Machine Learning Engineer, SIML

Apple, Inc.; Cupertino (CA); Presencial; USD 150.000 - 278.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock programs

Medical and dental coverage

Retirement benefits

Tuition reimbursement

Relocation support

Descripción de la vacante

Apple in Cupertino seeks a machine learning research engineer to build modern generative models based on diffusion and autoregressive technologies. You will work on the core modeling technology behind Apple Intelligence, applying research to real products and optimizing models for on-device performance.

The role requires an advanced degree and hands-on experience training large-scale generative models, plus proficiency in PyTorch, TensorFlow or JAX and clear communication.

Formación

• M.S. or PhD in Computer Science or related field.
• 2+ years of experience training and fine-tuning modern image/video generation models.
• Proficient with ML frameworks and strong communication abilities.

Educación

M.S. or PhD in Computer Science or related field

Herramientas

PyTorch

TensorFlow

JAX

Descripción del empleo

Cupertino, California, United States Machine Learning and AI

Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence. We are part of the Intelligent System Experiences team at Apple and work on the core modeling technology behind Genmoji, Image Playground and Image Wand. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimizations, you will have the unique opportunity to advance and ship state-of-the-art technology that impacts Apple users around the world!

Description

We are seeking a machine learning research engineer with experience building modern generative models based on diffusion and auto-regressive technologies. The ideal candidate has solid ML fundamentals, experience with applied research, and hands-on knowledge training and adapting large scale image/video/audio/multimodal foundation models. You will stay at the forefront of the latest AI research to rapidly apply impactful developments while simultaneously pioneering proprietary, experimental ideas designed specifically for Apple’s unique ecosystem.

Minimum Qualifications

• M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience.
• 2+ years of experience working on training and fine-tuning modern image / video generation models
• Experience working in an academic or industrial research environment
• Proficient in an ML framework such as PyTorch, TensorFlow, JAX
• Excellent communication skills and an ability to drive clarity in ambiguous circumstances

Preferred Qualifications

• Track record of strong industrial research, including delivery of complex projects or publications in top-tier venues

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 $150,400 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace.

Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.