Randstad Research Engineer in Mountain View, California

Research Engineer

job details:

  • location:Mountain View, CA

  • salary:$56.56 - $63.25 per hour

  • date posted:Monday, April 16, 2018

  • job type:Contract

  • industry:Information Technology

  • reference:614775

job description

As part of machine-learning team, you will design and implement state-of-the-art machine learning algorithms for radar-based interactive sensors. You will design, develop, debug, and evaluate custom machine-learning algorithms that will be applied across a range of products and use cases. You will work closely with the team to improve algorithm performance and play an integral role enabling new state-of-the-art touchless interfaces.

3 Key Responsibilities

This role will involve the following:

-Design, develop, and evaluate novel machine learning algorithms for a custom radar sensor.

-Train, debug, fine tune, and optimize machine learning algorithms to achieve the ultimate user experience.

-Develop tools to help others train, test, and apply Soli machine learning algorithms to a range of products and applications.


Master's or Ph.D. degree in Machine Learning, Computer Science or related technical discipline.

3+ years experience in machine learning research for production systems.

Excellent Python/C/C++ programming skills.

Experience with a wide range of machine learning techniques, including at least one of the following: convolutional neural networks, generative adversarial networks, recurrent neural networks (LSTM, GRUs, etc.).

Experience developing novel machine learning architectures for at least one of the following: radar, LIDAR, audio, video, image recognition, inertial sensors (accelerometers or gyroscopes), other related sensors.

Solid foundation in computer science, with strong competencies in data structures, algorithms and software design.

Nice to have's

-Experience with Tensorflow or related machine learning libraries.

-Track history of publications in leading machine learning and/or HCI journals.

-Experience developing machine learning algorithms for interactive applications.

-Desire to work in a creative flexible atmosphere on the edge of research and production.

-Ability to communicate technical concepts clearly and effectively.