Open Systems Technologies

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.. Hands-on experience with building Deep Learning applications. You're aware of the challenges associated to the transition of a prototype into a final product. 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 experience

researcher

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! 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:<ul><li>5+ years of industry experience with strong ML fundamentals</li><li>Hands-on experience with building Deep Learning applications</li><li>Proficiency in using ML toolkits, e.g., PyTorch</li><li>Strong analytical and problem solving skills</li><li>Strong programming skills in Python, C and C++</li><li>You're aware of the challenges associated to the transition of a prototype into a final product</li><li>You're familiar with the challenges of developing algorithms that run efficiently on resource constrained platforms</li><li>You've demonstrated leadership in both applied research and development</li><li>Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams</li><li>Familiarity with Multi-modal ML, Graph ML and/or Reinforcement Learning (RL) in a distributed large-scale training environment is desirable</li><li>Experience in neural network deployment optimizations is desirable</li></ul> Education:<ul><li>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 experience</li></ul> Compensation: <ul><li>$150,000-$250,000; pay will depend on your skills, qualifications, & experience</li></ul>

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