Experience with privacy-preserving ML (federated learning, differential privacy, homomorphic ... Bachelor's in Computer Science, Machine Learning, or a related technical field. Preferred ...
Experience with privacy-preserving ML (federated learning, differential privacy, homomorphic ... Bachelor's in Computer Science, Machine Learning, or a related technical field. Preferred ...
Senior Staff Machine Learning Engineer - Ads Prediction, Signals & Quality At Apple, we focus ... Experience with privacy-preserving ML (federated learning, differential privacy, homomorphic ...
Senior Staff Machine Learning Engineer - Ads Prediction, Signals & Quality At Apple, we focus ... Experience with privacy-preserving ML (federated learning, differential privacy, homomorphic ...
Sr. Machine Learning Engineer
Santa Clara, CA · On-site
$143K - $189K/yr
... secure, and privacy-preserving experiences, simultaneously delivering Apple-level design and ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...
Sr. Machine Learning Engineer
Santa Clara, CA · On-site
$143K - $189K/yr
... secure, and privacy-preserving experiences, simultaneously delivering Apple-level design and ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...
Head Of Ai & Machine Learning As the Head of AI & Machine Learning, you will lead the development ... Design privacy-preserving AI systems to protect sensitive data while enabling personalization.
Head Of Ai & Machine Learning As the Head of AI & Machine Learning, you will lead the development ... Design privacy-preserving AI systems to protect sensitive data while enabling personalization.
Sr. Machine Learning Engineer
$142K - $188K/yr
... secure, and privacy-preserving experiences, simultaneously delivering Apple-level design and ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...
Sr. Machine Learning Engineer
$142K - $188K/yr
... secure, and privacy-preserving experiences, simultaneously delivering Apple-level design and ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...
Senior Machine Learning Engineer - System Experience Personalization
San Francisco, CA · On-site
$144K - $190K/yr
Our team is part the core iOS experience, using privacy preserving on-device intelligence to drive ... S. or PhD in Machine Learning, Computer Science or related field.5+ Years of proven experience ...
Senior Machine Learning Engineer - System Experience Personalization
San Francisco, CA · On-site
$144K - $190K/yr
Our team is part the core iOS experience, using privacy preserving on-device intelligence to drive ... S. or PhD in Machine Learning, Computer Science or related field.5+ Years of proven experience ...
Staff Software Engineer, Privacy
Mountain View, CA · On-site
$251K - $310K/yr
Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption. * Experience building first-class user facing products.
Staff Software Engineer, Privacy
Mountain View, CA · On-site
$251K - $310K/yr
Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption. * Experience building first-class user facing products.
The Machine Learning Platform team's mission is to empower teams at Apple Ads to easily and rapidly ... Prior experience in privacy-preserving ML using techniques such as federated learning and ...
The Machine Learning Platform team's mission is to empower teams at Apple Ads to easily and rapidly ... Prior experience in privacy-preserving ML using techniques such as federated learning and ...
... privacy-preserving ML techniques and responsible data handling Experience with email protocols (SMTP, IMAP) or messaging infrastructure MS/PhD in Computer Science, Machine Learning, or a related ...
... privacy-preserving ML techniques and responsible data handling Experience with email protocols (SMTP, IMAP) or messaging infrastructure MS/PhD in Computer Science, Machine Learning, or a related ...
Machine Learning Research Scientist
San Francisco, CA · On-site
$120K - $300K/yr
Develop privacy-preserving cross-organizational learning using federated learning and differential ... Must-have Requirements * 5+ years building novel systems in machine learning, NLP, knowledge graphs ...
Machine Learning Research Scientist
San Francisco, CA · On-site
$120K - $300K/yr
Develop privacy-preserving cross-organizational learning using federated learning and differential ... Must-have Requirements * 5+ years building novel systems in machine learning, NLP, knowledge graphs ...
... privacy-preserving experiences across its platforms. We're looking for a Machine Learning Engineer ... to help prototype, build, and ship conversational and generative AI systems that feel deeply human ...
... privacy-preserving experiences across its platforms. We're looking for a Machine Learning Engineer ... to help prototype, build, and ship conversational and generative AI systems that feel deeply human ...
