313 jobs for "Sr Systems Engineer"

Sr. GIS Solution Engineer - Infrastructure

At Esri - Remote / Flexible

Posted on Jun 6

View job Apply on company site

Sr. Adobe Experience Platform (AEP) Engineer

At Esri - Redlands

Posted on May 5

View job Apply on company site

Sr. C++ Software Development Engineer - ArcGIS Geocoding Algorithms

At Esri - Redlands

Posted on May 1

View job Apply on company site

Sr. Software Engineer - Apple Cloud Product Services

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Sr. Software Engineer, Enterprise Technology Services

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Sr. Machine Learning Engineer, Foundation Models Inference - Cloud OS & Inference

At Apple - Santa Clara

Posted on Oct 17

View job Apply on company site

Sr. Software Development Engineer - Web Developer

At Esri - Redlands

Posted on Feb 20

View job Apply on company site

Sr. Machine Learning Engineer

At Apple - Santa Clara

Posted on Oct 15

View job Apply on company site

Sr Software Engineer, Apple Cloud Networking

At Apple - Sunnyvale

Posted on Oct 14

View job Apply on company site

Sr. Tools & Automation Engineer

At Apple - Cupertino

Posted on Oct 11

View job Apply on company site

Sr Machine Learning Engineer - ML Data

At Apple - Cupertino

Posted on Oct 10

View job Apply on company site

Sr. Software Engineer (Data Solutions), IS&T Ai & Data Platforms

At Apple - Austin

Posted on Oct 10

View job Apply on company site

Sr. Offensive Cyber Engineer

At Leidos - Lawton

Posted on Oct 30

View job Apply on company site

Full-stack Engineer 5 (Sr Manager, IC)

At Capital One - McLean

Posted on Nov 8

View job Apply on company site

Software Development Engineer Expert

At Equinix - Remote / Flexible

Posted on Oct 27

View job Apply on company site

z/OS Connect Systems Programmer

At TD Bank - Toronto

Posted on Oct 28

View job Apply on company site

Lead Software Engineer - Forward Deployed Engineering, ITC

At Nike

Posted on Oct 29

View job Apply on company site

Sr.Software Engineer(Salesforce Platform)

At Toyota North America - Plano

Posted on Oct 27

View job Apply on company site

Cyber Threat Defense Sr AI/ML Engineer

At Bank of America - Chicago · Washington

Posted on Oct 22

View job Apply on company site

Sr. DevOps Engineer

At Leidos - Bethesda

Posted on Oct 30

View job Apply on company site

Apple

Sr Machine Learning Engineer - ML Data

Cupertino, CA$184,700 – $277,600Posted 29 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 Apple Ads 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 the App Store, Apple Maps, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy.

The Apple Ads Machine Learning Platform team's mission is to empower Ads 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 a fast-paced environment? You will work closely with ML engineers and scientists to design, develop, and build world-class platform capabilities that will enable 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 Ads 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 solutions for the unique ad network challenges we face. 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

Preferred Qualifications

Experience in advertising industry

Experience with LLM-based data generation or evaluation

Familiarity with large-scale distributed training and its demands on data infrastructure

Prior experience in privacy-preserving ML

Familiarity with agentic AI

PhD in Computer Science or related field with 3+ years of engineering experience and 5+ years of machine learning experience; or MS in Computer Science or related field with 6+ years of engineering experience and 5+ years of machine learning experience; or BS in Computer Science or related field with 7+ years of engineering experience and 5+ years of machine learning experience

Minimum Qualifications

Experience writing mission-critical code for production machine learning systems

Experience building ML infrastructure, frameworks or services used by multiple teams

Experience building or operating feature stores, or comparable ML data infrastructure serving production models

Experience with embedding management: generating and versioning embeddings, refresh and retirement policy, and storing and serving them for retrieval at scale

Solid understanding of the ML lifecycle: training, evaluation, deployment and serving/inferencing, with working experience building and deploying models

Understanding of model evaluation, train-serve skew and data drift

Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow

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

Experience with training data generation across multi-modal data (text, image and structured), including sampling and point-in-time correctness

Experience building production data pipelines for ML systems where scale and performance are critical using distributed processing systems.

Experience building ML systems using batch and streaming deployments, workflow orchestration and modern storage formats

Strong data modeling and data architecture skills, with a high bar for system and data quality: correctness, reliability, testing and validation

Strong problem solving, debugging and performance tuning skills, and pride in building automation, tooling and CI/CD

Results oriented, with the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams

Product-minded 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 $184,700 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.

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