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Research Machine Learning Federated Learning Jobs in Baltimore, MD

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Research Machine Learning Federated Learning information

See Baltimore, MD salary details

$25.3K

$42.3K

$87.4K

How much do research machine learning federated learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for research machine learning federated learning in Baltimore, MD is $42,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What is a researcher in machine learning federated learning?

A Researcher in Machine Learning Federated Learning is a professional who investigates and develops methods to train machine learning models across multiple decentralized devices or servers, while keeping data localized and private. Their work focuses on improving algorithms, ensuring data privacy, and addressing challenges related to distributed learning, communication efficiency, and model accuracy. They often collaborate with other researchers, publish findings, and contribute to advancing technologies that make it possible to use sensitive data for AI without compromising privacy.

What are the key skills and qualifications needed to thrive as a researcher in machine learning federated learning?

To thrive as a Researcher in Machine Learning Federated Learning, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant advanced degree (e.g., PhD or MSc). Familiarity with Python, TensorFlow, PyTorch, and distributed computing frameworks, as well as knowledge of privacy-preserving techniques and relevant research publications, is essential. Excellent analytical thinking, problem-solving abilities, and clear scientific communication are key soft skills for success in collaborative research environments. These competencies are vital to drive innovation, rigorously evaluate federated learning approaches, and advance privacy-preserving AI technologies.

What are some common challenges faced when implementing federated learning in a research environment?

One of the primary challenges in research-focused federated learning roles is ensuring data privacy and security while maintaining model performance across distributed devices. Researchers must also address issues such as handling heterogeneous data sources, communication bottlenecks between nodes, and the complexity of debugging decentralized systems. Collaborating with cross-functional teams—such as data engineers, privacy experts, and domain specialists—is vital to overcome these hurdles and drive successful outcomes. Staying updated with the latest advancements and actively contributing to open-source initiatives can also help researchers address these evolving challenges.

What is the difference between Research Machine Learning Federated Learning vs Data Scientist?

AspectResearch Machine Learning Federated LearningData Scientist
CredentialsAdvanced degrees in CS, ML, or related fields; research experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academic institutions, tech companies focusing on privacy-preserving MLBusiness environments, analytics teams, data-driven departments
Industry UsageDeveloping federated algorithms, privacy-preserving ML modelsData analysis, modeling, reporting, and insights generation

Research Machine Learning Federated Learning specialists focus on developing privacy-preserving algorithms across distributed data sources, often in research or R&D settings. Data Scientists analyze and interpret data to inform business decisions. While both roles require strong ML knowledge, federated learning roles emphasize distributed systems and privacy, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Research Machine Learning Federated Learning jobs in Baltimore, MD?

For Research Machine Learning Federated Learning jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Research Machine Learning Federated Learning jobs in Baltimore, MD look for?

The top searched job categories for Research Machine Learning Federated Learning jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Research Machine Learning Federated Learning jobs?

Cities near Baltimore, MD with the most Research Machine Learning Federated Learning job openings:

Research Machine Learning Federated Learning jobs near you
Infographic showing various Research Machine Learning Federated Learning job openings in Baltimore, MD as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $42,313 per year, or $20.3 per hour.

Cleared Machine Learning Software Engineer

Bestgate Engineering

Laurel, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago

Job description

Cleared Machine Learning Software Engineer
Join a team developing next-generation compliance automation and business processing analytics solutions supporting mission-critical government operations. In this role, you will design, develop, enhance, and prototype advanced analytics tools while leveraging Machine Learning and AI to modernize compliance functions. You will research, integrate, test, and deploy proof-of-concept solutions, develop machine learning models, automate data processing workflows, and implement metrics and monitoring to ensure reliable performance across applications and data flows.
Required:
  • 14+ years of software engineering experience supporting programs of similar scope, type, and complexity
  • Experience developing applications with Python, Java, and Scala in Linux environments.
  • Experience with machine learning model development, monitoring, Random Forest, feature engineering, and Scikit-learn.
  • Experience with exploratory data analysis (EDA), SQL, JSON, Lucene, JEXL, Ghostmachine (Map/Reduce), and Jupyter Notebooks.
  • Experience using Git/GitLab or Bitbucket/Stash, IntelliJ or Eclipse, Jira, Confluence, and GM Learn.
  • Familiarity with Agency compliance standards, corporate systems, and producing technical documentation.
  • Bachelor's degree in Computer Science, Information Technology, or a closely related field is preferred. In lieu of a degree, a minimum of 4 years of relevant work experience in engineering will be considered.
  • Required Security Clearance: TS/SCI w/Poly
Desired:
  • Experience with AWS, Apache Spark, and production machine learning implementations.
  • Background in Data Science, Agentic AI, Large Language Models (LLMs), or advanced machine learning techniques.

Bestgate Engineering is a leading software and systems engineering firm supporting military and government customers.
We are currently hiring Cleared Software Developers, CNO Engineers, Systems Engineers, DevOps Engineers, and Security Engineers.
At Bestgate, you'll work alongside some of the industry's most experienced software and systems engineers, tackling mission-critical challenges across cloud-native technologies, software modernization, embedded systems, data science, DevSecOps, and more. We believe exceptional people deserve exceptional support, which is why we offer a competitive benefits package focused on your well-being, career development, and work-life balance, including:
  • Competitive Pay - Less frill for more in your base pay.
  • Flexible PTO to fit your work/life needs + 11 holidays.
  • 7% 401k Employer Gift - Vested immediately.
  • 100% Paid Carefirst medical premiums for both individuals and families.
  • Training/Career Pathing - Annual budget for training, mentoring, and an Internal Mobility Program.
  • Morale Building Events - Time given to enjoy connecting with other Bestgate Employees.

Apply to learn more about us, and the work we have available!
External Referral Program - If now's not the right time, but you know someone that is looking for a change, we offer competitive external referral bonuses for every hire!
Equal Employment Opportunity: Bestgate Engineering is an Equal Opportunity Employer and federal contractor. We recruit, hire, train, compensate, and promote qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.

Apply