Multimodal ML Research Engineer (Vision & Language)

Apple, Inc.; Cupertino (CA); In loco; USD 150.000 - 278.000; Tempo pieno

Descrizione del lavoro

Apple, Inc. in Cupertino, California, seeks a Machine Learning Research Engineer to advance multimodal perception and reasoning.

You will design and adapt models using Vision-Language Models and Multimodal LLMs, collaborating across teams to translate product needs into impactful ML solutions for billions of devices. The role emphasizes hands-on experimentation, model training, evaluation, and communicating results to both technical and non-technical stakeholders, with a strong focus on

Competenze

• Master’s or Ph.D. in Computer Science, AI, ML, or related field — or relevant industry experience.
• Proficiency in Python and deep learning frameworks such as PyTorch, or equivalent.
• Practical experience with training and evaluating neural networks.
• Familiarity with multimodal learning, vision-language models, or large language models.
• Strong problem-solving skills and ability to work in a collaborative, product-focused environment.
• Ability to communicate technical results clearly and concisely.

Mansioni

• Contribute to the development and adaptation of AI/ML models for multimodal perception and reasoning.
• Innovate robust algorithms that integrate visual and language data for comprehensive understanding.
• Collaborate closely with cross-functional teams to translate product requirements into effective ML solutions.
• Conduct hands-on experimentation, model training, and performance analysis.
• Communicate research outcomes effectively to technical and non-technical stakeholders, providing actionable insights.
• Stay current with emerging methods in VLMs, MLLMs, and related areas.

Conoscenze

Python

Deep learning

Formazione

Master’s or Ph.D. in Computer Science, AI, ML, or related field

Strumenti

PyTorch

Descrizione del lavoro

Apple, Inc. in Cupertino, California, seeks a Machine Learning Research Engineer to advance multimodal perception and reasoning.

You will design and adapt models using Vision-Language Models and Multimodal LLMs, collaborating across teams to translate product needs into impactful ML solutions for billions of devices. The role emphasizes hands-on experimentation, model training, evaluation, and communicating results to both technical and non-technical stakeholders, with a strong focus on