3,406 jobs for "Senior Engineer"

Product Design Engineering Lead - Beats

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Product Design Engineering Lead - Beats

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Lead SRE

At Apple

Posted on Oct 15

View job Apply on company site

Structural and Dynamic Systems Tech Specialist - Experimental 应力力学测试主管

At Cummins - Chongqing

Posted on Oct 15

View job Apply on company site

Digital Engineering TPL

At Cummins - Beijing

Posted on Oct 9

View job Apply on company site

Electronic Systems Technical Specialist - Software

At Cummins - Pune

Posted on Oct 6

View job Apply on company site

Techniker/Meister (m/w/d) mit Schwerpunkt Energietechnik

At Equinix - Remote / Flexible

Posted on Oct 5

View job Apply on company site

Sr. Manager Software Engineering (Individual Contributor)

At Capital One

Posted on Sep 26

View job Apply on company site

Product Engineering Specialist

At Cummins - Chongqing

Posted on Sep 10

View job Apply on company site

Product Systems Design Engineering Product Specialist

At Cummins - Chongqing

Posted on Sep 10

View job Apply on company site

Application Support Analyst

At Appian - Sydney

Posted on Sep 25

View job Apply on company site

Senior Materials and Process Engineer

At Leidos - Huntsville

Posted on Nov 6

View job Apply on company site

Senior Electrical Design & Integration Engineer

At Leidos - Huntsville

Posted on Oct 22

View job Apply on company site

Senior ID & Access Management Engineer

At Navy Federal Credit Union - Pensacola

Posted on Oct 22

View job Apply on company site

Senior ID & Access Management Engineer

At Navy Federal Credit Union - Vienna

Posted on Oct 22

View job Apply on company site

Senior Manager, Machine Learning Engineer (People Leader)

At Capital One - New York · Plano

Posted on Oct 21

View job Apply on company site

Senior Windows Server Automation Engineer

At TD Bank - Toronto

Posted on Oct 20

View job Apply on company site

Senior Staff Machine Learning Engineer, ML Platform

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Senior Staff Machine Learning Engineer, ML Platform

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Senior Rendering Engine Software Engineer

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Apple

Senior Staff Machine Learning Engineer, ML Platform

Cupertino, CA$262,500 – $394,000Posted 21 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. Apple Ads 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 teams at Apple Ads to easily and rapidly develop, deploy and operate innovative ML applications at scale by providing a self-serve, unified platform with foundational infrastructure in model training, inference and agentic AI, as well as associated data and application services.

Are you a results-oriented and versatile engineer who can excel in an Agile environment? You will work closely with other ML engineers and scientists to design, develop, and build world-class platform capabilities that will enable Apple Ads 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 Apple Ads teams. As a key contributor to this team, you will design and develop model training and fine-tuning infrastructure at scale. You will enjoy building high-performing, elegant machine learning systems from the ground up, in close partnerships with various teams, both within and outside Apple Ads. 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

Prior experience in privacy-preserving ML using techniques such as federated learning and differential privacy

Experience with LLM training and inference - pre-training, SFT, verifiable RL rewards, inference-Familiarity with Agentic AI

PhD/MS/BS in Computer Science or related field with 10+ years of industry experience in building ML systems

Minimum Qualifications

Experience building shared ML platforms, frameworks or services used by multiple teams or organizations.

Deep understanding of the ML lifecycle, including training pipelines, evaluation methodologies, and deployment patterns.

Deep understanding of deep learning architectures (Transformers, LLMs, DNNs) and training frameworks (TensorFlow, PyTorch)

Prior experience applying ML at scale in Ads, recommender systems, information retrieval or related domains.

Prior experience in distributed training at scale and optimization techniques like model pruning, compression, quantization & distillation.

Prior experience building AI/ML tooling for model fine-tuning and training, and/or infrastructure at scale

Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams

Results oriented with strong technical leadership skills and a desire to work in a fast-paced collaborative work environment

Curious business attitude with a proven ability to seek projects with a sense of ownership.

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 $262,500 and $394,000, 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