Find work in the United States.

A simpler way to find your next job.

Jobs in the United States

25+ jobs

Save this search

Added 9 mins ago
Data Center Controls Engineer, Boling, TX
Amazon
Boling, TX
…Canada, and Latin American countries to support construction and data center product delivery. Must have valid passport, be able to obtain visas, and be able to meet travel, entry, and…
Added 9 mins ago
Sr. Solutions Consultant
Sprinklr
Remote, United States
…Our vision was clear: to unify fragmented teams, tools and data - helping large organizations build deeper, more meaningful connections with the people they serve. Today, Sprinklr has a…
Added 9 mins ago
Process Control Engineer - Control Systems (53405)
Chevron Phillips Chemical
Orange, TX
You may not realize it, but you’ve likely used a product today made possible by the plastics and chemicals manufactured by Chevron Phillips Chemical. From medical supplies and electronics…
Added 10 mins ago
Principal Software Engineer - Simulation Data, Validation & Infrastructure
Caterpillar, Inc.
Irving, TX
● Partner across simulation, robotics, autonomy, controls, AI, data, cloud, product, and customer-facing organizations.
Added 10 mins ago
Principal Software Engineer - Agentic AI & Simulation Automation
Caterpillar, Inc.
Irving, TX
● Partner across simulation, robotics, autonomy, controls, AI, data, cloud, product, and customer-facing organizations.
Added 10 mins ago
Principal Software Engineer - Digital Twin and Simulation Platform
Caterpillar, Inc.
Irving, TX
● Partner across simulation, robotics, autonomy, controls, AI, data, cloud, product, and customer-facing organizations.
Added 10 mins ago
Principal Software Engineer - Robotics & Physical AI Simulation
Caterpillar, Inc.
Irving, TX
● Partner across simulation, robotics, autonomy, controls, AI, data, cloud, product, and customer-facing organizations.
Added 10 mins ago
Electrical Engineer I Neuromodulation
Abbott
Plano, TX
Analyze test data and generate technical documentation to support design decisions.
Added 11 mins ago
Regional Economics & Planning Advisor/Engineer
Marathon Petroleum Corporation
San Antonio, TX
Value Chain Optimization (VCO) has an opening for the position of Regional Planning & Optimization Advisor/Engineer. This position will report to the Value Chain Optimization Director -…
Added 11 mins ago
IS Technical Specialist/Back-end Tech Lead
Huntington National Bank
Dallas, TX
…line. We use cloud native application practices and modern data approaches to deliver performant software used by all…
Added 11 mins ago
MC
Principal, Digital Security Engineer
Microsoft Corporation
Dallas, TX
- $130,900 to $272,300 USD / year
As a Principal, Digital Security Engineer you will take the lead in harnessing the power of AI to achieve customer leadership. Your efforts will be instrumental in executing solution sales…
Added 11 mins ago
Lead Planning & Optimization Advisor/Engineer
Marathon Petroleum Corporation
El Paso, TX · Houston, TX · Texas City, TX · San Antonio, TX
The Value Chain Optimization (VCO) team has an opening for a Cross-Regional Planning & Optimization Advisor/Engineer. The Cross-Regional Planning & Optimization Advisor/Engineer plays a…
Added 11 mins ago
IS Technical Specialist/Back-end Tech Lead
Huntington National Bank
Houston, TX
…line. We use cloud native application practices and modern data approaches to deliver performant software used by all…
Added 11 mins ago
Senior Data Engineer
Marathon Petroleum Corporation
Houston, TX · San Antonio, TX
As a Senior Data Engineer, you will design, develop, and optimize scalable data pipelines and cloud-based data solutions using modern data architecture, Azure data services, including Data…
Added 11 mins ago
HT
Advanced Mechanical Engineer - Heat Exchangers
Honeywell Technologies
Houston, TX
- $114,000 to $163,000 USD / year
…operation, and capabilities of heat exchangers. You will develop the product designs necessary to drive product improvement and will be integral in securing present and future business by…
Added 11 mins ago
OneStream Lead Analytics and Insights Engineer II Manager
Deloitte
Houston, TX · Fort Worth, TX · Westlake, TX · Dallas, TX
Oversee integrations between OneStream and enterprise platforms, including enterprise resource planning and data warehouse environments
Added 11 mins ago
HT
Advanced Chemical Engineer- Fired Heaters
Honeywell Technologies
Houston, TX
- $104,000 to $149,000 USD / year
…operation, and capabilities of fired heaters. You will develop the product designs necessary to drive product improvement and will be integral in securing present and future business by…
Added 11 mins ago
IS Technical Specialist/Back-end Tech Lead
Huntington National Bank
Austin, TX
…line. We use cloud native application practices and modern data approaches to deliver performant software used by all…
Added 11 mins ago
Cybersecurity, Privacy and Forensics - Palo Alto Networks XSIAM Engineer
PwC
Austin, TX · Houston, TX · Dallas, TX
As a SecOps Engineer specializing in Palo Alto Networks XSIAM or Google technologies, you will play a pivotal role in identifying and analyzing potential threats to an organization's…
Added 11 mins ago
C
Java Full Stack Engineer with Spring boot/AWS Experience
Cognizant
Austin, TX
- $86,000 to $99,000 USD / year
As a Java Full Stack Engineer with Spring boot/AWS exp, you will make an impact by designing and delivering scalable, cloud-native healthcare payer applications that improve payment…
Added 11 mins ago
C
AI Data Engineer
Cognizant
Austin, TX
- $100,000 to $115,000 USD / year
As an AI Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-native data engineering solutions that enable advanced AI-driven applications and…
Added 11 mins ago
C
AI Data Engineer
Cognizant
Austin, TX
- $100,000 to $115,000 USD / year
As an AI Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-native data engineering solutions that enable advanced AI-driven applications and…
Added 11 mins ago
Lead AI and Data Science Engineer II- Marketing Measurement
Deloitte
Fort Worth, TX · Houston, TX · Austin, TX · Dallas, TX · San Antonio, TX · Westlake, TX
Are you an experienced, passionate pioneer in data and technology who wants to work in a collaborative environment? As an experienced Lead AI and Data Science Engineer II - Marketing…
Added 15 mins ago
C
Software Engineer - Crowdsourcing Platform
Calder
Redwood City, CA
- $125,000 to $250,500 USD / year
Calder is solving the data bottleneck for embodied AI and world models. Today's AI models lack the real-world, 4D data needed to reason on spatial problems and operate in physical…
Added 15 mins ago
C
Research Engineer - Data Eval
Calder
Redwood City, CA
- $199,000 to $483,000 USD / year
…prototypes and tools that run at scale on real sensor and trajectory data. You lead technically, mentor naturally, and partner well across research, robotics, engineering, and product. You…

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

Apply About employer

Applications open in a new tab.

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.

Apply About employer

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

Report this job