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Privacy Preserving Machine Learning Jobs in Massachusetts

Autodesk

Machine Learning Engineering Manager

Boston, MA

$148.50K - $266.20K/yr

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team ... You will also ensure that we maintain privacy and security standards respecting and safeguarding ...

Autodesk

Machine Learning Engineering Manager

Boston, MA · On-site

$148.50K - $266.20K/yr

You will also ensure that we maintain privacy and security standards respecting and safeguarding ... MS in Machine Learning, Mathematics, Statistics, Computer Science, or a related field * 5+ years of ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133.10K - $175.50K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... privacy and security compliance. * Research & Development: Stay up-to-date with the latest ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133.10K - $175.50K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... privacy and security compliance. * Research & Development: Stay up-to-date with the latest ...

WHOOP

Senior AI Researcher (Foundation AI)

Boston, MA · On-site

... privacy-preserving AI. Qualifications : Required : • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent ...

Chewy

Staff Machine Learning Engineer

Boston, MA

$186.50K - $297.50K/yr

Machine learning and deep-learning models will influence selection, relevance, ranking, click ... To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job ...

WHOOP

Senior AI Researcher (Foundation AI)

Boston, MA · On-site

... privacy-preserving AI. Qualifications : Required : • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent ...

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Privacy Preserving Machine Learning information

What are the key skills and qualifications needed to thrive as a Privacy Preserving Machine Learning Engineer, and why are they important?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.

What are some common challenges faced by professionals working in Privacy Preserving Machine Learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Privacy Preserving Machine Learning jobs in Massachusetts? For Privacy Preserving Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Privacy Preserving Machine Learning jobs in Massachusetts look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Privacy Preserving Machine Learning jobs? Cities in Massachusetts with the most Privacy Preserving Machine Learning job openings:
Privacy Preserving Machine Learning jobs near you
Infographic showing various Privacy Preserving Machine Learning job openings in Massachusetts as of May 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 94% In-person, and 6% Remote job distribution.
Senior Research Scientist, Machine Learning

Senior Research Scientist, Machine Learning

Analog Devices

Wilmington, MA • On-site

$138.73K - $205.20K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Analog Devices rating

8.5

Company rating: 8.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

21st of 137 rated electronics manufacturers

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 at www.analog.com and on LinkedIn and Twitter (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: Experienced
Required Travel: No
Shift 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.

What Analog Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Analog Devices logo

About Analog Devices

Sourced by ZipRecruiter

Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Norwood, MA, US

Year founded

1965

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