Sr. Software Engineer (Machine Learning)

Full time



The opportunity is with an engineering team that builds the backend cloud data platform and machine learning algorithms for a Cupertino-based Series-C WiFi Startup that is disrupting the industry by using Artificial Intelligence to solve critical issues in the WiFi space.

Roles and Responsibilities

  • Understanding the startup product, problem definition, identifying the solution
  • Work as an individual contributor and deliver working code for the algorithms built
  • Work with core machine learning algorithms to build solutions from scratch
  • Be prepared to work on a wide variety of problem statements involving wireless networks
  • Work with other software development engineers to make the solution production ready
  • Engage with the stake holders of the startup for which the solution is being built by way of show-and-tell

Educational Background

  • Should have a Master’s degree from IIT or IISc or IIIT-Hyderabad or universities of repute outside India
  • Should have completed a full-time master’s degree preferably in Computer Science or Electrical/Electronics engineering
  • Credited courses focused on linear algebra, stochastic models, pattern recognition, design and analysis of algorithms, machine learning as part of the course curriculum

Work Experience

  • 6+ years of industry experience
  • A minimum of 3 years’ experience in building machine learning algorithms and rolling them out to production
  • Work experience in the WiFi networking industry is an added bonus
  • Experience with BLE and indoor locationing techniques is an added bonus
  • Demonstrated experience in use of machine learning libraries such as Keras, Tensorflow, Sk-learn, ML-Lib
  • Demonstrated experience in application of machine learning algorithms such as neural networks, gradient boosted trees, support vector machine to classification and regression problems
  • Demonstrated experience in working with data pipelines and integrating machine learning models in real-time/live environments
  • Hands-on experience with Kafka, Storm, Cassandra is an added bonus

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