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Added 2 mins ago
CO
Environmental Specialist I
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Bedford, TX
- $30.51 to $38.12 USD / hour
Under the direction of the City Engineer, this position is responsible for assigned Environmental programs, which may include stormwater management, surface water pollution control, water…
Added 4 mins ago
Data and ML Engineer
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Added 6 mins ago
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Network Engineer
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Associate Software Engineer
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- $112,700 to $193,200 USD / year
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Added 19 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 19 mins ago
Principal Platform Engineer - People Systems
Apple
Sunnyvale, CA
When you engineer for People Systems, your users are Apple’s most vital asset: its People. We are seeking a visionary Application Architect to shape the technical strategy for People…
Added 20 mins ago
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Security Engineer (Microsoft Defender)
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- $110,000 to $115,000 USD / year
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Added 27 mins ago
Data Engineering/Analytics Support
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Norco, CA · Norco
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Added 27 mins ago
Data Engineering/Analytics Support
CACI
Norco, CA · Norco
We are seeking a flexible, proactive, and detail-oriented engineer with a passion for analytics and a commitment to delivering high-quality products under government direction.
Added 27 mins ago
Data Engineering/Analytics Support
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Norco, CA · Norco
We are seeking a flexible, proactive, and detail-oriented engineer with a passion for analytics and a commitment to delivering high-quality products under government direction.
Added 30 mins ago
Staff Software Architect
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Remote, United States
Google Cloud Professional Architect, GCP Data Engineer, or Azure Solutions Architect certification
Added 35 mins ago
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Senior Security Engineer, Infrastructure Security
ClickUp
Remote, United States
- $160,000 to $210,000 USD / year
…and our customers through secure design, defensive controls, detection and response. We build tooling and automation, including AI-powered workflows, to turn what we learn into lasting…
Added 35 mins ago
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Senior AI Developer
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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…
Added 36 mins ago
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Remote, United States
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Added 41 mins ago
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Added 44 mins ago
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Added 44 mins ago
Enterprise Sales Engineer - Public Sector - West
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As a Public Sector Enterprise Core Sales Engineer at Samsara, you’ll be splitting your time across two major focus areas; (1) supporting senior-level sellers in an attempt to grow existing…
Added 47 mins ago
Software Engineer III | Security
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Support Threat Research and Detection Engineering teams by providing tools and automation to accelerate Research & Development.
Added 48 mins ago
Consultant - R01573317
Brillio
Remote, United States
Added 57 mins ago
SME Network Engineer
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Added 57 mins ago
Senior Network Engineer (Firewall)
CACI, INC.-FEDERAL
Ashburn, VA
Job Title: Senior Network Engineer (Firewall)

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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