Machine Learning Engineer - Vision Products Software

Apple Inc.; Sunnyvale (CA); On-site; USD 175,000 - 308,500; Full time

Job summary

Apple Inc. is seeking a Machine Learning Engineer to prototype, build, and ship conversational and generative AI systems for Vision devices.

You will work at the intersection of ML research and product engineering, translating ideas into scalable, privacy-preserving features within Apple’s Vision products. You will collaborate with researchers, PMs, designers, and platform engineers to define problems, iterate on solutions, and ship features that meet Apple’s reliability and privacy standards.

Qualifications

• PhD +3 yrs or MS +5 yrs relevant experience in AIML/CS/EE fields.
• Strong experience with deep learning, NLP and/or multimodal models.
• Hands-on with generative AI systems, CV models, including prompt design, fine-tuning, evaluation.

Responsibilities

• Design and implement ML models for conversational understanding, generation, and personalization.
• Prototype and evaluate new model architectures and prompting strategies.
• Translate research ideas into production-ready systems across teams.

Skills

Deep learning

NLP

Multimodal models

Python

PyTorch

Production systems

Communication skills

Prompt design

Education

PhD or MS in AIML/CS/EE

Tools

TensorFlow

Deployment tooling

Job description

Machine Learning Engineer - Vision Products Software

Los Angeles, California, United States Machine Learning and AI

AI is transforming how people interact with technology, and Apple is building the next generation of intelligent, privacy-preserving experiences across its platforms. We’re looking for a Machine Learning Engineer to help prototype, build, and ship conversational and generative AI systems that feel deeply human, responsive, and trustworthy. In this role, you’ll work at the intersection of machine learning research and product engineering—rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. You’ll contribute to foundational capabilities that power conversational understanding, generation, personalization, and embodied interactions for Apple's Vision devices.

Description

As a Machine Learning Engineer on our team, you will design, prototype, and deploy ML-driven features that power conversational and generative experiences. You’ll work hands‑on with modern model architectures; ranging from large language and multimodal models to ranking and personalization system and integrate them into production frameworks used at scale. You’ll collaborate closely with researchers, product managers, designers, and platform engineers to align on problem definitions, iterate on solutions, and ship features that meet Apple’s standards for reliability, privacy, and delight. This role balances experimentation with execution: moving quickly when exploring new ideas, and rigorously when transitioning work into production.

Responsibilities

• Design and implement ML models and algorithms for conversational understanding, generation, and personalization
• Rapidly prototype and evaluate new model architectures, prompting strategies, and fine‑tuning approaches
• Translate research ideas into production‑ready systems, collaborating across teams to ensure smooth integration
• Contribute to end‑to‑end ML pipelines, from data exploration and model training to deployment and evaluation
• Write clean, maintainable, and well‑tested code that meets Apple’s production standards
• Participate in architecture discussions, design reviews, and peer code reviews
• Help shape technical direction and contribute to roadmaps for next‑generation AI capabilities.

Minimum Qualifications

• Phd +3yrs or MS + 5yrs relevant experience in related field (AIML, CS, EE etc.)
• Strong experience with deep learning, particularly in natural language processing and/or multimodal models
• Hands‑on experience with modern generative AI systems and computer vision models, including prompt design, fine‑tuning, and evaluation
• Familiarity with ranking, retrieval, and personalization algorithms
• Proficiency in Python and experience with ML frameworks such as PyTorch (TensorFlow a plus)
• Experience integrating ML models into production systems
• Strong communication skills and the ability to collaborate across disciplines
• Curiosity, pragmatism, and a product‑oriented mindset

Preferred Qualifications

• Experience with conversational AI systems or interactive ML‑driven experiences
• Exposure to multimodal or embodied AI systems (voice, animation, agents, or real‑time interaction)
• Familiarity with Apple platforms, frameworks, or ML infrastructure
• Evaluation based measurement expertise using eval frameworks to measure non‑deterministic experiences for consumer facing products

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 $175,000 and $308,500, 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.