Senior Research Scientist, Machine Learning

Redwood City, California, United States

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Summary Description:

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, has entered into an agreement to acquire a large, multi-national sensor business with global revenues in excess of $250 million per year, and is looking for an experienced and talented Senior Research Scientist of Machine Learning to take on a critical role with expansive responsibilities and play a leading role in enhancing the Machine Learning function in a growing organization.

The Senior Research Scientist of Machine Learning will be responsible for developing state-of-the-art audio and vision models to be deployed on edge devices. We are looking for candidates at the cutting edge of Machine Learning technology that can translate research into accurate and robust solutions.

Specific Duties and Responsibilities:

  • Develop state-of-the-art machine learning models for audio and computer vision applications.
  • Stay up to date with the latest research by reviewing academic papers in the field.
  • Train, optimize, and fine-tune models for high accuracy and efficiency.
  • Implement prototypes to test and validate new approaches quickly.
  • Deliver production-ready solutions within tight timeframes.
  • Collaborate with inference and embedded software teams to integrate models into existing systems.
  • Continuously improve model performance and address potential issues in production environments.

Requirements

Qualifications, Education, and Experience Required:

  • MS or PhD in Computer Science, Machine Learning or related field.
  • 5+ years of industrial work experience developing and deploying ML models for audio or vision applications.
  • Strong C++ and Python programming expertise and familiarity with ML frameworks (e.g. TensorFlow, PyTorch).
  • Excellent understanding of deep learning architectures and techniques.
  • Ability to quickly prototype and iterate on complex ML solutions.
  • Strong analytical and problem-solving skills.

Benefits

About Syntiant:

 Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.

One element in our total compensation package is base pay.  The starting base pay for this role is targeted to be between $180,000 - $230,000. Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Syntiant, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range. We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process.  

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Tags: Architecture Computer Science Computer Vision Deep Learning Industrial Machine Learning ML models PhD Python PyTorch Research TensorFlow

Perks/benefits: Career development Startup environment

Region: North America
Country: United States

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