Jobs in the United States

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Added 2 mins ago
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- Helpful background includes automated testing, ETL or data pipelines, simple machine learning or AI workflows, and CAD or drawing-file analysis.
Added 2 mins ago
TT
Senior Data & Machine Learning Engineer
True Talent Solutions Partners
New York, NY
- $200,000 to $300,000 USD / year
- Lead projects from prototype to production, including online learning, feedback loops, ETL/ELT pipelines, and warehouse transformations.
Added 9 mins ago
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Field Service Controls Engineer
Actalent
Grand Rapids, MI
- $63,000 to $75,000 USD / year
Exciting opportunity to join a custom machine manufacturer as an entry level Field Service Engineer. Ideal candidates are those eager to transition into controls, software, mechanical, or…
Added 10 mins ago
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Automation Engineer
Actalent
Asheville, NC
- $52.88 to $57.69 USD / hour
Stay current with manufacturing automation, analytics, Industry 4.0 technologies, and IoT, AI, and machine learning applications to recommend and implement innovative solutions.
Added 12 mins ago
Senior Full-Stack AI Engineer
CGI Technologies and Solutions, Inc.
Atlanta, GA
CGI is seeking a Senior Full-Stack AI Engineer to join our dynamic team and help design, build, and deliver scalable, AI-powered applications. In this role, you’ll work across the…
Added 21 mins ago
Senior Automation Engineer (Sr. Engineer II)
Generate Biomedicines
Somerville, MA
Generate:Biomedicines is seeking an experienced and highly motivated Senior Automation Engineer to join our team at the interface of lab instrumentation, integrated workcells, custom…
Added 29 mins ago
Staff Software Engineer, Ads Safety Format Enablement
Google
Mountain View, CA
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 34 mins ago
AI Architect
CGI Technologies and Solutions, Inc.
Montreal, CA
Being "hands-on" to build, tune, deploy and monitor (MLOps and LLMOps) robust Machine Learning solutions built on RAG and latest GenAI techniques
Added 34 mins ago
HI
NPS Research Engineer (Part Time) - 30667
Huntington Ingalls Industries
Monterey, CA
- Part-time
Know & Grow Your People – Commit to learning and supporting team success.
Added 35 mins ago
Software Engineer - Network Switching
Meta
Menlo Park, CA
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy,…
Added 35 mins ago
Senior Software Engineer, AI/ML, Search Personalization
Google
Mountain View, CA
1 year of experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX.
Added 37 mins ago
Oracle HCM Cloud Software Engineer III
JPMC page
Columbus, OH
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Added 52 mins ago
R
Senior Machine Learning Engineer - AI Cloud
Rippling
Seattle, WA · San Francisco, CA · New York, NY
- $172,800 to $288,000 USD / year
As a Senior Machine Learning Engineer, you will own the end-to-end ML lifecycle for projects within the AI Cloud team: problem formulation, data preparation, model development, evaluation,…
Added 1 hour ago
Staff Software Engineer, Infra, Ads Quality Infrastructure, Dynamo, Google Ads
Google
Mountain View, CA
Experience building data extraction and transformation platforms or working with machine learning infrastructure.
Added 1 hour ago
Artificial Intelligence and Machine Learning Engineer
RIVA Solutions, Inc.
United States
Hands-on experience building and running ML or LLM workloads on Databricks or a major cloud platform (AWS, Azure, or GCP). Examples: data pipelines in PySpark or notebooks, calling hosted…
Added 1 hour ago
Security Engineer II, Ads Security
Amazon
BELLEVUE, WA
The Ads Security organization at Amazon is dedicated to creating innovative technical solutions that detect, assess, and mitigate security risks within Amazon's Advertising businesses. Our…
Added 1 hour ago
SoC Physical Design Engineer
Meta
Redmond, WA
Meta’s mission is to give people the power to build community and bring the world closer together. Our global teams are constantly iterating, solving problems, and working together to…
Added 1 hour ago
Sr. Design Technologist, Websites, Amazon Ads Marketing
Amazon
Seattle, WA
Experience with machine learning (ML) tools and methods
Added 1 hour ago
UG
Senior Data Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
The Enterprise Finance Data Engineering team is seeking a Senior Data Engineer to design, build, and manage the data foundations that power enterprise finance analytics, automation, and…
Added 1 hour ago
AI / Machine Learning Model Development Engineer
Mobis North America
Plymouth, MI
We are seeking a motivated AI/Machine Learning Model Development Engineer to join our team and support ongoing research and engineering projects. In this role, you will collaborate closely…
Added 1 hour ago
Senior Databricks Data Engineer
Growth Acceleration Partners
Remote, United States
…our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for…
Added 1 hour ago
Senior Software Engineer, Infra, Auctions and Prediction Stack
Google
Mountain View, CA
Google Ads is at the forefront of AI innovation, applying machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Added 1 hour ago
Senior AI Engineer (REMOTE)
EnableComp
Remote, United States
The Senior AI Engineer is a hands-on individual contributor who builds, trains, and evaluates machine learning models. The role combines knowledge engineering and data analysis with applied…
Added 2 hours ago
AI/Machine Learning Engineer
Fordham University
Bronx, NY
Reporting to the Assistant Vice President of Enterprise AI, the AI/Machine Learning Engineer supports the advancement of the University’s enterprise AI strategy by designing, building, and…
Added 2 hours ago
Software AI Engineer / Robotics / Brooklyn
Kelly Services
Brooklyn, NY
A technology company is using artificial intelligence and machine learning to accelerate scientific research and development. Its platform combines software, data, and experimental…