Machine Learning Engineer - AI & ML Evaluation Frameworks
Cupertino, CA · On-site
$101K - $135K/yr
... privacy-preserving ML (Federated Learning)Background in AI Safety, model interpretability, or adversarial testingInterest in digital health and clinical rigor
Machine Learning Engineer - AI & ML Evaluation Frameworks
Cupertino, CA · On-site
$101K - $135K/yr
... privacy-preserving ML (Federated Learning)Background in AI Safety, model interpretability, or adversarial testingInterest in digital health and clinical rigor
... privacy-preserving ML techniques and responsible data handlingFamiliarity with email, calendar, or contacts domains, or other communications and productivity systemsMS/PhD in Computer Science ...
... privacy-preserving ML techniques and responsible data handlingFamiliarity with email, calendar, or contacts domains, or other communications and productivity systemsMS/PhD in Computer Science ...
Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more.
Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more.
Machine Learning Engineer and Computer Visions Engineer, Vision Products Group
Sunnyvale, CA · On-site
Join our machine learning team at Apple to develop computer vision and localization technologies ... privacy-preserving design-this is your opportunity to create experiences that millions of people ...
Machine Learning Engineer and Computer Visions Engineer, Vision Products Group
Sunnyvale, CA · On-site
Join our machine learning team at Apple to develop computer vision and localization technologies ... privacy-preserving design-this is your opportunity to create experiences that millions of people ...
... machine learning and generative AI infrastructure. This includes feature reviews and the design of new, privacy preserving data collection methodologies to enable the evaluation of AI systems. It ...
... machine learning and generative AI infrastructure. This includes feature reviews and the design of new, privacy preserving data collection methodologies to enable the evaluation of AI systems. It ...
Application Security Engineer
Palo Alto, CA · On-site
$200K - $340K/yr
Familiarity with federated learning and privacy-preserving machine learning techniques * Experience in building custom security tooling to enhance and automate security processes * Interest in ...
Application Security Engineer
Palo Alto, CA · On-site
$200K - $340K/yr
Familiarity with federated learning and privacy-preserving machine learning techniques * Experience in building custom security tooling to enhance and automate security processes * Interest in ...
Application Security Engineer
Palo Alto, CA · On-site
$69.25 - $92.50/hr
... learning and privacy-preserving machine learning techniques • Experience in building custom security tooling to enhance and automate security processes • Interest in leveraging AI to automate ...
Application Security Engineer
Palo Alto, CA · On-site
$69.25 - $92.50/hr
... learning and privacy-preserving machine learning techniques • Experience in building custom security tooling to enhance and automate security processes • Interest in leveraging AI to automate ...
Application Security Engineer
Palo Alto, CA · On-site
$69.25 - $92.50/hr
... learning and privacy-preserving machine learning techniques • Experience in building custom security tooling to enhance and automate security processes • Interest in leveraging AI to automate ...
Application Security Engineer
Palo Alto, CA · On-site
$69.25 - $92.50/hr
... learning and privacy-preserving machine learning techniques • Experience in building custom security tooling to enhance and automate security processes • Interest in leveraging AI to automate ...
Application Security Engineer
Palo Alto, CA · On-site
$69.25 - $92.50/hr
... learning and privacy-preserving machine learning techniques • Experience in building custom security tooling to enhance and automate security processes • Interest in leveraging AI to automate ...
Application Security Engineer
Palo Alto, CA · On-site
$69.25 - $92.50/hr
... learning and privacy-preserving machine learning techniques • Experience in building custom security tooling to enhance and automate security processes • Interest in leveraging AI to automate ...
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?
| Aspect | Privacy Preserving Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires knowledge of machine learning, data privacy, and security certifications | Requires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common |
| Work Environment | Works in research, development, and implementation of privacy-focused ML models, often in tech or finance sectors | Analyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare |
| Employer & Industry Usage | Used by organizations prioritizing data privacy, such as healthcare, finance, and tech companies | Employed 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, 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 popular job titles related to Privacy Preserving Machine Learning jobs in California? For Privacy Preserving Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Privacy Preserving Machine Learning jobs in California look for? The top searched job categories for Privacy Preserving Machine Learning jobs in California are:
What cities in California are hiring for Privacy Preserving Machine Learning jobs? Cities in California with the most Privacy Preserving Machine Learning job openings:
$212K - $386K/yr
Full-time
Medical, Dental, Retirement
Posted 11 days ago
Apple rating
8.1
Based on 661 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses!
