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Senior Machine Learning Engineer Jobs in Jessup, MD

STR

Senior Machine Learning Engineer

Washington, DC

$155K - $195K/yr

The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into production systems that solve critical national security problems. Working as part of a ...

New

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 ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

AISquared

Machine Learning Engineer

Washington, DC · On-site

Job Summary : aisquared is a company focused on AI solutions, and they are seeking a highly skilled Machine Learning Engineer to join their core AI team. In this role, you will be responsible for ...

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, evaluate, and deploy advanced machine learning systems across a range of safety, security, and ...

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Senior Machine Learning Engineer information

See Jessup, MD salary details

$61.2K

$130.2K

$188.7K

How much do senior machine learning engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for senior machine learning engineer in Jessup, MD is $130,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $147,600.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Jessup, MD are hiring for Senior Machine Learning Engineer jobs? Cities near Jessup, MD with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you

Senior Machine Learning Engineer - United States - Remote

AHU Technologies Inc

Washington, DC • Remote

$150K - $300K/yr

Full-time

Posted 12 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.
 

This is a remote position.