Machine Learning Research Engineer, SIML - ISE

Apple • Cupertino, CA

5d

About The Position

The System Intelligence Machine Learning (SIML) organization is seeking a Machine Learning Research Engineer focused on multimodal perception and reasoning. The role works across modalities such as vision, language, gesture, gaze, and touch to support intuitive, personalized intelligence experiences across the Apple ecosystem. It requires experience with vision-language models and the ability to fine-tune, adapt, or distill multimodal large language models.

As part of an applied research organization, the engineer will help design and develop models and algorithms for multimodal perception and reasoning using Vision-Language Models (VLMs) and Multimodal Large Language Models (MLLMs). The role involves collaborating with researchers, engineers, and cross-functional teams to explore techniques, evaluate performance, and translate product needs into machine-learning solutions for user-facing features across Apple devices.

Requirements

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or relevant industry experience.
• Proficiency in Python and deep-learning frameworks such as PyTorch or equivalent.
• Practical experience 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.
• Experience with vision-language models and ability to fine-tune, adapt, or distill multimodal large language models.

Nice To Haves

• Research contributions demonstrated through publications in top-tier conferences and journals.
• Background in multimodal reasoning, VLM, and MLLM research, with impactful software projects.
• Solid understanding of natural language processing (NLP) and computer vision fundamentals.

Responsibilities

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

What This Job Offers

• Job Type: Full-time