Multimodal ML Researcher — Frontiers in AI

Apple Inc.; Cambridge (MA); On-site; USD 166,000 - 250,000; Full time

Job summary

Apple Inc. in Cambridge, MA is seeking a Machine Learning Applied Researcher to advance state-of-the-art models for speech, vision and audio.

You will conduct research, design novel neural architectures, and publish findings while balancing latency and compute constraints within a production environment. The role emphasizes cross-disciplinary collaboration, cutting-edge experiments, and contributions to interdisciplinary teams across Apple.

Qualifications

• BS in Computer Science, Electrical Engineering, or related field - or equivalent practical experience.
• Experience in academic or industry research.
• Experience working with PyTorch.

Responsibilities

• Research and develop cutting-edge deep learning models and algorithms, leveraging multiple data modalities (e.g., vision, audio, sensor, text).
• Design and implement novel neural network architectures solving unique challenges in ASR.
• Navigate ambiguous problem spaces - formulate hypotheses, run experiments, learn from negative results, and iterate toward solutions.
• Improve model performance while maintaining awareness of deployment constraints such as latency, memory, and compute.
• Collaborate across teams, synthesizing approaches from different fields into solutions that work with and benefit the entire organization.
• Communicate findings clearly to stakeholders and team members.
• Stay current with scientific literature on frontier ML methods and identify opportunities to apply new ideas.

Skills

Research experience

Multidisciplinary background

Analytical skills

Publications in ML venues

Education

BS in Computer Science, Electrical Engineering, or related field

MS or PhD in Computer Science, Electrical Engineering, or related field

Tools

PyTorch

Job description

Apple Inc. in Cambridge, MA is seeking a Machine Learning Applied Researcher to advance state-of-the-art models for speech, vision and audio.

You will conduct research, design novel neural architectures, and publish findings while balancing latency and compute constraints within a production environment. The role emphasizes cross-disciplinary collaboration, cutting-edge experiments, and contributions to interdisciplinary teams across Apple.