ML Applied Scientists and Engineers
Key responsibilities:
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Collaborate with a cross-disciplinary team to design and implement novel AI solutions for edge devices
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Research state-of-the-art modeling and training techniques
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Propose, prototype, and validate hypotheses to lead our business and product roadmaps
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Gather and analyze data to build generalizing ML applications
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Work with software engineers on detailed requirements, technical designs, implementation, and testing of end-to-end solutions
Qualifications:
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Master’s degree and 5 years of experience or PhD degree and 2 years of experience in Computer Science, Computer Engineering, or related field
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Breadth and depth of knowledge on Speech Recognition, Natural Language Understanding, and/or Computer Vision
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4+ years of experience on machine learning algorithms, DL frameworks and compilers, such as PyTorch, TensorFlow, TensorFlow Lite, TVM
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2+ years of professional experience building machine learning solutions applied to real-world problems
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4+ years of experience with a high-level programming language, such as Python and C++
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Publications in peer-reviewed journals and conferences in relevant fields, such as ICML, ICLR, NeurIPS, ACL, InterSpeech, and CPVR
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Authorized to work lawfully in the United States
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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”.
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