ZipRecruiter

Log In

1

Research Machine Learning Federated Learning Jobs in Massachusetts

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 ...

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 ...

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.

Bayer

$128K - $192K/yr

Principal Machine Learning Scientist The Principal Machine Learning Scientist will develop novel ... R&D leadership) on the state of technology and the progress of key internal initiatives. Engage ...

previous pagenext page

Showing results 21-40

All JobsResearch Machine Learning Federated Learning JobsResearch Machine Learning Federated Learning Jobs in Massachusetts

Research Machine Learning Federated Learning information

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

Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Re-posted 20 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

80th of 617 rated colleges and universities

Job description

Position
Details
Title
Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Research Fellow position in statistics, genetics, and biomedical AI. The lab develops cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and computational challenges arising in precision medicine, mental health, and biomedical informatics.
The postdoctoral fellow will contribute to projects focused on:
  • Foundation and representation learning for multimodal biomedical data, including electronic health records (EHRs), genomics, imaging, and clinical text to power next-generation precision medicine.
  • Statistical and computational genomics across diverse populations and biobanks for risk prediction, genetic discovery, and genomic medicine.
  • Federated and transfer learning for distributed and privacy-preserving data integration.
  • AI and Deep learning approaches to high-dimensional and multi-modal biomedical data.
  • Causal Inference, Fairness, and Trustworthy AI in real-world healthcare applications.

Our group actively collaborates with large national and international initiatives, including Mass General Brigham, Penn Medicine, Cambridge Health Alliance, PsycheMERGE Network, PCORnet, and OHDSI, providing unique opportunities to work with massive EHR-genomic datasets and multi-site real-world evidence networks.
Basic Qualifications
  • Ph.D. in Statistics, Biostatistics, Computer Science, Statistical Genetics, or a related quantitative field (by the time of appointment).
  • Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis.
  • Proficiency in R or Python; experience with deep learning, causal inference, or genetic data analysis is not required but encouraged.
  • Excellent written and verbal communication skills.

Additional Qualifications
Special Instructions
The position is available immediately. The initial appointment is for one year, renewable based on performance and funding. Salary and benefits follow NIH and Harvard guidelines.
Interested applicants should submit a CV, cover letter, and contact information for three references to Dr. Rui Duan (rduan@hsph.harvard.edu). Review of applications will begin immediately and continue until the position is filled.
Contact Information
Rui Duan, Associate Professor, Department of Biostatistics
Contact Email
rduan@hsph.harvard.edu
Salary Range
$75,000
Minimum Number of References Required
3
Maximum Number of References Allowed
Keywords
biostatistics; AI; biomedical informatics; statistics; genetics

What Harvard University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply