Jobs in the United States

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Added 18 mins ago
Software Engineer, Systems ML
Meta
Oklahoma City, OK
Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive…
Added 20 mins ago
GCP Data Engineer (Vertex AI)
Capgemini
New York, NY, NY
Google Cloud Professional Machine Learning Engineer
Added 20 mins ago
AI Architect (Vertex AI)
Capgemini
New York, NY, NY
Google Cloud Professional Machine Learning Engineer
Added 20 mins ago
C
Junior Python AI FullStack Engineer
Capgemini
New York, NY, NY
- $56,186 to $87,556 USD / year
…qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an…
Added 20 mins ago
C
Python AI FullStack Engineer
Capgemini
New York, NY, NY
- $80,420 to $106,050 USD / year
…qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an…
Added 26 mins ago
Principal Engineer Team Lead, Behavior Safety & Metrics
Motional
Remote, United States
We are looking for a highly motivated, technically strong engineer to lead evaluation initiatives across Prediction and Planning. In this role, you will define how we measure, understand,…
Added 40 mins ago
BV
Computer Vision Engineer
Bright Vision Technologies
Sunnyvale / South Bay, CA
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a Computer Vision Engineer to develop image and video analysis solutions for enterprise applications. The engineer will prepare visual datasets, build…
Added 41 mins ago
BV
Natural Language Processing Engineer
Bright Vision Technologies
Irving / Las Colinas, TX
- $115,000 to $165,000 USD / year
Job Title: Natural Language Processing Engineer
Added 45 mins ago
TT
Senior Data & Machine Learning Engineer
True Talent Solutions Partners
New York, NY
- $200,000 to $300,000 USD / year
- Create dashboards and automated scorecards for performance and key recommendation metrics.
Added 52 mins ago
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Senior Security Engineer, Infrastructure
Chainalysis
Remote, United States
- $167,790 to $227,010 USD / year
As a Senior Security Engineer, Infrastructure, you’ll help secure and operate the cloud and Kubernetes environments that support Chainalysis products and our Hosted AI Platform (HAIP).…
Added 55 mins ago
Quality Engineer (AI Testing)
CGI Technologies and Solutions, Inc.
Atlanta, GA
We are seeking a Quality Engineer to support AI related testing efforts for our team. This is an exciting opportunity to join a well-known brand.
Added 55 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 1 hour ago
AI Architect
CGI Technologies and Solutions, Inc.
Montreal, CA
Helping data engineer and prompt engineer the LLM solutions end-to-end to enhance end user experience
Added 1 hour ago
Software Engineer, Cisco Cloud Control / Catalyst Center
Cisco
Milpitas, CA
Experience improving UI performance, accessibility, reliability, and product adoption through data-driven engineering.
Added 1 hour ago
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Principal Field Solution Engineer
Cognizant
South San Francisco, CA
- $200,000 to $250,000 USD / year
The Principal Field Solution Engineer (FSE) is the technical anchor of an enterprise platform deal - an intensely client-facing and market-facing role at the front line of our go-to-market…
Added 1 hour ago
Data Engineer II, Creator Services
Amazon
Culver City, CA
We are seeking a skilled Data Engineer to join our Data & Tech team in building robust, production-ready systems that drive creator monetization at scale. Operating at the intersection of…
Added 1 hour ago
Staff Failure Analysis Engineer
SanDisk
Milpitas, CA
…portfolio of products that are recognized globally for innovation, performance and…
Added 1 hour ago
Senior Staff Failure Analysis Engineer
SanDisk
Milpitas, CA
…portfolio of products that are recognized globally for innovation, performance and…
Added 1 hour ago
AI Engineering Experienced Manager, Digital Transformation & Innovation
BDO USA Experienced
Grand Rapids, MI · Woodbridge, NJ
Ensures AI capabilities meet defined product, assurance service delivery, performance, usability, and reliability objectives
Added 1 hour ago
Lead AI Engineer
Perficient
DALLAS, TX
We are looking for a Lead AI Engineer to design, develop, and deploy scalable Generative AI and conversational AI solutions for enterprise environments. This role leads the implementation…
Added 1 hour ago
IG
SDET
Insight Global
Remote, United States
- From $65 USD / hour
Exposure to performance testing tools such as k6, JMeter, or Azure Load Testing
Added 1 hour ago
SoC Physical Design Engineer
Meta
Redmond, WA
…through creating advanced AI enabled wearables. The compute performance and power efficiency requirements of wearables require custom silicon. Reality Labs Silicon team is driving the…
Added 1 hour ago
Systems Engineer, Data Systems
Meta
Redmond, WA
Meta Reality Labs is seeking a Staff Systems Engineer to define and drive hardware systems architecture for next-generation ground truth data collection systems. In this role, you will own…
Added 1 hour ago
Software Development Engineer III, AAIS Mosaic Data Platform
Amazon
Seattle, WA
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowled
Added 1 hour ago
Senior Software Development Engineer AWS Connect, Cascades, Amazon Connect
Amazon
Seattle, WA
Identify and resolve complex technical problems across distributed systems, including performance optimization, fault tolerance, and data consistency

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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