694 jobs for "Staff Engineer"

Staff Software Engineer, AI Infrastructure

At Equinix - Remote / Flexible

Posted on Oct 29

View job Apply on company site

IND Staff Software Engineer

At The Hartford - Hyderabad

Posted on Oct 21

View job Apply on company site

Staff ML Engineer - Ads ML Infrastructure

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Staff Observability Engineer

At Equinix - Remote / Flexible

Posted on Oct 28

View job Apply on company site

IND Staff Engineer, Infrastructure - Linux Platform Engineer

At The Hartford - Hyderabad

Posted on Oct 21

View job Apply on company site

Staff Machine Learning Engineer, Siri Runtime Systems and Interaction

At Apple

Posted on Oct 16

View job Apply on company site

Staff Site Reliability Engineer

At Equinix - Remote / Flexible

Posted on Oct 27

View job Apply on company site

Staff AI Software Engineer, Siri User Experiences

At Apple - Cupertino

Posted on Oct 16

View job Apply on company site

IND Senior Staff Software Engineer

At The Hartford - Hyderabad

Posted on Oct 15

View job Apply on company site

Application Engineer Sr Staff

At Ansys - Hanoi

Posted on Oct 24

View job Apply on company site

IT - Staff Network Engineer

At Cadence Design Systems - Osaka

Posted on Aug 9

View job Apply on company site

IT- Staff Systems Engineer (SFDC Dev 1)

At Cadence Design Systems - Noida

Posted on May 29

View job Apply on company site

Staff Engineer - Banking Products

At Adyen - Amsterdam

Posted on Aug 18

View job Apply on company site

Staff AI Engineer (Remote Eligible)

At Capital One - Remote / Flexible

Posted on Oct 3

View job Apply on company site

Staff Engineer - Intelligent Customer Experiences

At Adyen - San Francisco

Posted on Jul 31

View job Apply on company site

Staff Engineer -Developer Insights & AI Telemetry

At Capital One - New York · Richmond

Posted on Oct 2

View job Apply on company site

Staff AI Engineer role (Remote Eligible)

At Capital One - Remote / Flexible

Posted on Oct 1

View job Apply on company site

Staff Software Engineer - Fraud Intelligence

At Adyen - Amsterdam

Posted on Jul 29

View job Apply on company site

Staff Engineer - Ad Tech

At Xperi - Bangalore

Posted on Sep 21

View job Apply on company site

Staff Engineer, Delivery

At Aristocrat - Austin

Posted on Oct 9

View job Apply on company site

Apple

Staff ML Engineer - Ads ML Infrastructure

Cupertino, CA$184,700 – $324,800Posted 22 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

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!

Preferred Qualifications

PhD, MS, or BS in computer science or a related field, with 8+ years of experience in machine learning and strong software engineering skills.

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.

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.

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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile