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Added 1 min ago
Software Development Engineer, Amazon Quick
Amazon Development Center U.S., Inc.
Seattle, WA
The Amazon Quick team is looking for an exceptional Software Development Engineer for a strategic new initiative. Amazon Quick is a generative AI–powered assistant that can answer…
Added 3 mins ago
Artificial Intelligence Software Engineer
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
As a Software Engineer, you will be responsible for supporting PNC's Data & Analytics (DnA) organization by designing, developing, and deploying AI-powered applications and agentic systems…
Added 3 mins ago
Software Engineer - AI
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
As a Software Engineer, you will be responsible for supporting PNC's Data & Analytics (DnA) organization by designing, developing, and deploying AI-powered applications and agentic systems…
Added 3 mins ago
Software Engineer - AI Agents / Generative AI
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
As a Software Engineer, you will be responsible for supporting PNC's Data & Analytics (DnA) organization by designing, developing, and deploying AI-powered applications and agentic systems…
Added 12 mins ago
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Immuta
College Park, MD · Columbus, OH · Boston, MA
- $155,000 to $170,000 USD / year
As a Senior Software Engineer on the Core Policy Team, you’ll design, build, and evolve scalable, high-performance features that power Immuta’s policy abstraction and enforcement…
Added 18 mins ago
Staff Design Evaluation Engineer
Analog Devices Inc.
NC
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Added 19 mins ago
Lead Software Engineer - AI
Humana Inc.
Charlotte, NC · Louisville, KY · Work at Home, TX · Tampa, FL · Dallas, TX · Fort Lauderdale, FL · Washington, DC · Chicago, IL · Atlanta, GA · Nashville, TN · Boston, MA
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Added 19 mins ago
Forward Deployed Engineer, Senior - Data & Analytics
Humana Inc.
Louisville, KY · Charlotte, NC · Arlington, VA · Tampa, FL · Dallas, TX · Fort Lauderdale, FL · Chicago, IL · Atlanta, GA · NY · Nashville, TN · Boston, MA
The Senior Data Engineer Designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at…
Added 19 mins ago
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Senior QA/SDET
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Remote, United States
- $180,000 to $210,000 USD / year
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Added 21 mins ago
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Senior Principal AI/ML Product Engineer- Full Stack
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Boston, MA
- $184,600 to $316,500 USD / year
The Sr Principal AI/ML Engineer, AI & Product Office owns the hardest technical bets and the foundation the team builds on, and builds and deploys the AI-enabled products that help the…
Added 24 mins ago
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GPU Kernel Engineer
Sciforium
San Francisco, CA
- $190,000 to $250,000 USD / year
We are seeking a highly skilled GPU Kernel Engineer who is passionate about pushing the limits of performance on modern accelerators. In this role, you will design and optimize custom GPU…
Added 24 mins ago
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Architect - Remote
UnitedHealth Group
Fort Washington, PA
- $112,700 to $193,200 USD / year
…involved across many aspects of architecture, design, build, engineer and implement technical solutions and capabilities providing technical leadership. Responsible for communicating…
Added 25 mins ago
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Associate Software Engineer
UnitedHealth Group
Minneapolis, MN
- $60,200 to $107,400 USD / year
Bachelor's degree or 4+ years of experience as a Software Engineer
Added 25 mins ago
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Lead AI/ML Engineer - Office Based - Eden Prairie, MN
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- $145,500 to $249,500 USD / year
As a Lead AI/ML Engineer on the Optum Technology team, you will drive the design, development, and deployment of enterprise-grade machine learning models and artificial intelligence…
Added 25 mins ago
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Principal Cybersecurity Analyst (Attack Surface Mgt.) On Site MN
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Columbia, MD
- $112,700 to $193,200 USD / year
Cloud security certifications (e.g., AWS Certified Security - Specialty, Microsoft Certified: Azure Security Engineer Associate)
Added 25 mins ago
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Oracle Exadata DBA - Remote
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New York, NY
- $112,700 to $193,200 USD / year
Join the NY APD and Virginia EDW Analytics Operations and Maintenance team within Optum Technology as a Principal Data Engineer. In this role, you will lead the architecture, design, and…
Added 26 mins ago
Lead Embedded SW Test & Verification Engineer
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Remain hands-on in software development, hardware integration and debugging. Architect reusable verification frameworks, simulate sensor and actuator interfaces, and own the verification…
Added 27 mins ago
Machine Learning Engineer, AI/ML Model Quality
Apple
Austin, TX · Cupertino, CA · New York City, NY · San Diego, CA
…across Wallet, Payments, and Commerce. As a Machine Learning Engineer, AI/ML Model Quality, you will build and maintain intelligent systems, validation frameworks, synthetic data generation…
Added 27 mins ago
Principal Platform Engineer - People Systems
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We are seeking a Senior Software Engineer to architect, design, and develop Cloud Infrastructure management systems and platforms. You'll deliver end-to-end use cases and workflows for a…
Added 34 mins ago
Engineer/Sr Engineer, IT Cybersecurity Governance, Risk & Compliance
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Staff Software Architect
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Lead architecture for LLM-integrated systems including prompt engineering frameworks, retrieval-augmented generation (RAG) pipelines, embedding stores, and clinical NLP processing
Added 42 mins ago
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AI Architect
WTW
Philadelphia, PA
- $120,000 to $150,000 USD / year
Production AI engineering - Own the path from prototype to production: evaluation frameworks (golden datasets, offline and online evaluation, regression testing of agent behaviour), release…
Added 43 mins ago
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Senior AI Developer
ClickUp
Remote, United States
- $200,000 to $250,000 USD / year
We're looking for a highly skilled and experienced Senior AI Engineer to join our ClickUp Engineering team, with a focus on AI evaluations. You'll own how we measure and improve the quality…

