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Privacy Preserving Machine Learning Jobs in Oregon

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 ...

Welocalize, Inc.

OR

$16 - $20.75/hr

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 ...

Welocalize, Inc.

Generative AI Analyst

Portland, OR · On-site

For Privacy Policy please review here Job Responsibilities: The Generative AI Analyst role focuses ... Self-driven, motivated, and enthusiastic about working on state-of-the-art machine learning tools.

Welocalize, Inc.

OR · On-site

For Privacy Policy please review here Job Responsibilities: The Generative AI Analyst role focuses ... Self-driven, motivated, and enthusiastic about working on state-of-the-art machine learning tools.

Stride, Inc.

OR

Drives the conception, prototyping, and deployment of machine learning models-particularly in ... Partners with governance teams and legal to adapt to evolving data privacy regulations and ...

Deloitte

AI Data Engineer Senior Consultant

Portland, OR · On-site

$121.40K - $145.80K/yr

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

New

Exactsciences

OR · On-site

Collaborate closely with business stakeholders, data scientists, machine learning engineers, and ... Address issues related to data privacy, security, and biases in AI systems. * Develop policies that ...

Deloitte

AI Data Engineer Senior Consultant

Portland, OR · On-site +1

$112.40K - $152.70K/yr

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

Deckers

Sr. Manager, Data & ML Engineering

OR · Remote

Partner with Cloud Engineering and Security to ensure AWS data solutions meet security, privacy ... Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ...

Fuze Health

OR

Familiarity with HIPAA and healthcare data privacy standards. * Experience supporting machine learning pipelines, feature engineering workflows, or feature stores. * Experience with streaming ...

eNett

OR

... Machine Learning (ML) across the global enterprise. This individual will serve as a high-level ... AI data privacy * Are able to translate regulatory requirements into technical architecture ...

Jet Industries

AI Integrator

Salem, OR

$96K - $130K/yr

... and privacy best practices. * Ability to manage multiple projects simultaneously. * Experience with API development and integration. Required Skills: * AI Integration * Machine Learning * Python

Netflix

OR · On-site

$388K - $558K/yr

Understanding of privacy-preserving techniques (e.g., encryption, federated learning, synthetic data). * Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities ...

Jet Industries

AI Integrator

Salem, OR

$96K - $130K/yr

... and privacy best practices. * Ability to manage multiple projects simultaneously. * Experience with API development and integration. Required Skills: * AI Integration * Machine Learning * Python

WEX

OR

... Machine Learning (ML) across the global enterprise. This individual will serve as a high-level ... AI data privacy * Are able to translate regulatory requirements into technical architecture ...

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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
Data Labeling Analyst - Speech & Voice AI

Data Labeling Analyst - Speech & Voice AI

Welocalize, Inc.

Full-time

Posted 29 days ago

Welocalize rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

202nd of 424 rated business services

Job description

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login

When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS.

Thank you!

NOTICE: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 processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.

MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

  • Update training and test model databases with new or amended synthetic textual and image data.
  • Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

  • Initiate model training processes using internal tools and command-line interfaces.
  • Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

  • Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
  • Handle data efficiently, ensuring its integrity throughout the workflow.
  • Engage in data relevance tasks, ensuring data sets are aligned with project goals.
  • Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

  • Conduct manual quality analysis of model results.
  • Recognize error patterns and report anomalies for further investigation.
  • Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
  • Implement basic quality control measures and ensure the reliability of processed data.
  • Utilize intermediate data analysis techniques to extract insights and inform decision-making.
  • Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

  • Apply basic knowledge of natural language processing and linguistics to data processing tasks.
  • Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

  • Ability to work in a fast-paced, collaborative environment.
  • Excellent communication skills

Skills & Knowledge:

  • Familiarity with command-line tools and interfaces.
  • Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details:

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