Job description

We are seeking a candidate with a strong background in applied ML research and development, particularly in multimodal LLM, natural language processing/generation, speech generation/understanding, to join our cross-functional team focused on advancing capabilities in systems like Siri. We are looking for applied ML researchers who can develop end-to-end solutions from data scaling to necessary model implementation and training while collaborating with other engineering teams to bring research to production. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. To succeed in this role, you should be a strong researcher and engineer, an excellent programmer, and a creative problem solver who enjoys learning new techniques, improving systems, and taking ownership of complex problems. You should also thrive as a team player in a fast-paced environment. M.S. or PhD in Electrical Engineering, Computer Science or related fields 5-7+ years experience in Machine Learning Experience in developing, training/tuning large generative models or LLMs Experience with machine learning frameworks such as JAX and/or PyTorch Proficient programming skills in Python Experience in reinforcement learning Experience with Speech LLMs or other Multimodal LLMs Experience with building & deploying AI agents and LLMs Experience with large scale machine learning training/evaluation Data-centric vision and hands-on experience in developing and scaling foundation models

Requirements

Must-haves

M.S. or PhD in Electrical Engineering, Computer Science or related fields
5-7+ years experience in Machine Learning
Experience in developing, training/tuning large generative models or LLMs
Experience with machine learning frameworks such as JAX and/or PyTorch
Proficient programming skills in Python
Experience in reinforcement learning
Experience with Speech LLMs or other Multimodal LLMs
Experience with building & deploying AI agents and LLMs
Experience with large scale machine learning training/evaluation
Data-centric vision and hands-on experience in developing and scaling foundation models

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlllmmachine learningpythonai

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

Vision