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Research Machine Learning Federated Learning Jobs in Washington

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 ... You will collaborate closely with researchers, software engineers, red teamers, and subject-matter ...

Stay current with the latest research and advancements in machine learning and AI. * Participate in code reviews, team meetings, and contribute to a collaborative development environment. * Document ...

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... You will collaborate closely with researchers, software engineers, red teamers, and subject-matter ...

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

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Research Machine Learning Federated Learning information

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 Washington? For Research Machine Learning Federated Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Research Machine Learning Federated Learning jobs in Washington look for? The top searched job categories for Research Machine Learning Federated Learning jobs in Washington are:
What cities in Washington are hiring for Research Machine Learning Federated Learning jobs? Cities in Washington with the most Research Machine Learning Federated Learning job openings:
Artificial Intelligence / Machine Learning Research and Development Engineer

Artificial Intelligence / Machine Learning Research and Development Engineer

The Pennsylvania State University

Reston, VA • On-site

$76K - $129K/yr

Full-time

Posted 25 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS:

The Cyber Innovation, Analytics, and Operations Department within the Information Advantage Office (IAO) at the Applied Research Laboratory (ARL) at Penn State is looking for talented, experienced, and highly motivated Data Scientists to assist in providing its customers with state-of-the-art solutions. In this position you will research, develop, and deliver algorithmic, machine learning, and artificial intelligence based approaches to solve complex sponsor problems.

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

You will:

  • Design, develop, and research machine learning systems, models, and schemes
  • Study, transform, and apply state-of-the-art machine learning prototypes to sponsor specific domains collection and data modeling
  • Visualize data for deeper insights
  • Generate and present technical research reports and briefings
  • Performing statistical analysis in support of pattern of life and anomaly detection
  • Build high quality software prototypes integrated with our various research and pre-production software environments

The selected candidates will assume a technical role and will interact with other ARL staff and sponsors, spending a majority of the time working in a classified environment in Annapolis Junction, MD, State College, PA or Reston, VA. Periodic travel to sponsor sites may be required.

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

This position can be filled at multiple levels, depending upon your education and experience. Minimally requires a Bachelor's degree in an Engineering or Science discipline. Additional experience and/or education are required for higher level jobs. A Master's degree is preferred.

Additional responsibilities of higher level positions include:

  • Supervise the work of lower level staff and undergraduate student
  • Perform tasks of a larger scope and lead specific tasks within the project scope

    Experience in the following is required:

    • Data science/algorithm development
    • Data science / Machine Learning languages, to include Python
    • Research, development, and implementation of machine learning models

    Experience in the following is preferred:

    • Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based
    • Statistics, linear algebra, and data structures
    • Exploratory data analysis and visualization
    • Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, SQL, FastAPI
    • Software Development tools to include Git, Docker, Kubernetes, SSH
    • Active TS/SCI Clearance

    ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.

    You will be subject to a government security investigation, and you must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.

    **The proposed salary range may be impacted by geographic differential.**

    The salary range for this position, including all possible grades is:

    $76,700.00 - $129,500.00

    Salary Structure - additional information on Penn State's job and salary structure.

    CAMPUS SECURITY CRIME STATISTICS:

    Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

    Employment with the University will require successful completion of background check(s) in accordance with University policies.

    EEO IS THE LAW

    Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

    Federal Contractors Labor Law Poster

    PA State Labor Law Poster

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    Copyright Information

    Hotlines

    University Park, PA

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    About Pennsylvania State University

    Sourced by ZipRecruiter

    Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

    Industry

    Education

    Company size

    11 - 50 Employees

    Headquarters location

    University Park, PA, US

    Year founded

    1855

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