Job description

We are looking for a senior technical leader experienced in architecting and deploying production scale multimodal ML. An ideal candidate has the ability to lead diverse cross functional efforts ranging from ML modeling, prototyping, validation and private learning. Solid ML fundamentals and an ability to place research contributions with respect to state of the art would be an essential part of the role. Experience with training and adapting large language models would be an important need. This role includes the opportunity to partner with world class system engineers to prototype and incorporate bleeding edge algorithmic innovations in the context of emerging agentic experiences. Ability to interface with large scale modeling & data infrastructure is a huge plus. PhD with 5+ years experience or MS with equivalent experience, in Computer Science/Electrical Engineering, or a related field (mathematics, physics or computer engineering); with a focus on machine learning, or comparable professional experience. Hands on experience training LLMs/adapting pre-trained LLMs for downstream tasks & alignment. Modeling experience at the intersection of NLP and Vision. Proficiency in ML toolkit of choice, e.g., PyTorch. Strong programming skills in Python. Proven track record of research contributions demonstrated through publications in top-tier conferences, or open source contributions to algorithm. Experience with building & deploying Multimodal-LLMs. Familiarity with distributed training and large-scale data infrastructure.

Requirements

Must-haves

Hands on experience training LLMs/adapting pre-trained LLMs for downstream tasks & alignment.
Modeling experience at the intersection of NLP and Vision.
Proficiency in ML toolkit of choice, e.g., PyTorch.
Strong programming skills in Python.
Proven track record of research contributions demonstrated through publications in top-tier conferences, or open source contributions to algorithm.
Experience with building & deploying Multimodal-LLMs.
Familiarity with distributed training and large-scale data infrastructure.

Nice-to-haves

None flagged.

Application prep

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

Keywords to mirror

mlmachine learningpython

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

Vision