Apple

Machine Learning Engineer, AI/ML Model Quality

Austin, TX, United States
Cupertino, CA, United States
New York City, NY, United States
San Diego, CA, United States

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Job details

Experience: 3+ years of experience in defining and tracking ML model health metrics in production — model performance monitoring, feature drift detection, and observability instrumentation.
Posting language: English
Posted: Nov 6, 2026

Original job description

Summary Would you like to contribute to Machine Learning and Generative AI technologies? Are you passionate about the integrity of the data that powers AI systems at scale? Do you believe that trustworthy data is the foundation of every great model? We truly believe it is!

We are defining what exceptional data quality looks like for machine learning across Wallet, Payments, and Commerce. As a Machine Learning Engineer, AI/ML Model Quality, you will build and maintain intelligent systems, validation frameworks, synthetic data generation models and monitoring pipelines that keep our data ecosystem healthy - ensuring that every model we build is trained, evaluated, and deployed on data we can trust. Your work sits at the foundation of every ML feature that reaches hundreds of millions of users.

You'll work at the intersection of machine learning, statistical rigor and production systems, collaborating closely with Data Engineering, Privacy, and Legal teams. This unique opportunity puts you at the center of ML and AI quality - owning the health of training and validation datasets, defining and analyzing observability metrics, building models to calibrate & measure robustness, and leading telemetry analysis across GenAI workflows - ensuring Apple's financial features are built on the highest-quality data, whether powering conventional ML models or the latest generative AI systems.

Description The ideal candidate is detail-obsessed who understands that model quality starts long before training - it starts with the data. You have strong statistical instincts, know how silent degradation and data drift manifest in production systems, and can translate raw quality signals into insights that drive real decisions.

You will own the health of the data ecosystem that underpins ML and GenAI features across Wallet, Payments, and Commerce - building validation frameworks, defining observability metrics, and leading telemetry analysis that keeps every model trained, evaluated, and monitored on data teams can trust. Your work sits at the foundation of every ML feature that reaches hundreds of millions of users.

Responsibilities

Curate, analyze, and maintain gold-standard ground-truth datasets for model evaluation and continuous validation across both ML and GenAI systems.

Audit training data for systemic bias and fairness gaps prior to model deployment; establish ongoing analytical checks to catch bias introduced by data drift over time.

Define and analyze telemetry across GenAI workflows, tracking quality signals such as output coherence, latency, task completion rates, and regression patterns.

Design mechanisms to detect degradation of models in production in a privacy preserving manner.

Define and own ML observability metrics - model performance, output distributions, training-serving skew, silent degradation and feature drift - translating raw production signals into actionable insights for engineering and product teams.

Design and develop observability dashboards and reporting workflows that give stakeholders a consistent, real-time view of model health across both conventional ML and GenAI systems.

Identify degradation patterns and domain-specific failure modes in GenAI systems through systematic telemetry analysis, translating findings into concrete recommendations for model and data teams.

Define, track, and report key data quality metrics - completeness, accuracy, timeliness, validity for engineering and leadership audiences.

Minimum Qualifications A Bachelor's degree with exceptional hands-on experience in ML/AI model quality or applied research or a M.S or Ph.D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred.

3+ years of experience in defining and tracking ML model health metrics in production - model performance monitoring, feature drift detection, and observability instrumentation.

3+ years of experience in Machine Learning, data science or a closely related analytical role, with a strong focus on data quality, model evaluation, or ML observability in production environments.

Proficiency in Python (Pandas, NumPy, Scikit-learn), common ML frameworks like PyTorch and SQL for complex data analysis, metric creation, and validation.

Experience querying and analyzing large-scale datasets using distributed computing frameworks (e.g., PySpark, Spark, or distributed SQL).

Solid understanding of statistical methods - hypothesis testing, distribution analysis, data drift detection, and statistical process control.

Experience with GenAI or LLM systems, including common quality failure modes, output evaluation approaches, and telemetry instrumentation.

Strong communication skills - ability to translate complex data quality findings and model health risks into clear, actionable insights for both engineering and non-technical stakeholders.

Preferred Qualifications Experience with data visualization and dashboarding tools (e.g., Tableau, Apache Superset, Databricks) to present complex ML telemetry.

Familiarity with LLM evaluation frameworks (e.g. LangSmith) or techniques like LLM-as-a-judge.

Experience with Bayesian or causal graph-based approaches to synthetic data generation.

Familiarity with confidence calibration techniques and uncertainty quantification.

Experience with ML monitoring or observability platforms (e.g., MLflow, Weights & Biases, or equivalent).

Experience working with privacy-constrained data or under regulatory compliance frameworks (GDPR, DMA).

Background in financial services, fintech, or consumer payment products.

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 $175,000 and $308,500, 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.

EEO Statement Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

Accessibility At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Application Deadline Apple accepts applications to this posting on an ongoing basis.

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 $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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More about this job

Skills

Machine learning
ML
Research
Computer science
Statistics
Python
NumPy
Scikit-learn
PyTorch
SQL
Data analysis
Distributed computing
PySpark
Apache Spark
Statistical process control
Communication skills
Data visualization
Tableau
Databricks
Mlflow

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