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Privacy Preserving Machine Learning Jobs in Cambridge, MA

Axon

Privacy & AI Counsel

Boston, MA

From body-worn cameras and SaaS platforms to machine learning models and global privacy frameworks, you'll play a critical role in answering complex questions in highly regulated markets around the ...

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$190K - $230K/yr

Ensure models adhere to WHOOP's standards for ethical, transparent, and privacy-preserving AI. QUALIFICATIONS: * Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Electrical ...

Vrtx

Director, AI Governance & Policy

Boston, MA · On-site

This role will lead the governance of generative AI, agentic AI, machine learning, and AI-enabled ... Partner with Legal, Privacy, Compliance, Quality, Information Security, Data Governance, and Data ...

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Showing results 21-40

All JobsPrivacy Preserving Machine Learning JobsPrivacy Preserving Machine Learning Jobs in Cambridge, MA

Privacy Preserving Machine Learning information

See Cambridge, MA salary details

$108.8K

$126.2K

$141.5K

How much do privacy preserving machine learning jobs pay per year?

As of Sep 1, 2026, the average yearly pay for privacy preserving machine learning in Cambridge, MA is $126,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $141,000.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a privacy preserving machine learning engineer?

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 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 Cambridge, MA?

For Privacy Preserving Machine Learning jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Privacy Preserving Machine Learning jobs in Cambridge, MA look for?

The top searched job categories for Privacy Preserving Machine Learning jobs in Cambridge, MA are:

What cities near Cambridge, MA are hiring for Privacy Preserving Machine Learning jobs?

Cities near Cambridge, MA 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 Cambridge, MA as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $126,244 per year, or $60.7 per hour.

Machine Learning Engineer - Hybrid

XPO

Boston, MA • On-site

$100K - $120K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 11 days ago

XPO rating

6.9

Company rating: 6.9 out of 10

Based on 224 frontline employees who took The Breakroom Quiz

233rd of 366 rated logistics

Job description

What you’ll need to succeed as a Machine Learning Engineer at XPO

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent related work or military experience
  • 1 year of experience in software or machine learning engineering, including hands-on experience building data pipelines, ML infrastructure, or MLOps tooling
  • Experience developing data preparation, validation, or quality-checking tooling for machine learning pipelines
  • Proficiency in Python and SQL
  • Experience with cloud data or ML platforms (e.g., AWS, GCP, BigQuery)
  • Strong collaboration skills, with experience partnering with data science/applied science teams and data engineering teams

Preferred qualifications:

  • Master's degree in Computer Science or related field
  • 3+ years of experience building ML infrastructure for training, evaluation, and deployment at scale
  • Experience building and maintaining CI/CD pipelines for machine learning models
  • Experience with model serving and inference infrastructure (batch and real-time)
  • Experience implementing model monitoring, drift detection, and feedback-loop tooling
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Experience partnering with data engineering teams on data pipeline reliability and access

 

About the Machine Learning Engineer job

Pay, benefits and more:

  • Competitive compensation package 
  • Full health insurance benefits available on day one 
  • Life and disability insurance 
  • Earn up to 15 days of PTO over your first year  
  • 9 paid company holidays 
  • 401(k) option with company match 
  • Education assistance 
  • Opportunity to participate in a company incentive plan

What you’ll do on a typical day:

  • Build and maintain data preparation and validation tooling to ensure high-quality inputs for ML and optimization models
  • Design and implement ML infrastructure for model training, evaluation, and deployment
  • Build and maintain CI/CD pipelines for machine learning models, including automated testing and validation
  • Implement model monitoring, drift detection, and feedback loops to track model performance in production
  • Partner with applied and data scientists to productionize models and streamline the path from experimentation to deployment
  • Collaborate with data engineering teams to ensure reliable, accessible data pipelines
  • Contribute to shared MLOps tooling and best practices across the AI/ML organization

Annual Salary Range: $100,000 to $120,000 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.

About XPO

XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO. 

We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. 

The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. 

Review XPO's candidate privacy statement here.

What XPO employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About XPO

Sourced by ZipRecruiter

Founded in Greenwich, Connecticut, XPO Logistics, Inc., operating under the brand name XPO, is a one of the leading companies in the transportation and logistics sector. Operating its services in 30 countries, the company employs the use of ground-breaking technology in providing a broad suite of logistics services including supply chain management, freight brokerage, last mile logistics, and intermodal and drayage transportation. XPO's impressive history dates back to 2011 and within its relatively short existence, it has made a series of acquisitions to consolidate its top-notch range of services. Their mission is to provide outstanding results to customers by envisioning and implementing significant advancements in freight transportation and logistics.

Industry

Import-export

Company size

10,000+ Employees

Headquarters location

Greenwich, CT, US

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