Preferred : • Prior experience helping a US-based tech company launch products in the European Economic Area (EEA) or UK. • Familiarity with privacy-preserving machine learning techniques, such ...
Preferred : • Prior experience helping a US-based tech company launch products in the European Economic Area (EEA) or UK. • Familiarity with privacy-preserving machine learning techniques, such ...
Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption. * Experience building first-class user facing products.
Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption. * Experience building first-class user facing products.
Senior Research Scientist, Machine Learning
Wilmington, MA · On-site
$138K - $205K/yr
DE in privacy preserving machine learning including adversarial robustness, and differential privacy. Contact: Eligible for employee referral program. Apply online at and Reference Position Number:
Senior Research Scientist, Machine Learning
Wilmington, MA · On-site
$138K - $205K/yr
DE in privacy preserving machine learning including adversarial robustness, and differential privacy. Contact: Eligible for employee referral program. Apply online at and Reference Position Number:
Machine Learning Engineers
$194K - $355K/yr
Company Name: Tiktok Senior Research Engineer, Machine Learning Privacy San Jose Regular R D ... privacy-preserving technology for large language models (LLM) or foundation models, privacy ...
Machine Learning Engineers
$194K - $355K/yr
Company Name: Tiktok Senior Research Engineer, Machine Learning Privacy San Jose Regular R D ... privacy-preserving technology for large language models (LLM) or foundation models, privacy ...
Senior Research Scientist, Machine Learning
$138K - $205K/yr
DE in privacy preserving machine learning including adversarial robustness, and differential privacy. Contact: Eligible for employee referral program. Apply online at and Reference Position Number:
Senior Research Scientist, Machine Learning
$138K - $205K/yr
DE in privacy preserving machine learning including adversarial robustness, and differential privacy. Contact: Eligible for employee referral program. Apply online at and Reference Position Number:
Postdoctoral Research Associate - Privacy Preserved Federated Learning Algorithms
Oak Ridge, TN · On-site
You will advance privacy-preserving machine learning by developing efficient techniques that maintain robust privacy guarantees while minimizing performance impact. Additionally, you will optimize ...
Postdoctoral Research Associate - Privacy Preserved Federated Learning Algorithms
Oak Ridge, TN · On-site
You will advance privacy-preserving machine learning by developing efficient techniques that maintain robust privacy guarantees while minimizing performance impact. Additionally, you will optimize ...
... of privacy-preserving machine learning techniques. Company : OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the ...
... of privacy-preserving machine learning techniques. Company : OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the ...
Postdoctoral Research Associate - Privacy Preserved Federated Learning Algorithms
Oak Ridge, TN · On-site
You will advance privacy-preserving machine learning by developing efficient techniques that maintain robust privacy guarantees while minimizing performance impact. Additionally, you will optimize ...
Postdoctoral Research Associate - Privacy Preserved Federated Learning Algorithms
Oak Ridge, TN · On-site
You will advance privacy-preserving machine learning by developing efficient techniques that maintain robust privacy guarantees while minimizing performance impact. Additionally, you will optimize ...
As the Head of AI & Machine Learning, you will lead the development of transformative AI systems ... Design privacy-preserving AI systems to protect sensitive data while enabling personalization.
As the Head of AI & Machine Learning, you will lead the development of transformative AI systems ... Design privacy-preserving AI systems to protect sensitive data while enabling personalization.
You'll architect privacy-preserving systems, lead the implementation of privacy-enhancing ... Experience building privacy infrastructure or controls for machine learning or AI systems
You'll architect privacy-preserving systems, lead the implementation of privacy-enhancing ... Experience building privacy infrastructure or controls for machine learning or AI systems
Design and implement privacy-preserving architectures for AI training and inference systems ... Experience building privacy infrastructure or controls for machine learning or AI systems
Design and implement privacy-preserving architectures for AI training and inference systems ... Experience building privacy infrastructure or controls for machine learning or AI systems
Senior Privacy Engineer, Intelligence (User Privacy)
Cupertino, CA · On-site
$124K - $159K/yr
... machine learning and generative AI infrastructure. This includes feature reviews and the design of new, privacy preserving data collection methodologies to enable the evaluation of AI systems. It ...
Senior Privacy Engineer, Intelligence (User Privacy)
Cupertino, CA · On-site
$124K - $159K/yr
... machine learning and generative AI infrastructure. This includes feature reviews and the design of new, privacy preserving data collection methodologies to enable the evaluation of AI systems. It ...
