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Privacy Preserving Machine Learning Jobs in Oregon

Nextdoor

Engineering Manager - Ads Reporting

OR · On-site +1

$221K - $284K/yr

Familiarity with statistical modeling, machine learning, and data analysis * Knowledge of privacy-preserving data analysis methods Rewards Compensation, benefits, perks, and recognition programs at ...

Zillow

Distinguished Scientist

OR · On-site +1

$257.10K - $410.70K/yr

Our team brings together applied scientists, machine learning engineers, and software engineers who ... privacy-preserving real-estate and transaction datasets to build capabilities that few other ...

Guidewire Software

OR

$104.40K - $143.40K/yr

As a Senior Machine Learning Platform Engineer, you will architect and scale the ML platform that ... Ensure compliance with security, privacy, and regulatory requirements throughout the ML lifecycle.

UMB Financial

AI Data Architect

OR · On-site +1

$63.75 - $82/hr

Currently, we leverage machine learning, natural language processing, predictive analytics, and ... Familiarity with privacy-preserving technologies (differential privacy, secure multiparty ...

Netflix

OR

We continually improve ad targeting capabilities through machine learning, analytics, data ... This role is for a Research Scientist to focus on signal privacy, including differential privacy in ...

Care Access

OR · On-site

Advise on privacy and data protection implications of AI-enabled tools, machine learning systems, and other emerging technologies involving health and personal data. Conduct and draft legal risk ...

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

... machine learning algorithms to improve patient enrollment and trial management. You'll work in a highly regulated healthcare data environment, ensuring compliance with privacy standards while ...

Welocalize, Inc.

OR

For Privacy Policy please review here Job Responsibilities: The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language ...

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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 Oregon? For Privacy Preserving Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Privacy Preserving Machine Learning jobs in Oregon look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Privacy Preserving Machine Learning jobs? Cities in Oregon with the most Privacy Preserving Machine Learning job openings:
Privacy Preserving Machine Learning jobs near you
Assistant/Associate Professor of Translational Data Science & Artificial Intelligence

Assistant/Associate Professor of Translational Data Science & Artificial Intelligence

Oregon Health & Science University

Portland, OR

Full-time

Posted 10 days ago

Oregon Health & Science University rating

8.2

Company rating: 8.2 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

106th of 529 rated colleges and universities

Job description

Department Overview

The Division of Informatics, Clinical Epidemiology and Translational Data Science (DICE), one of 11 divisions in the OHSU Department of Medicine, is a national leader in biomedical informatics research and education. Faculty benefit from OHSU's highly collaborative environment, including access to a number of teams and resources related to innovation with and translation of AI, as well as the Advanced Computing Center. OHSU values a diverse and culturally competent workforce and is proud to be an equal opportunity, affirmative action organization.

**Open to various rank levels (Assistant, Associate, or Professor) dependent on experience**

Function/Duties of Position

The Division of Informatics, Clinical Epidemiology and Translational Data Science (DICE) at OHSU seeks a tenure-track faculty member to lead a research program at the intersection of Artificial Intelligence (AI), machine learning (ML), and translational science. The successful candidate will develop computational methods to bridge the gap between complex biomedical data and clinical bedside application, leveraging OHSU's extensive electronic health record (EHR) data, imaging repositories, and genomic datasets.

 

Key Responsibilities

Research & Scholarship (70%):

  • Establish and maintain an independently funded research program focused on translational AI (e.g., predictive clinical modeling, precision oncology, ambient intelligence, or bias mitigation in healthcare algorithms).
  • Collaborate with clinical partners in the Knight Cancer Institute, Oregon Clinical and Translational Research Institute (OCTRI), the Center for AI-Enabled Learning Health Science (CAILS) and others to validate and implement AI tools in real-world settings.
  • Publish high-impact findings in peer-reviewed journals and present at national/international conferences.

Education & Mentoring (20%):

  • Teach graduate-level courses in the Biomedical Informatics Graduate Program (e.g., Applied Machine Learning, Health Data Analytics).
  • Mentor MS/PhD students, postdoctoral fellows, and clinical informatics fellows, fostering their development as independent scientists.

Service & Leadership (10%):

  • Participate in departmental committees and OHSU-wide governance regarding ethical AI usage and data science infrastructure.
  • Contribute to grant review panels and professional societies.
  •  
Required Qualifications
  • PhD, MD/PhD, or equivalent in Biomedical Informatics, Computer Science, Data Science, Statistics, or a related field.
  • Demonstrated expertise in applying machine learning/deep learning to biomedical problems (e.g., NLP or EHR, computer vision for pathology/radiology, or multi-omics integration). 
  • Track record of scholarly productivity (publications) and potential for securing external fudning (e.g., NIH, NSF, PCORI)
  • Proficiency in Python, R, SQL, and experience with high-performance computing environments
Preferred Qualifications
  • Experience with implementation science or deploying algorithmic tools into clinical workflows
  • Previous success securing K-awards or R-level grant funding
  • Familiarity with federated learning or privacy-preserving computation
Why apply to OHSU?We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.eduEmployment Type: FULL_TIME

What Oregon Health & Science University employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Oregon Health & Science University

Sourced by ZipRecruiter

Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887

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