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Added 2 mins ago
BD
Senior Staff ML Engineer, Spot
Boston Dynamics, Inc.
United States
- $175,000 to $215,000 USD / year
In this role, you will have the opportunity to design, build, and continuously improve Orbit’s machine learning systems.
Added 3 mins ago
Assistant Project Manager
WSP
Dallas, TX
The successful candidate will provide advisory oversight stretching across design progression, construction, and final client close-out. This role bridges senior strategic project…
Added 3 mins ago
Geotechnical Design Manager
XL FERROVIAL CONSTRUCTION US CORP.
Atlanta, GA
Assist in drafting and managing geotechnical consultant contracts and pay applications, coordinating design review comments, and providing statistics and metrics to facilitate design…
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
Design, build, test, and deploy AI agents and GenAI-driven applications.
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 4 mins ago
Director, Software Engineer
Western Governors University
Salt Lake City, UT
Actively drives the full software development life cycle, including requirements analysis, feasibility estimates, design, coding, documentation, testing, implementation, and ongoing support.
Added 4 mins ago
Senior Software Engineer
Western Governors University
Salt Lake City, UT
Research, design, develop, test, implement, and support software applications and systems.
Added 5 mins ago
Software Engineer II - Discover Studio
Qualtrics
Reston, VA
At Qualtrics, capturing and making sense of human sentiment at scale is at the heart of what we do. As a Software Engineer on the XM Discover Studio team, you will build customer-facing…
Added 5 mins ago
CC
Commercial HVAC Mechanical Project Manager (Remote)
Carrier Corporation
Remote, United States
- $79,000 to $158,000 USD / year
…markets, positively representing the company in all client and architect/engineer…
Added 7 mins ago
Senior Software Engineer
Harvard University
Boston, MA
The Senior Software Engineer role focuses on developing secure new applications and functionality, enhancing and supporting existing applications, providing system redundancy, and…
Added 11 mins ago
RA
Sr. Embedded Software Engineers
Rivian and Volkswagen Group Technologies
Palo Alto, CA
- $188,000 to $220,000 USD / year
Design and build complex systems spanning multiple domains that bring new access features, improved functionality, and better performance to how users interact with our vehicles. Shape the…
Added 11 mins ago
RA
Staff Embedded Software Engineers
Rivian and Volkswagen Group Technologies
Palo Alto, CA
- $222,000 to $279,000 USD / year
…Mechatronics Engineering, Applied Sciences or a closely related field and 4 years of experience in any occupation as Software Engineer, Embedded RTOS Engineer, or related. Must have…
Added 12 mins ago
IG
Reliability Engineer
Insight Global
North Charleston, SC
- $97,600 to $140,000 USD / year
The Reliability Engineer is responsible for driving equipment reliability, maintainability, availability, and safety across the facility in alignment with Process Safety Management (PSM)…
Added 12 mins ago
IG
Controls Engineer
Insight Global
North Charleston, SC
- $92,000 to $138,000 USD / year
The Controls Engineer is responsible for the design, programming, commissioning, troubleshooting, and continuous improvement of industrial automation and electrical control systems…
Added 12 mins ago
IG
QA Engineer
Insight Global
Fort Lauderdale, FL
- From $51 USD / hour
o Knowledge of RESTful API design and integration, HTTP methods, and JSON/XML data formats.
Added 12 mins ago
Adobe Experience Platform Engineer/Architect
System One
Pittsburgh, PA
Design and enhance scalable digital measurement frameworks across web platforms using Adobe Analytics and Customer Journey Analytics as well as Adobe Launch tag management solution.
Added 12 mins ago
I
Sr. Software Engineer (Core Policy)
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 13 mins ago
Platform and Data Engineer
Booz Allen Hamilton_United States
Honolulu, HI
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data…
Added 13 mins ago
Power Platform Developer
Booz Allen Hamilton_United States
Arlington, VA
…the direction of the Job Leader, you will contribute to the design, development, testing, and sustainment of applications built on Microsoft’s Power Platform, including Canvas Apps, Power…
Added 13 mins ago
Staff Software Engineer, Google Ads, Full Stack
Google
New York, NY
…technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well…
Added 13 mins ago
C
Software Engineer Embedded Systems I (Full Time) - United States
Cisco
San Jose, CA
- Full-time
You are a passionate engineer skilled in low-level programming, networking protocols, and hardware-software integration, with strong communication and collaboration abilities. You thrive in…
Added 13 mins ago
Combat Survivor Evader Locater (CSEL) Systems Engineer (Experienced or Lead)
The Boeing Company
Huntington Beach, CA
We are looking for an experienced Systems Engineer to be responsible for the design, support, and maintenance of ground-based infrastructure. This position will include support of systems…
Added 14 mins ago
Product Line Manager - Si IGBT
onsemi
San Jose, CA
The Technical Marketing Engineer, also referred to as a Product Manager or Product Lifecycle Manager, has overall ownership of new products, including the business case, for assigned…
Added 14 mins ago
UA
Senior Operating Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
Costa Mesa, CA
- $43 to $47.5 USD / hour
The Operating Engineer focuses on operating, maintaining, troubleshooting, and repairing all facility systems equipment. This role requires specialized expertise in Electrical, HVAC,…

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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