and natural language processing.ย 
  • Analyze and improve encoder/decoder transformer architectures and related AI systems.ย 
  • Develop and optimize AI/ML workflows and processing pipelines for performance and accuracy.ย 
  • Support integration and deployment of AI solutions within secure operational environments.ย 
  • Build and maintain containerized applications using Docker for model deployment and testing.ย 
  • Collaborate with senior researchers and engineers to refine AI methodologies and solutions.ย 
  • Propose enhancements to machine translation systems and end-to-end data processing flows.ย 
  • Document research findings, methodologies, and technical implementations.ย 
  • Additional duties may be assigned.ย 
REQUIREMENTS YOU BRING:
  • Bachelor's degree in Engineering, Computer Science, Mathematics, or other STEM field.ย 
  • 11+ years of relevant experience in AI, machine learning, data science, or related technical disciplines.ย 
  • Active TS/SCI with Full Scope Polygraph (FSP) clearance required.ย 
  • Strong experience working in research and development environments.ย 
  • Hands-on experience with machine learning and machine translation technologies.ย 
  • Solid understanding of encoder-decoder transformer architectures.ย 
  • Experience with modern text processing pipelines and natural language processing systems.ย 
  • Understanding of text embeddings and vector-based representations.ย 
  • Knowledge of differences between transformer-based MT systems (e.g., Marian) and large language models.ย 
  • Ability to evaluate and compare machine translation architectures and approaches.ย 
  • Experience developing AI/ML solutions using Python and C/C++.ย 
  • Experience with Docker for containerized development and deployment.ย 
  • Ability to propose and implement improvements to AI/ML systems and workflows.ย 
HIGHLY DESIRED QUALIFICATIONS:
  • Experience working in Intelligence Community or SIGINT-focused environments.ย 
  • Strong research background in machine translation or natural language processing.ย 
  • Experience developing or fine-tuning transformer-based AI models.ย 
  • Experience with distributed computing or large-scale model training environments.ย 
  • Strong ability to communicate complex technical concepts to both technical and non-technical stakeholders.ย 
  • Experience evaluating emerging AI/ML tools and technologies in production or research settings.ย 
WORK LOCATION
  • Emerson III facilityย 
  • Telework eligible (up to 50% depending on mission requirements)ย 
TRAVEL
  • Minimal travel anticipated based on mission requirements

Requirements

BENEFITS YOU'LL ENJOY:

1. Medical, dental and vision coverage

2. Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care

3. Flexible work schedule to include onsite, hybrid or remote, as dictated by position

4. 401(k) and company-funded life insurance

5. Generous Paid Time Off (PTO)

6. Tuition and training assistance

7. Financial rewards for employee referrals.

8. Pet insurance

9. Employee discount program


EMPLOYMENT OPPORTUNITIES: Solerity is committed to the range of perspectives we bring to the marketplace by being an employer dedicated to hiring a highly qualified team of professionals, providing world class services and products aimed at exceeding our customer's expectations. Solerity is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. Solerity is a VEVRAA Federal Contractor.


APPLY TODAY!


JOB ID- 343