Job Description:

We've received many inquiries from clients in regards to AI. If you or someone you know is interested in being considered for the role below, or any related role in the AI vertical, please reach out! Do you have the following skills, experience and drive to succeed in this role Find out below.We are looking for a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale multimodal (vision-language) models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning adaptive policies that can be personalized to the user in a privacy preserving manner. The primary responsibilities associated with this position range from algorithm design and implementation, ability to integrate research into production frameworks, and collaborating closely with product teams before and after feature launch.Qualifications:5+ years of industry experience with strong ML fundamentalsHands-on experience with building Deep Learning applicationsProficiency in using ML toolkits, e.g., PyTorchStrong analytical and problem solving skillsStrong programming skills in Python, C and C++You're aware of the challenges associated to the transition of a prototype into a final productYou're familiar with the challenges of developing algorithms that run efficiently on resource constrained platformsYou've demonstrated leadership in both applied research and developmentExcellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teamsFamiliarity with Multi-modal ML, Graph ML and/or Reinforcement Learning (RL) in a distributed large-scale training environment is desirableExperience in neural network deployment optimizations is desirableEducation:M.S. or PhD in Electrical Engineering/Computer Science, or a related field, with a focus on computer vision and/or machine learning or comparable professional experience; or equivalent experienceCompensation: $150,000-$250,000; pay will depend on your skills, qualifications, & experience