Machine Learning Engineer — Generative Models, Productivity Apps at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Aug, 26

Salary

0.0

Posted On

22 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative Modeling, PyTorch, JAX, Diffusion Models, GANs, VAEs, Autoregressive Image Models, Computer Vision, Machine Learning, Image Decomposition, Image Editing, Large-scale Model Training, Parallelization, Software Development

Industry

Computers and Electronics Manufacturing

Description

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Productivity Apps team, the team behind apps like Notes, Freeform, and iWork needs your help shaping the next generation of productivity tools by working on pioneering technologies to surprise and delight our users. As a Machine Learning Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the productivity space in ways that only Apple can. This is a highly visible, highly impactful opportunity! DESCRIPTION Join our research-oriented engineering team, and you'll build state-of-the-art generative models and applications, partner with cross-functional teams, and deliver end-to-end features to power the next-generation creative tools. The ideal candidate should have deep experience in generative modeling, care about long-term sustainable software development, and can drive features from concept all the way to delivery. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization. MINIMUM QUALIFICATIONS MS + 2 years of industry experience or PhD in Computer Science, Computer Vision, Machine Learning, or related field with publications in generative models Hands-on experience training generative models such as diffusion models, GANs, VAEs, or autoregressive image models. Strong programming skills in PyTorch or JAX. PREFERRED QUALIFICATIONS Experience with compositional or layout-conditioned image generation, or image decomposition/editing Experience deploying models to memory or compute constrained environments. Experience with large-scale model training and parallelization. Track record of publications in top-tier machine learning or computer vision conferences (e.g., CVPR, ICCV, ECCV, NeurIPS/ICML, SIGGRAPH, CHI).

Responsibilities

Build state-of-the-art generative models and applications to power next-generation creative productivity tools. Collaborate with cross-functional teams to drive features from initial concept through to final delivery.