Apple

Senior ML Engineer - Ads ML Infrastructure

New York City, NY, United States

The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

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Job details

Pay: The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Posting language: English
Posted: Nov 3, 2026

Original job description

Summary At Apple, we work every day to create products that enrich people’s lives. Our Ad Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy.

The Machine Learning Platform team’s mission is to empower Ad Platforms teams to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers. Are you a results-oriented and versatile engineer who can excel in an Agile environment? You will work closely with engineers and data scientists to design, develop, and build world-class platform capabilities that will enable Ad Platforms teams to improve and scale our ML features, models, and applications.

Description The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Ad Platforms teams. As a key contributor to this team, you will design and develop secure and scalable back-end systems. You will enjoy building high-performing, elegant systems from the ground up, in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solution for the interesting challenges we get to tackle here. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve. You will play a meaningful role building machine learning products which deliver on Apple's privacy commitments and change the way advertising works with data.

Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join a team of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each other’s growth and supporting each other in delivering for our customers!

Minimum Qualifications Proven track record of designing and operating large-scale, low-latency ML Serving platform supporting real-time and batch inference. Experience of model quantization, tensor parallelism, and inference optimizations (e.g ONNX Runtime, TensorRT, vLLM). Actively led evaluation and adoption of such technologies. Experience working on distributed systems (e.g Ray, high-throughput RPC systems) to support scalable inference workloads and hybrid online/offline serving patterns. Hands-on experience designing and optimizing low-level GPU kernels to maximize hardware utilization, bypass memory bandwidth bottlenecks, and accelerate deep learning primitives. Prior experience in advertising industry, federated learning and privacy-preserving ML techniques. Recognized as a technical leader and mentor, supports the growth of engineers through code/design reviews, working groups, and internal knowledge sharing. Led development of foundational AI/ML platforms and tooling including Feature Stores, Vector DB to accelerate team productivity and model lifecycle management. Experience performance tuning & trouble-shooting. Passionate about developer experience builds abstractions, automation tools, and reusable components to streamline ML workflows and reduce operational burden. Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams. Results oriented with a desire to work in a fast-paced and collaborative work environment.

Preferred Qualifications PhD, MS, or BS in computer science or a related field, with 6+ years of experience in machine learning and strong software engineering skills.

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 $150,400 and $277,600, 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.

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