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Research Machine Learning Federated Learning Jobs in Brookline, MA

Neurable, INC

Machine Learning

Cambridge, MA

We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would like to advance our current methods of identifying brain activity, using novel machine learning ...

Suno

Machine Learning Scientist

Boston, MA · On-site

... research team. The role involves ownership of technical decisions for building and deploying ... machine learning models, requiring a strong background in data engineering and model training.

STR

Lead Research Scientist - Machine Learning

Woburn, MA · On-site

$174K - $220K/yr

The Role As a Lead Research Scientist at STR, you will help develop disruptive technologies focused ... Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ...

STR

Lead Research Scientist - Machine Learning

Boston, MA

$174K - $220K/yr

The Role As a Lead Research Scientist at STR, you will help develop disruptive technologies focused ... Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of ... Stay current on research and apply state-of-the-art techniques in autonomy and perception.

STR

Lead Research Scientist - Machine Learning

Woburn, MA · On-site

$174K - $220K/yr

The Role As a Lead Research Scientist at STR, you will help develop disruptive technologies focused ... Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ...

Autodesk

Senior Machine Learning Test Engineer

Boston, MA · On-site +1

$120K - $155K/yr

United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning developers and ...

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All JobsResearch Machine Learning Federated Learning JobsResearch Machine Learning Federated Learning Jobs in Brookline, MA

Research Machine Learning Federated Learning information

See Brookline, MA salary details

$27.6K

$46.1K

$95.2K

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

As of Aug 10, 2026, the average yearly pay for research machine learning federated learning in Brookline, MA is $46,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,200.00 and $49,800.00 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?

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 Brookline, MA? For Research Machine Learning Federated Learning jobs in Brookline, MA, the most frequently searched job titles are:
What cities near Brookline, MA are hiring for Research Machine Learning Federated Learning jobs? Cities near Brookline, MA with the most Research Machine Learning Federated Learning job openings:
Research Machine Learning Federated Learning jobs near you

Senior Research Scientist, Machine Learning

Analogdevices

Wilmington, MA

$138K - $205K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

About Analog Devices

Analog Devices, Inc. (NASDAQ:ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more atwww.analog.comand onLinkedInandTwitter (X).

Employer: Analog Devices, Inc.

Job Title: Senior Research Scientist, Machine Learning

Job Requisition: 1010.408.5 / R262487

Job Location: Wilmington, Massachusetts

Job Type: Full Time

Rate of Pay:$138,732 - $205,200 per year

Duties: Create novel algorithms specialized for applications, such as energy, healthcare, and robotics. Develop software simulations and analyze the performance of algorithms. Help with prototype systems, algorithms, and methods to prove their performance and practicality. Work with other researchers and engineers, inside and outside the Algorithmic Solutions Group, to connect our work with our mission statement. Stay abreast of state-of-the-art algorithms and research advances beyond the state of the art in areas relevant to Analog Devices.

Position is a telecommuting role and can be performed from anywhere in the U.S. Position reports to the headquarters.

Requirements: Must have a Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or closely related technical discipline (willing to accept foreign education equivalent) and two (2) years of experience in the job proffered or related occupation conducting machine learning research and engineering in Energy, Security, Communication, or Healthcare.

Must also possess the following (quantitative experience requirements not applicable to this section):

  • Demonstrated Expertise ("DE") in algorithm development using linear algebra, graph theory, probability, optimization, and statistics.
  • DE signal processing, deep learning and neural networks, and algorithms for inference and learning.
  • DE with architectures for implementation of algorithms on software or on edge platforms such as Micro-Controller Units.
  • DE in privacy preserving machine learning including adversarial robustness, and differential privacy.

Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R262487.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: ExperiencedRequired Travel: NoShift Type: 1st Shift/Days

  • Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

  • This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

  • This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

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