Sr Machine Learning Engineer - ML Platform

New York, NY, US • Posted 9 hours ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • Microsoft Excel
  • Modeling
  • ADS
  • Partnership
  • Network
  • Scalability
  • Writing
  • API
  • Continuous Integration
  • Continuous Delivery
  • Evaluation
  • Deep Learning
  • PyTorch
  • TensorFlow
  • Information Retrieval
  • Problem Solving
  • Conflict Resolution
  • Debugging
  • Performance Tuning
  • Advertising
  • Training
  • Use Cases
  • Artificial Intelligence
  • Privacy
  • Computer Science
  • Machine Learning (ML)

Summary

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!

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 SDKs, API, and automation UIs used by development teams

Proven experience building automation and CI/CD

Passionate about improving the developer experience for AI/ML practitioners

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

Solid 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

Strong problem solving, debugging and performance tuning skills

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

Preferred Qualifications

Experience in advertising industry

Experience with distributed training and/or optimizing large-scale models for low-latency serving

Experience building infrastructure for diverse sets of model development use cases including LLMs, multimodal models, classical ML, and reinforcement learning.

Experience building and/or operationalizing foundation models

Experience with agentic AI

Prior experience in privacy-preserving ML

Education & Experience

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 87f69ce526bc008a08b2beef2f3db361
  • Posted 9 hours ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

New York, New York

Today

Full-time

USD 244,000.00 - 320,000.00 per year

New York, New York

Today

Full-time

USD 140,800.00 - 176,000.00 per year

Jersey City, New Jersey

Today

Full-time

USD 175,750.00 - 260,000.00 per year

Jersey City, New Jersey

21d ago

Easy Apply

Full-time

$140,000 - $180,000

Search all similar jobs