ZipRecruiter

Log In

1

Privacy Preserving Machine Learning Jobs in Boston, MA

GE Aerospace

Software Engineer AI/ML

Lynn, MA

$117K - $141K/yr

... machine learning pipelines, models, and LLM-powered applications. This is a multi-faceted ... LIME), privacy-preserving techniques, and compliance with enterprise AI governance policies ...

Whoop

Staff AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$215K - $260K/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 ...

Cisco

Principal Machine Learning Engineer

Boston, MA · On-site

$291K - $369K/yr

... preserving accuracy. * MLOps & Continuous Learning - Fluency in automated retraining, drift ... detection, incremental updates, and production monitoring of ML models. * Strong Research Track ...

Whoop

Staff AI/ML Researcher (Foundation AI)

Boston, MA

$215K - $260K/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 ...

Whoop

Staff AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$215K - $260K/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 ...

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA

$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 ...

next page

Showing results 1-20

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

Privacy Preserving Machine Learning information

See Boston, MA salary details

$108.1K

$125.5K

$140.7K

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

As of Jun 13, 2026, the average yearly pay for privacy preserving machine learning in Boston, MA is $125,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $140,100.00 per year, depending on experience, location, and employer.

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 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, 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 popular job titles related to Privacy Preserving Machine Learning jobs in Boston, MA? For Privacy Preserving Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Privacy Preserving Machine Learning jobs in Boston, MA look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Boston, MA are:
What cities near Boston, MA are hiring for Privacy Preserving Machine Learning jobs? Cities near Boston, MA with the most Privacy Preserving Machine Learning job openings:
Privacy Preserving Machine Learning jobs near you
Staff AI/ML Researcher (Foundation AI)

Staff AI/ML Researcher (Foundation AI)

WHOOP

Boston, MA • On-site

Full-time

Posted 3 days ago

Job description

Job Summary:
WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. We are seeking a Staff AI/ML Researcher to join our Foundation AI team, responsible for driving the research, development, and deployment of large-scale multimodal models that enhance intelligent, personalized health experiences.
Responsibilities:
• Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data.
• Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities.
• Develop scalable, distributed training pipelines for large models on high-performance compute environments.
• Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability.
• Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value.
• Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP.
• Serve as a technical mentor for other data scientists, sharing best practices in deep learning, large-scale training, and multimodal data integration.
• Ensure models adhere to WHOOP’s standards for ethical, transparent, and 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 professional experience.
• 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems.
• Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training.
• Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience building and scaling large datasets and training large models in multi-node, multi-GPU distributed compute environments.
• Familiarity with best practices for data, model, and context parallelisms.
• Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications.
• Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.).
• Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute.
• Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams.
• Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology.
• This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Company:
WHOOP provides wearable fitness technology and a subscription platform that tracks physiological data for health and performance insights. Founded in 2012, the company is headquartered in Boston, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Whoop logo

About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

View All Whoop Jobs

Apply