Senior Machine Learning Engineer
Seattle, WA · Hybrid
$139K - $183K/yr
Reports to: Manager, Machine Learning Engineering * Collaborate with scientists and product ... Architect and develop secure, privacy-preserving, solutions to enable the continuous improvement of ...
Senior Machine Learning Engineer
Seattle, WA · Hybrid
$139K - $183K/yr
Reports to: Manager, Machine Learning Engineering * Collaborate with scientists and product ... Architect and develop secure, privacy-preserving, solutions to enable the continuous improvement of ...
Sr. Machine Learning Engineer
Santa Clara, CA · On-site
$143K - $189K/yr
... secure, and privacy-preserving experiences, simultaneously delivering Apple-level design and ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...
Sr. Machine Learning Engineer
Santa Clara, CA · On-site
$143K - $189K/yr
... secure, and privacy-preserving experiences, simultaneously delivering Apple-level design and ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...
Staff Software Engineer, Privacy
Mountain View, CA · On-site
$251K - $310K/yr
Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption. * Experience building first-class user facing products.
Staff Software Engineer, Privacy
Mountain View, CA · On-site
$251K - $310K/yr
Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption. * Experience building first-class user facing products.
Senior Machine Learning Engineer - System Experience Personalization
San Francisco, CA · On-site
$144K - $190K/yr
Our team is part the core iOS experience, using privacy preserving on-device intelligence to drive ... S. or PhD in Machine Learning, Computer Science or related field. 5+ Years of proven experience ...
Senior Machine Learning Engineer - System Experience Personalization
San Francisco, CA · On-site
$144K - $190K/yr
Our team is part the core iOS experience, using privacy preserving on-device intelligence to drive ... S. or PhD in Machine Learning, Computer Science or related field. 5+ Years of proven experience ...
... privacy-preserving machine learning Your scientific leadership will be crucial in defining and solving complex AI problems that will shape the future of work for years to come, working across ...
... privacy-preserving machine learning Your scientific leadership will be crucial in defining and solving complex AI problems that will shape the future of work for years to come, working across ...
Staff+ Software Engineer, Privacy
San Francisco, CA · On-site
$405K - $485K/yr
Design and implement privacy-preserving architectures for AI training and inference systems ... Experience building privacy infrastructure or controls for machine learning or AI systems
Staff+ Software Engineer, Privacy
San Francisco, CA · On-site
$405K - $485K/yr
Design and implement privacy-preserving architectures for AI training and inference systems ... Experience building privacy infrastructure or controls for machine learning or AI systems
... privacy-preserving machine learning Your scientific leadership will be crucial in defining and solving complex AI problems that will shape the future of work for years to come, working across ...
... privacy-preserving machine learning Your scientific leadership will be crucial in defining and solving complex AI problems that will shape the future of work for years to come, working across ...
Machine Learning Research Scientist
San Francisco, CA · On-site
$120K - $300K/yr
Develop privacy-preserving cross-organizational learning using federated learning and differential ... Must-have Requirements * 5+ years building novel systems in machine learning, NLP, knowledge graphs ...
Machine Learning Research Scientist
San Francisco, CA · On-site
$120K - $300K/yr
Develop privacy-preserving cross-organizational learning using federated learning and differential ... Must-have Requirements * 5+ years building novel systems in machine learning, NLP, knowledge graphs ...
Privacy Preserving Machine Learning information
See salary details
$100.7K is the 25th percentile. Wages below this are outliers.
$99.5K - $102.2K
56% of jobs
$102.2K - $105K
0% of jobs
$105K - $107.7K
0% of jobs
$107.7K - $110.4K
0% of jobs
$110.4K - $113.1K
0% of jobs
$113.1K - $115.9K
0% of jobs
$115.9K - $118.6K
0% of jobs
$118.6K - $121.3K
0% of jobs
$121.3K - $124K
0% of jobs
$124K - $126.8K
0% of jobs
$127.9K is the 75th percentile. Wages above this are outliers.
$126.8K - $129.5K
44% of jobs
$99.5K
$115.5K
$129.5K
How much do privacy preserving machine learning jobs pay per year?
As of Aug 12, 2026, the average yearly pay for privacy preserving machine learning in the United States is $115,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $129,000.00 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?
| Aspect | Privacy Preserving Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires knowledge of machine learning, data privacy, and security certifications | Requires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common |
| Work Environment | Works in research, development, and implementation of privacy-focused ML models, often in tech or finance sectors | Analyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare |
| Employer & Industry Usage | Used by organizations prioritizing data privacy, such as healthcare, finance, and tech companies | Employed 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?
