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Research Machine Learning Federated Learning Jobs in Frederick, MD

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD · On-site

Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD · On-site

Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD

Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...

Varsity Tutors

Machine Learning Tutor

Leesburg, VA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Bespoke Labs

Machine Learning Engineer

Hagerstown, MD · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Frederick, MD · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

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All JobsResearch Machine Learning Federated Learning JobsResearch Machine Learning Federated Learning Jobs in Frederick, MD

Research Machine Learning Federated Learning information

See Frederick, MD salary details

$25.4K

$42.3K

$87.5K

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

As of Jul 27, 2026, the average yearly pay for research machine learning federated learning in Frederick, MD is $42,340.00, 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 are the key skills and qualifications needed to thrive as a Researcher in Machine Learning Federated Learning, and why are they important?

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 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 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 Frederick, MD? For Research Machine Learning Federated Learning jobs in Frederick, MD, the most frequently searched job titles are:
What job categories do people searching Research Machine Learning Federated Learning jobs in Frederick, MD look for? The top searched job categories for Research Machine Learning Federated Learning jobs in Frederick, MD are:
What cities near Frederick, MD are hiring for Research Machine Learning Federated Learning jobs? Cities near Frederick, MD with the most Research Machine Learning Federated Learning job openings:
Research Machine Learning Federated Learning jobs near you
Agentic AI Scientist

Agentic AI Scientist

AstraZeneca

Gaithersburg, MD • On-site

Part-time

Posted 6 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

19th of 86 rated pharmaceutical

Job description

Are you a driven Data Scientist with a robust foundation in traditional data science methods and a passion for Agentic AI, and human-in-the-loop (HITL) multi-agent systems? If so, an exciting opportunity awaits you at AstraZeneca!
We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments. PT&D leads the charge in developing cutting-edge synthetic routes, drug formulations and delivery technologies, ensuring our products are effective, safe, and of the highest quality.
Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems.
We are hiring two candidates for this position, and the roles will be based at our dynamic site in Durham (USA).
Work Modality: Hybrid (3 days office and 2 remote)
Accountabilities:
  • Drive innovation in agentic AI, multi-agent systems, and digital twins, exploring new methodologies and applications.
  • Design, implement, and optimize algorithms for autonomous decision-making, coordination, and policy learning among agents and digital twins using techniques like Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), and multi-agent reinforcement learning (MARL).
  • Evaluate agent performance in the context of decision making, collaboration, competition, uncertainty.
  • Collaborate with cross-functional teams ensuring knowledge transfer to IT engineering teams for IT solution builds and deployment.
  • Keep pace with industry advancements by reviewing academic papers and attending conferences. Publish findings in peer-reviewed journals and represent the company at scientific forums.
  • Communicate technical concepts and results to technical and non-technical audiences.

Essential skills/Experience:
  • PhD in computer science, data science, artificial intelligence, machine learning or related fields.
  • At least 3 years of experience in Deep Learning and ML
  • Excellent coding skills in languages such as Python, R.
  • Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning.
  • Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch,
  • Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI
  • Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines.
  • Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI.

Desirable skills/experience:
  • Contributions to open-source projects. If you meet these criteria, please highlight merged GitHub PRs in your application.
  • Strong publication record in the field of AI.
  • Experience designing multi-agent systems in the pharmaceutical sector.
  • Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry.
  • Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
AstraZeneca is a place where change is embraced, and new solutions are trialed with patients and business in mind. Here, technology is a key lever for delivering medicines quickly, affordably, and sustainably. Our diverse workforce is united by curiosity, sharing learnings to scale fast. Be part of a digitally-enabled environment that impacts all parts of the business-from robotic process automation to machine learning for quality batches-while contributing to society and the planet.
Ready to make a difference? Apply now to join our team!
Date Posted
09-jul-2026
Closing Date
08-jul-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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