ML Applied Scientists and Engineers

Key responsibilities:

• Collaborate with a cross-disciplinary team to design and implement novel AI solutions for edge devices

• Research state-of-the-art modeling and training techniques

• Propose, prototype, and validate hypotheses to lead our business and product roadmaps

• Gather and analyze data to build generalizing ML applications

• Work with software engineers on detailed requirements, technical designs, implementation, and testing of end-to-end solutions

Qualifications:

• Master’s degree and 5 years of experience or PhD degree and 2 years of experience in Computer Science, Computer Engineering, or related field

• Breadth and depth of knowledge on Speech Recognition, Natural Language Understanding, and/or Computer Vision

• 4+ years of experience on machine learning algorithms, DL frameworks and compilers, such as PyTorch, TensorFlow, TensorFlow Lite, TVM

• 2+ years of professional experience building machine learning solutions applied to real-world problems

• 4+ years of experience with a high-level programming language, such as Python and C++

• Publications in peer-reviewed journals and conferences in relevant fields, such as ICML, ICLR, NeurIPS, ACL, InterSpeech, and CPVR

• Authorized to work lawfully in the United States

• Generally able to work Pacific Time zone business hours

*To apply, send your PDF resume to join (at) syntiant (dot) com with the subject line “ML Applied Scientists and Engineers”.