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 cities are hiring for Privacy Preserving Machine Learning jobs? Cities with the most Privacy Preserving Machine Learning job openings:
What states have the most Privacy Preserving Machine Learning jobs? States with the most job openings for Privacy Preserving Machine Learning jobs include:
What job categories do people searching Privacy Preserving Machine Learning jobs look for? The top searched job categories for Privacy Preserving Machine Learning jobs are:
Job description
Job Summary:
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. They are seeking a Privacy Engineer to lead the design and implementation of global privacy systems, ensuring compliance with GDPR while developing data handling systems and privacy infrastructure for their autonomous vehicles.
Responsibilities:
• Architect for EU Compliance: Design and build data handling systems that satisfy strict GDPR requirements, "Right to be Forgotten" automation, and consent management frameworks for European riders.
• Sensor Data Anonymization: Develop and optimize computer vision and ML pipelines to automatically detect and blur faces, license plates, and other PII from camera/Lidar data at the edge (on-vehicle) and in the cloud before it enters our training sets.
• Privacy Infrastructure: Write scalable code (C++/Java/Kotlin) to enforce retention policies, access controls, and data minimization across Waymo’s distributed infrastructure.
• Partner with Waymo’s Legal and Policy teams to translate complex regulatory texts (e.g., the EU Data & AI Act) into concrete engineering specifications and system requirements.
• Threat Modeling: Conduct privacy impact assessments (PIA) and threat modeling for new features, specifically focusing on cross-border data transfer risks and third-party vendor integration.
Qualifications:
Required:
• BS degree in Computer Science, or a related technical field, or equivalent practical experience.
• 8+ years of experience in software engineering with a focus on privacy, security, or data infrastructure.
• Proficiency in one or more general-purpose programming languages (e.g., Python, C++, Java).
• Deep understanding of GDPR.
• Experience working with large-scale data processing frameworks (e.g., Flume, MapReduce, etc..) and cloud infrastructure.
Preferred:
• Prior experience helping a US-based tech company launch products in the European Economic Area (EEA) or UK.
• Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption.
• Experience building first-class user facing products.
Company:
Waymo is a mobility technology company that improves transportation by developing self-driving solutions for travelers and daily commuters. It is a sub-organization of Alphabet. Founded in 2009, the company is headquartered in Mountain View, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. They are seeking a Privacy Engineer to lead the design and implementation of global privacy systems, ensuring compliance with GDPR while developing data handling systems and privacy infrastructure for their autonomous vehicles.
Responsibilities:
• Architect for EU Compliance: Design and build data handling systems that satisfy strict GDPR requirements, "Right to be Forgotten" automation, and consent management frameworks for European riders.
• Sensor Data Anonymization: Develop and optimize computer vision and ML pipelines to automatically detect and blur faces, license plates, and other PII from camera/Lidar data at the edge (on-vehicle) and in the cloud before it enters our training sets.
• Privacy Infrastructure: Write scalable code (C++/Java/Kotlin) to enforce retention policies, access controls, and data minimization across Waymo’s distributed infrastructure.
• Partner with Waymo’s Legal and Policy teams to translate complex regulatory texts (e.g., the EU Data & AI Act) into concrete engineering specifications and system requirements.
• Threat Modeling: Conduct privacy impact assessments (PIA) and threat modeling for new features, specifically focusing on cross-border data transfer risks and third-party vendor integration.
Qualifications:
Required:
• BS degree in Computer Science, or a related technical field, or equivalent practical experience.
• 8+ years of experience in software engineering with a focus on privacy, security, or data infrastructure.
• Proficiency in one or more general-purpose programming languages (e.g., Python, C++, Java).
• Deep understanding of GDPR.
• Experience working with large-scale data processing frameworks (e.g., Flume, MapReduce, etc..) and cloud infrastructure.
Preferred:
• Prior experience helping a US-based tech company launch products in the European Economic Area (EEA) or UK.
• Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption.
• Experience building first-class user facing products.
Company:
Waymo is a mobility technology company that improves transportation by developing self-driving solutions for travelers and daily commuters. It is a sub-organization of Alphabet. Founded in 2009, the company is headquartered in Mountain View, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About Waymo
Sourced by ZipRecruiter
Industry
Internet and it
Company size
1,001 - 5,000 Employees
Headquarters location
Mountain View, CA, US
Year founded
2009