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Privacy Preserving Machine Learning Jobs in Minnesota

Privacy Specialist

Shakopee, MN · On-site

$88.70K - $105.30K/yr

AI and Machine Learning: Understanding of AI and machine learning models, with a focus on identifying and addressing privacy implications, data use limitations, and ethical considerations. * Working ...

We're looking for a Principal Machine Learning Engineer to build AI features for the family ... Ensure ethical standards and data privacy compliance in AI solutions. * Provide specialized AI/ML ...

We're looking for a Principal Machine Learning Engineer to build AI features for the family ... Ensure ethical standards and data privacy compliance in AI solutions. * Provide specialized AI/ML ...

Senior Data Scientist III

Minneapolis, MN · On-site

$115.40K - $192.30K/yr

You would apply machine learning and AI technologies to execute analytical and statistical projects ... Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified ...

Senior Data Scientist III

Minneapolis, MN · On-site

$115.40K - $192.30K/yr

You would apply machine learning and AI technologies to execute analytical and statistical projects ... Learn more about spotting and avoiding scams here Please read our Candidate Privacy Policy. We are ...

AI Data Engineer Senior Consultant

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

... machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and backfills • Implement privacy, access, quality, lineage, monitoring ...

Develop machine learning models, create model code, and work with internal or external stakeholders ... Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified ...

Data Scientist III

Minneapolis, MN · On-site

$78.80K - $131.30K/yr

Develop machine learning models, create model code, and work with internal or external stakeholders ... Learn more about spotting and avoiding scams here Please read our Candidate Privacy Policy. We are ...

AI and Data Science Engineer III

Minneapolis, MN · On-site +1

$119.50K - $143.50K/yr

... machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and backfills * Implement privacy, access, quality, lineage, monitoring ...

Data Scientist III

Minneapolis, MN · On-site

$78.80K - $131.30K/yr

Develop machine learning models, create model code, and work with internal or external stakeholders ... Learn more about spotting and avoiding scams here Please read our Candidate Privacy Policy. We are ...

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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 Minnesota? For Privacy Preserving Machine Learning jobs in Minnesota, the most frequently searched job titles are:
Infographic showing various Privacy Preserving Machine Learning job openings in Minnesota as of May 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Temporary. Highlights an 65% Physical, 6% Hybrid, and 29% Remote job distribution.
Senior Research Engineer, Cryptography & Security - Early Career

Senior Research Engineer, Cryptography & Security - Early Career

Seagate Technology

Shakopee, MN • On-site

$106K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

About our group:
Seagate is a global storage leader whose hard drives underpin the foundation of the data economy. Our research group's Data Trust vector brings together technical experts in cryptography, machine learning, and systems engineering to invent new ways of protecting information during communication, computation, and on disk. Our work appears in top-tier conferences and journals and helps align Seagate's product teams with the most recent innovations. We pursue new industry-shaping ideas through our many collaborations with university and commercial partners. Together, we are responsible for guiding Seagate's design and business strategies to deliver the most resilient, trustworthy products in an ever-evolving cybersecurity environment.
About the role - you will:
Seagate Technology is looking for a talented scientist to directly contribute to advanced research efforts in data security and secure computation. The Senior Research Engineer will be responsible for evaluating new data privacy solutions, supporting research and product teams with security expertise, and conducting novel security research. Our research model offers a great deal of academic freedom tempered by a commitment to concrete results that improve security, usability and performance for end users. We also support forward-thinking theoretical work that will drive eventual technological improvements to data processing and security. Our ideal candidate combines intellectual curiosity with a collaborative mindset and a drive to change the technological landscape for the better.
As a Research Engineer, you'll be responsible for:
• Communicating with subject matter experts at all Seagate worldwide sites
• Evaluating new trends in cybersecurity and emerging algorithms and protocols
• Developing and analyzing new security technology
• Providing guidance for future Seagate products
• Publishing and presenting research papers at industry/academic conferences.
• Producing technical reports, filing patents, and presenting results.
You may be required to travel domestically on occasion.
About you:
You're deeply interested in cybersecurity, and you're looking for the opportunity to learn on the job and to be hands-on in developing projects from genesis to completion. You're an effective communicator of both technical details and high-level concepts, especially to those outside your field.
Your experience includes:
• Research/Publication record in cryptography, systems security, or a related field, especially with a focus on cryptography, provable security, formal verification, side-channel security confidential computation, or privacy-preserving machine learning.
• Experience designing, implementing, or analyzing cryptographic protocols.
• Familiarity with production development processes is a plus.
• Experience with and interest in the standardization process is a plus.
• Programming experience (e.g., Rust, C/C++, Python)
• PhD or equivalent education and experience in the field of Mathematics, Computer Science, or related field.
Location:
Our Bloomington, MN campus (Normandale) spans two suburbs, Edina and Bloomington, and serves as the Recording Head development and manufacturing arm of Seagate. Located in the heart of a bustling community, Seagate offers an on-site café, or if you prefer, you can drive to one of many restaurants just minutes away. Need to grab a gift over lunch time? Shopping is abundant in the area. If working out is your thing, the on-site fully equipped fitness center hosts wellness programs, outdoor activities, tournaments and group workouts. Looking for something more laid back? Reset in one of our meditation rooms, or simply take a walk around our indoor walking path. On-site cultural festivals, celebrations and community volunteer opportunities also abound.
The estimated base salary range for this position is $106,000 - $138,000. The individual salary is based on work location and additional factors, including job-related skills, experience, and relevant education or training.
Seagate offers comprehensive benefits to its eligible employees, including, but not limited to, , eligibility to participate in discretionary bonus program, medical, dental, vision, and life insurance, short-and long-term disability, 401(k), employee stock purchase plan, health savings account, dependent care, and healthcare spending accounts. Seagate also offers paid time off, including 12 holidays, flexible time off provided pursuant to Seagate policy, a minimum of 48 hours of paid sick leave, and 16 weeks of paid parental leave. The benefits for this position are based on a full-time schedule for a full calendar year and may differ depending on work location.
Location: Shakopee, United States
Travel: None
About Us
With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
Join us and get inspired to make a difference in the datasphere!
Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster
Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at accommodations@seagate.com.
All Seagate jobs will remain open for a minimum of seven days.
For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.