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone!
Description
We are seeking an experienced Machine Learning Engineer to drive innovation in ad prediction, quality, and privacy-preserving signals. This role spans three critical areas: building large-scale prediction models, designing signals that respect user privacy, and ensuring ad quality that aligns with Apple’s values of trust and transparency. You will set technical direction, lead complex initiatives, and mentor engineers while collaborating closely with research, infrastructure, and product teams.
This role offers the opportunity to shape the future of privacy-first advertising at Apple. You’ll work with some of the best engineers and researchers in the field, solve problems at massive scale, and deliver models that respect users while driving meaningful outcomes for advertisers.","responsibilities":"10+ years of experience applying ML at scale in ads, recommender systems, content ranking, or related domains.
Strong expertise in deep learning architectures (Transformers, LLMs, DNNs) and training frameworks (TensorFlow, PyTorch).
Proven track record in prediction systems (CTR, CVR, or related) and explore/exploit strategies (bandits, RL).
Experience with privacy-preserving ML (federated learning, differential privacy, homomorphic encryption, secure multiparty computation) is preferred.
Familiarity with large-scale data pipelines, A/B testing infrastructure, and production experimentation.
Strong coding skills in Python and production experience in at least one of: Scala, Java, C++.
Ability to set technical direction, influence cross-functional stakeholders, and deliver business impact.
Bachelor's in Computer Science, Machine Learning, or a related technical field.
Preferred Qualifications
MS or PhD, or equivalent experience, in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field.
Great foundation in information retrieval, including query-document matching, embedding-based ranking, and learning-to-rank algorithms is a plus
Minimum Qualifications
MS or PhD in Computer Science, Machine Learning, or related discipline.
Published research or open-source contributions in ads, ranking, privacy-preserving ML, or large-scale prediction systems.
Experience leading multi-team or cross-org initiatives with measurable business and user impact.
Deep expertise in signals engineering for ads quality, trust & safety, or search relevance.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $212,000 and $386,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone!
Description
We are seeking an experienced Machine Learning Engineer to drive innovation in ad prediction, quality, and privacy-preserving signals. This role spans three critical areas: building large-scale prediction models, designing signals that respect user privacy, and ensuring ad quality that aligns with Apple’s values of trust and transparency. You will set technical direction, lead complex initiatives, and mentor engineers while collaborating closely with research, infrastructure, and product teams.
This role offers the opportunity to shape the future of privacy-first advertising at Apple. You’ll work with some of the best engineers and researchers in the field, solve problems at massive scale, and deliver models that respect users while driving meaningful outcomes for advertisers.","responsibilities":"10+ years of experience applying ML at scale in ads, recommender systems, content ranking, or related domains.
Strong expertise in deep learning architectures (Transformers, LLMs, DNNs) and training frameworks (TensorFlow, PyTorch).
Proven track record in prediction systems (CTR, CVR, or related) and explore/exploit strategies (bandits, RL).
Experience with privacy-preserving ML (federated learning, differential privacy, homomorphic encryption, secure multiparty computation) is preferred.
Familiarity with large-scale data pipelines, A/B testing infrastructure, and production experimentation.
Strong coding skills in Python and production experience in at least one of: Scala, Java, C++.
Ability to set technical direction, influence cross-functional stakeholders, and deliver business impact.
Bachelor's in Computer Science, Machine Learning, or a related technical field.
Preferred Qualifications
MS or PhD, or equivalent experience, in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field.
Great foundation in information retrieval, including query-document matching, embedding-based ranking, and learning-to-rank algorithms is a plus
Minimum Qualifications
MS or PhD in Computer Science, Machine Learning, or related discipline.
Published research or open-source contributions in ads, ranking, privacy-preserving ML, or large-scale prediction systems.
Experience leading multi-team or cross-org initiatives with measurable business and user impact.
Deep expertise in signals engineering for ads quality, trust & safety, or search relevance.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $212,000 and $386,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976