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Added 8 mins ago
AT
Machine Learning Senior Software Engineer
Akamai Technologies, Inc.
Jefferson City, MO
- $121,400 to $218,600 USD / year
As a Machine Learning Senior Software Engineer, you will be responsible for:
Added 8 mins ago
Senior Security GRC Engineer, AI & Automation
American Express Global Business Travel
Jefferson City, MO
Hands-on experience applying AI or machine learning technologies (including LLMs and generative AI) to real-world business or security use cases.
Added 8 mins ago
Mechanical Engineer, Data Center Operations Engineering
Meta
Jefferson City, MO
Meta is seeking a Mechanical Engineer to join our Data Center Operations Engineering team. Our data centers are the foundation upon which our rapidly growing infrastructure efficiently…
Added 8 mins ago
Network Operations Engineer
Meta
Jefferson City, MO
Meta is seeking a Network Operations Engineer to join our Edge and Network Services (ENS) Foundation NetOps team. In this role, you will utilize your knowledge in hyperscale data center…
Added 8 mins ago
Lead AI and Data Science Engineer II
Deloitte
St. Louis, MO · Kansas City, MO
Do you have a strong background in machine learning and deep learning? Are you interested in utilizing your data science skills and leading a small team in a fast-paced environment to…
Added 19 mins ago
Principal Application Engineer- Missile Defense
Synopsys
USA Off-Site, CO
The synthetic datasets you generate will train machine learning models that improve threat detection and discrimination accuracy in operational systems
Added 21 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 23 mins ago
Artificial Intelligence Software Engineer
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together…
Added 23 mins ago
Software Engineer - AI
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together…
Added 23 mins ago
Software Engineer - AI Agents / Generative AI
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together…
Added 30 mins ago
RA
Sr. Embedded Software Engineers
Rivian and Volkswagen Group Technologies
Palo Alto, CA
- $188,000 to $220,000 USD / year
Master’s degree or foreign equivalent in Computer Science, Computer Engineering, or a closely related field and 2 years of experience in any occupation as firmware engineer, software…
Added 32 mins ago
Data and ML Engineer
Booz Allen Hamilton_United States
McLean, VA
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 32 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 33 mins ago
Staff Software Engineer, Google Ads, Full Stack
Google
New York, NY
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Added 37 mins ago
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Project Manager
Actalent
Sidney, OH
- $100,000 to $120,000 USD / year
Job Title: Project ManagerJob DescriptionThis Project Manager role focuses on leading complex, engineer-to-order machinery and industrial equipment projects from customer order through…
Added 39 mins ago
V
Senior QA/SDET
Vouched
Remote, United States
- $180,000 to $210,000 USD / year
…services, including healthcare, financial services, rentals, and more. Companies use Vouched to verify identity while onboarding and authenticating users. We make identity verifi cation…
Added 45 mins ago
UG
Associate Software Engineer
UnitedHealth Group
Minneapolis, MN
- $60,200 to $107,400 USD / year
Design, develop, and deploy Artificial Intelligence (AI) solutions in Python, including services that integrate Large Language Models (LLMs) and machine learning (ML) models into production…
Added 45 mins ago
UG
Lead AI/ML Engineer - Office Based - Eden Prairie, MN
UnitedHealth Group
Eden Prairie, MN
- $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 45 mins ago
UG
Oracle Exadata DBA - Remote
UnitedHealth Group
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 47 mins ago
Machine Learning Engineer, AI/ML Model Quality
Apple
Austin, TX · Cupertino, CA · New York City, NY · San Diego, CA
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…
Added 56 mins ago
Software Development Engineer, US Prime and Marketing Tech - Fabric Team
Amazon.com Services LLC
Seattle, WA
Our systems span real-time machine learning inference, AI-powered automated merchandising, content ranking, and large-scale personalization, all built for low-latency performance and…
Added 58 mins ago
Staff Software Architect
CVS Shared Services Resources LLC
Remote, United States
Master's degree in Computer Science, Machine Learning, or equivale
Added 59 mins ago
JH
Embedded Systems Design Engineer
Johns Hopkins Applied Physics Laboratory
Laurel, MD
- $100,000 USD / year
Apply Machine Learning (ML) and Artificial Intelligence (AI) algorithms for EW applications.
Added 1 hour ago
C
Senior Security Engineer, Infrastructure Security
ClickUp
Remote, United States
- $160,000 to $210,000 USD / year
- Compute, network and pipeline security. Harden our container, serverless and virtual machine workloads, our network perimeter and our CI/CD pipelines, and add checks so each class of…
Added 1 hour ago
C
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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