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Privacy Preserving Machine Learning Jobs in Minnesota

Accenture

Lead AI / ML Engineer

Minneapolis, MN · On-site

$107K - $140K/yr

Certifications in AI, machine learning, or data science. * + 6 years of experience in projects focused on ethical AI or AI for social good. * Knowledge of AI ethics, data privacy, and regulatory ...

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Privacy Preserving Machine Learning information

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 job categories do people searching Privacy Preserving Machine Learning jobs in Minnesota look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Minnesota are:
Privacy Preserving Machine Learning jobs near you
Infographic showing various Privacy Preserving Machine Learning job openings in Minnesota as of June 2026, with employment types broken down into 33% Full Time, 65% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Senior Data Quality & Active Learning AI Engineer

Philips

Plymouth, MN • On-site

$157K - $249K/yr

Full-time

Retirement, PTO

Posted 16 days ago

Philips rating

8.3

Company rating: 8.3 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

36th of 157 rated electronics manufacturers

Job description

Job Title
Senior Data Quality & Active Learning AI Engineer
Job Description
Senior Data Quality & Active Learning AI Engineer
Build compliant, audit-ready medical imaging datasets and active learning systems that accelerate the development of artificial intelligence (AI) and data-intensive software for Philips products.
Your role:
  • Own the design and operation of compliant data-quality and active-learning pipelines for multimodal clinical data, primarily medical images and metadata, on cloud infrastructure. Establish data contracts, de-identification workflows, validation and release gates, dataset versioning, readiness metrics, and traceable documentation so data are audit-ready and fit for model and software development.
  • Join the growing Data and AI Platforms team within the Software and AI organization in research and development, working closely with other data and AI engineers, medical informaticians, architects, data stewards, clinical partners, privacy experts, and external annotation teams. Partner with algorithm, AI, and software developers who use these data to create AI-enabled and non-AI software that becomes part of Philips products.
  • Build active-learning loops that prioritize labeling, measure label quality and coverage, and accelerate safe dataset improvement; collaborate on preprocessing, augmentation, feature extraction, embeddings, and handoff to the data platform. You will help shape modern data and AI engineering practices while growing your expertise in regulated medical-device development, cloud platforms, synthetic and simulated data, and AI-assisted and agentic engineering workflows.

You're the right fit if:
  • You've acquired 5+ years of relevant individual-contributor experience in data quality, data engineering, or machine learning data pipelines, ideally in healthcare and with medical imaging data. You have a bachelor's degree in engineering, computer science, biomedical or health informatics, data science, mathematics, statistics, or a related field; a master's degree with 3+ years of relevant experience or a doctorate with relevant experience is also acceptable.
  • Your skills include Python and Structured Query Language (SQL) for data extraction, transformation, validation, and automation, plus experience building scalable, event-driven and batch-oriented data pipelines in Amazon Web Services (AWS) using distributed processing frameworks such as Apache Spark or Ray. You can design workflows that trigger when new imaging or metadata becomes available and apply data-quality checks, lineage, dataset versioning, and release gates.
  • You have hands-on experience with Digital Imaging and Communications in Medicine (DICOM) and Picture Archiving and Communication System (PACS) concepts, 2D/3D imaging volumes, de-identification, and protected health information (PHI) handling. You understand the Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR), privacy by design, and audit-ready documentation under medical-device design controls; Health Level Seven (HL7) and Fast Healthcare Interoperability Resources (FHIR) familiarity is a plus.
  • You bring active-learning expertise, including uncertainty, diversity, and error-based sampling, label-quality measurement, coverage analysis, and bias/drift assessment. Proficiency with AI-assisted engineering tools such as OpenAI Codex and Claude Code, plus agentic AI workflows, is expected; familiarity with PyTorch or TensorFlow and graphics processing unit (GPU)-accelerated preprocessing, and experience creating, validating, or assessing synthetic or simulated data, are pluses.
  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position. You're a clear, collaborative communicator who surfaces risks, resolves blockers, shares progress and knowledge gaps, and works effectively with globally distributed technical, clinical, governance, and software stakeholders.

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. This is an office role based in Plymouth, Minnesota or Bedford, Massachusetts.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.
  • Learn more about our business.
  • Discover our rich and exciting history.
  • Learn more about our purpose.
  • Learn more about our culture.

Philips Transparency Details
The pay range for this position in Bedford, MA is $157,000 to $249,000
The pay range for this position in Plymouth, MN is $147,000 to $234,000
The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.
In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. Details about our benefits can be found here.
At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.
Additional Information
Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Plymouth, Minnesota or Bedford, Massachusetts.
This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.
Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

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