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Privacy Preserving Machine Learning Jobs in Newark, NJ

AvePoint

Senior Machine Learning Engineer

New York, NY · On-site

$190K - $220K/yr

Ensure data security, privacy, and compliance with relevant regulations. * Scalability and ... Strong proficiency in AI technologies, machine learning, and deep learning frameworks. * Previous ...

AvePoint

Senior Machine Learning Engineer

New York, NY

$190K - $220K/yr

Ensure data security, privacy, and compliance with relevant regulations. * Scalability and ... Strong proficiency in AI technologies, machine learning, and deep learning frameworks. * Previous ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and ... Privacy Policy. Attentive Company Values Default to Action - Move swiftly and with purpose Be One ...

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All JobsPrivacy Preserving Machine Learning JobsPrivacy Preserving Machine Learning Jobs in Newark, NJ

Privacy Preserving Machine Learning information

See Newark, NJ salary details

$104K

$120.8K

$135.4K

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 Newark, NJ is $120,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $134,900.00 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?

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 Newark, NJ? For Privacy Preserving Machine Learning jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Privacy Preserving Machine Learning jobs in Newark, NJ look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Privacy Preserving Machine Learning jobs? Cities near Newark, NJ 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 Newark, NJ as of June 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $120,786 per year, or $58.1 per hour.

Staff Software Engineer - Identity and Privacy

Ro

New York, NY • On-site

$211K - $292K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Job description

Join Tech @ Ro to build the future of healthcare, from the ground up!
At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn't built to do that. It was built to bill, not to serve patients.
We're building a new system. One where the patient is in control. One designed from scratch for the digital age.
At Ro, technology isn't just a function... It's core to how we deliver care. We've built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients.
...and we're just getting started.
As part of Tech @ Ro, you'll work on systems that operate at scale, with an opportunity to:
  • Solve complex, high-concurrency problems across a full-stack platform
  • Build and ship quickly with tight feedback loops and real-world impact
  • Own systems end-to-end, from architecture to production performance
  • Work alongside experienced operators, technical leaders, and clinicians
  • Help define how modern healthcare should be delivered

We're a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart - because patients depend on it.
If you're motivated by impact, scale, and the chance to help lead the patient revolution, come build with us.
The Role
As a Staff Software Engineer on Ro's Identity and Privacy team, you will build and scale systems that support secure user identity and privacy-first data practices. This includes authentication, user lifecycle management, consent, and data governance-ensuring Ro's technical foundation supports both patient trust and business growth.
You will design, build, and maintain systems that manage customer identity, data preferences, attribution, and event-driven data flows. This work requires strong expertise in distributed systems, event pipelines, and privacy-preserving architectures. You'll work in a highly cross-functional environment, partnering with security, legal, marketing, and data teams to define solutions that balance compliance, security, and high-quality patient experiences.
What You'll Do
  • Build and maintain privacy-first, distributed data systems and consent management systems that comply with consumer privacy regulations.
  • Design and operate high-throughput, event-driven architectures (e.g., Kafka, streaming systems) for collection, processing, and distribution of first-party data.
  • Contribute to authentication and identity systems, including user lifecycle management, access controls, and multi-factor authentication.
  • Architect and scale asynchronous data pipelines and event processing systems for real-time and batch use cases.
  • Partner with marketing and growth teams to enable privacy-compliant advertising, CRM, and analytics workflows.
  • Implement privacy-preserving techniques (e.g., anonymization, tokenization, minimization) and ensure compliant data flows to third-party platforms.
  • Collaborate with security and legal teams to enforce data governance, retention, and compliance policies.

What You'll Bring to the Team
  • 8+ years of software engineering experience (2+ years at Staff or above level) with a focus on distributed systems, data infrastructure, privacy, or security.
  • Strong proficiency in Python and experience building scalable, production-grade systems.
  • Deep experience with distributed systems, including streaming platforms (e.g., Kafka), event-driven architectures, and asynchronous processing.
  • Experience designing and operating data pipelines, eventing systems, and first-party data platforms.
  • Familiarity with authentication and identity systems (e.g., OAuth, session management, MFA, user lifecycle management).
  • Experience using agentic coding tools to improve development velocity, reduce workflow friction, automate repetitive tasks, and increase system visibility-while maintaining strong engineering judgment and ownership of outcomes.
  • Experience in regulated environments and strong ownership in driving complex, cross-functional technical initiatives.

We've Got You Covered
  • Full medical, dental, and vision insurance + OneMedical membership
  • Healthcare and Dependent Care FSA
  • 401(k) with company match
  • Flexible PTO
  • Wellbeing + Learning & Growth reimbursements
  • Paid parental leave + Fertility benefits
  • Pet insurance
  • Student loan refinancing
  • Virtual resources for mindfulness, counseling, and fitness

The target base salary for this position ranges from $211,700 to $292,000, in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary.
Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents-earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide.
At Ro, we believe that our diverse perspectives are our biggest strengths - and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law.
Ro is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and interview process. If you require a reasonable accommodation in the application or interview process, please contact us at [email protected].
See our California Privacy Policy here.
We may use automated tools, including artificial intelligence (AI), to assist with parts of our recruiting and hiring process, such as reviewing applications, evaluating resumes, and assessing responses or job-related qualifications. These tools are used to support our recruitment team and do not replace human judgment. Final hiring decisions are made by humans.

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