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Senior Machine Learning Engineer Jobs in Columbia, MD

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.

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 ...

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Senior Machine Learning Engineer information

See Columbia, MD salary details

$58.6K

$124.6K

$180.6K

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

As of Sep 6, 2026, the average yearly pay for senior machine learning engineer in Columbia, MD is $124,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $141,300.00 per year, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Machine Learning Engineer jobs in Columbia, MD?

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

What are popular job titles related to Senior Machine Learning Engineer jobs in Columbia, MD?

For Senior Machine Learning Engineer jobs in Columbia, MD, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Engineer jobs in Columbia, MD look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Columbia, MD are:

What cities near Columbia, MD are hiring for Senior Machine Learning Engineer jobs?

Cities near Columbia, MD with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in Columbia, MD as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $125,595 per year, or $60.4 per hour.

Senior Machine Learning Engineer - Homes.com - Arlington, VA

CoStar

Arlington, VA • On-site

$166K - $204K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


CoStar Group rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

55th of 209 rated real estate companies


Job description

Senior Machine Learning Engineer - Homes.com - Arlington, VA
Job Description
CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. Homes.com Homes.com is already one of the fastest growing real estate portals in the industry, we are driven to be #1. Just ask Brad Bellflower, Chief Change Officer at Apartments.com. After its acquisition in 2014, Apartments.com quickly turned into the most popular place to find a place. Proven success at the highest level - and we're doing it again with the new Homes.com. Homes.com is a CoStar Group company with 20+ years' experience in leading and growing digital marketplaces. We pride ourselves on continually improving, innovating, and setting the standard for property search and marketing experiences. With Homes.com we're building a brand on the cusp of defining the industry. We're looking for big thinkers, brave leaders, and creative advertising wizards ready to influence a new age of homebuying within a tried-and-true, award-winning company. Learn more aboutHomes.com. This Machine Learning Engineer role focuses on building and scaling production-grade machine learning solutions that directly enhance CoStar's products and customer experience. The engineer will work closely with software engineers, product leaders, and business stakeholders to develop, deploy, and optimize ML models across large-scale datasets, while helping evolve CoStar's cloud-based machine learning platform. This position is located in Arlington, VA and will have a 4-day onsite schedule Monday-Thursday, with Fridays work from home. RESPONSIBILITIES: Collaborate on the continued improvement of CoStar's cloud-based machine learning environment Design, build, test and deploy scalable, reusable and maintainable models that handle large amounts of data. Collaborate with other engineers, product owners, and leadership to create ML solutions that solve practical problems and improves our customer's experience Gain an understanding of the CoStar business and how ML can improve things BASIC QUALIFICATIONS: Bachelor's degree required from an accredited, not-for-profit, in-person college/university A track record of commitment to prior employers 5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role 3+ years of programming experience with Python Experience with recommendation systems and (preferably) computer vision Strong foundations in ML concepts including supervised/unsupervised learning, model evaluation, feature engineering, and familiarity with deep learning frameworks (PyTorch or TensorFlow) PREFERRED SKILLS: Experience with ML cloud tools such as Databricks, Amazon Personalize, SageMaker Experience with SQL-based relational databases (e.g. AWS RDS) or document-based databases (e.g. DynamoDB). Experience solving streaming and batch data processing problems at scale Experience building, deploying and optimizing ML models WHAT'S IN IT FOR YOU: When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training and tuition reimbursement. Our benefits package includes (but is not limited to): Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug Life, legal, and supplementary insurance Commuter and parking benefits 401(K) retirement plan with matching contributions Employee stock purchase plan Paid time off Tuition reimbursement Complimentary gourmet coffee, tea, hot chocolate, prepared foods, fresh fruit, and other healthy snacks The final salary or hourly rate offered for this role with fall within the range set forth below based on a variety of factors, including but not limited to, geographic location, skills, and competencies. Base Compensation: $166,000-204,000 #LI-AV1 #Homes.com
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

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