Senior ML Engineer - Computer Vision | On-Device AI

Apple, Inc.; Sunnyvale (CA); In loco; USD 185.000 - 325.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical & Dental

Retirement Benefits

Product discounts

Education reimbursement

Bonus potential

Relocation assistance

Descrizione del lavoro

Apple, Inc. in Sunnyvale, California is seeking a Senior Machine Learning Engineer to design and implement advanced systems for spatial computing and AI.

The ideal candidate translates cutting-edge research into production‑ready solutions, collaborating with CVML researchers to ship world‑class algorithms powering on‑device experiences. The role spans end‑to‑end work, from creating a unified context representation to a scalable device‑agnostic framework, ensuring efficient on‑device inference

Competenze

• B.S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.
• Strong experience in Python.
• Foundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems.

Mansioni

• Working with ML and system engineers and designers to develop quick proof-of-concepts with novel hardware for innovative applications.
• Implementing and optimizing algorithms to run efficiently on mobile devices.
• Building and optimizing efficient machine learning pipelines.
• Developing cutting-edge AI systems that push the boundaries of what is possible.
• Collaborating cross-functionally to understand algorithmic constraints and dependencies.
• Cooperating with your team members to prepare presentations, papers, and talks to explain your inventions.
• Advising on feature definitions/promising development directions in cross-functional groups.

Conoscenze

Python

Machine Learning

Software Engineering

Formazione

B.S. degree

MS or PhD

Strumenti

C++

Swift

Descrizione del lavoro

Apple, Inc. in Sunnyvale, California is seeking a Senior Machine Learning Engineer to design and implement advanced systems for spatial computing and AI.

The ideal candidate translates cutting-edge research into production‑ready solutions, collaborating with CVML researchers to ship world‑class algorithms powering on‑device experiences. The role spans end‑to‑end work, from creating a unified context representation to a scalable device‑agnostic framework, ensuring efficient on‑device inference