ZipRecruiter

Log In

2

Remote Machine Learning Jobs in Ellicott City, MD

West 4th Strategy

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

Build and implement machine learning models and/or predictive analytics. * Maintenance of ... Remote - Eastern Standard Time zone - preferred but not required CLEARANCE * U.S. Citizenship ...

YO AI Labs

Senior Software Engineer - Remote

Washington, DC · 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 ...

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Machine Learning and AI Solutions : Lead the development and implementation of machine learning ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Ellicott City, MD

Remote Machine Learning information

See Ellicott City, MD salary details

$25.4K

$42.4K

$87.7K

How much do remote machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote machine learning in Ellicott City, MD is $42,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,800.00 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.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Ellicott City, MD? The most popular types of Machine Learning jobs in Ellicott City, MD are:
What are popular job titles related to Remote Machine Learning jobs in Ellicott City, MD? For Remote Machine Learning jobs in Ellicott City, MD, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Ellicott City, MD look for? The top searched job categories for Remote Machine Learning jobs in Ellicott City, MD are:
What cities near Ellicott City, MD are hiring for Remote Machine Learning jobs? Cities near Ellicott City, MD with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Ellicott City, MD as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $42,428 per year, or $20.4 per hour.

Machine Learning Engineer - Recommendation Systems - Mandarin Required

AHU Technologies Inc

Washington, DC • Remote

$150K - $3M/yr

Full-time

Posted 25 days ago

Job description

JD in one line

Own recommendation, search, ranking, retrieval, and discovery for Sekai’s content ecosystem.
What you will own

· Build recommendation and search across feed, discovery, search, and content continuation.
· Own retrieval/ranking: candidate generation, embeddings, two-tower models, features, and serving quality.
· Design, launch, and analyze recommendation/search experiments.
Requirements

· years industry experience building production ML systems with senior ownership.
· 5+ Hands-on recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.
· Consumer apps, entertainment, social, gaming, creator, or engagement-driven products.
· Two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.
Hard filters

· 5+ years industry experience building production ML systems with senior ownership.
· Hands-on recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.
· Consumer apps, entertainment, social, gaming, creator, or engagement-driven products.
· Two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.
Strong fit

· Build recommendation and search across feed, discovery, search, and content continuation.
· Own retrieval/ranking: candidate generation, embeddings, two-tower models, features, and serving quality.
· Design, launch, and analyze recommendation/search experiments.
Bonus:

Bonus signal: 5+ years production ML
Bonus signal: recommendation systems
Bonus signal: search ranking
Bonus signal: embedding retrieval
Anti-signals

· Cannot show core Senior Machine Learning Engineer, Recommendation experience
· Not comfortable with the listed work mode
Low ownership, coordination-only, or no shipped examples

This is a remote position.