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Remote Senior Machine Learning Engineer Jobs in Washington

Capital One

Sr. Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Autodesk

Senior Machine Learning Test Engineer

Washington, DC · On-site +1

$125K - $162K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage Time ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

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Remote Senior Machine Learning Engineer information

How do Remote Senior Machine Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a track record of impactful projects, and expertise in tools like TensorFlow or PyTorch.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are the key skills and qualifications needed to thrive as a Remote Senior Machine Learning Engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a Remote Senior Machine Learning Engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

What engineers make $300,000 a year?

Senior machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and work at large tech companies or in specialized industries. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand markets.

Will MLE be replaced by AI?

As a Senior Machine Learning Engineer, the role involves designing, developing, and maintaining AI systems, which currently require human expertise. While AI tools can automate certain tasks, the need for skilled professionals to interpret data, ensure ethical use, and improve models remains essential. AI is more likely to augment rather than replace the responsibilities of MLEs in the foreseeable future.

What engineers make $200,000 a year?

Senior machine learning engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and proficiency with tools like TensorFlow or PyTorch. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.
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Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in Washington as of July 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution.

Senior Machine Learning Engineer - United States - Remote

AHU Technologies, Inc.

Washington, DC • On-site, Remote

$150K - $300K/yr

Full-time

Posted 6 days ago

Job description

Job Title: Senior Machine Learning Engineer
Location: United States (Remote)
JD in One Line
Own recommendation, search, ranking, retrieval, and discovery for a consumer content ecosystem.
What You Will Own
  • Build recommendation and search across feed, discovery, search, and content continuation.
  • Own retrieval and ranking systems, including candidate generation, embeddings, two-tower models, feature engineering, and serving quality.
  • Design, launch, and analyze recommendation and search experiments.

Requirements
  • 5+ years of industry experience building production ML systems with senior-level ownership.
  • Hands-on experience with recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.
  • Experience working on consumer applications, entertainment, social media, gaming, creator platforms, or other engagement-driven products.
  • Strong knowledge of two-tower models, embedding retrieval, candidate generation, ranking systems, and online/offline evaluation.

Hard Filters
  • 5+ years of industry experience building production ML systems with senior-level ownership.
  • Hands-on experience with recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.
  • Experience with consumer applications, entertainment, social, gaming, creator, or engagement-driven products.
  • Expertise in two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.
  • Fluency in Chinese (Mandarin) is required.

Strong Fit
  • Built recommendation and search systems across feed, discovery, search, and content continuation.
  • Owned retrieval and ranking systems, including candidate generation, embeddings, two-tower models, features, and serving quality.
  • Designed, launched, and analyzed recommendation/search experiments.

Bonus Signals
  • 5+ years of production ML experience.
  • Strong background in recommendation systems.
  • Experience with search ranking.
  • Experience with embedding retrieval.

Anti-Signals
  • Cannot demonstrate core Senior Machine Learning Engineer experience focused on recommendation systems.
  • Not comfortable with the specified remote work arrangement.
  • Primarily coordination-focused with limited technical ownership or no shipped production examples.

Interview Process
  • Initial recruiter screen.
  • Senior Machine Learning Engineer (Recommendation) technical/product deep dive.
  • Team/founder conversation.

Culture
  • AI-native, fast-paced startup environment with strong ownership expectations.
  • Focus on building consumer AI products at the intersection of AI, social, mobile, and interactive entertainment.
  • Looking for engineers who ship quickly, learn from users, and take end-to-end ownership.

Compensation: $150,000.00 - $300,000.00 per year
About Us
AHU Technologies INCis an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues.
AHU Technologies INC was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.

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