Senior Software Engineer, Machine Learning, Google TV
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with ML/AI algorithms and tools, deep learning, or natural language processing.
Preferred qualifications:
- Experience leading a team, with knowledge on quality/ML/search.
- Ability to work with ambiguity.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Google TV is redefining the TV experience to make it highly personalized, Google-smart, and content-forward to help users access the world’s media. Through recent launches like Chromecast with Google TV, we bring together the best of Google. Google TV is focused on scaling across the OEM ecosystem; working closely with third-party streaming partners plus many teams across Google (for example: Ads, Play, and YouTube); and building a business on TV platforms, OTT devices, and mobile devices. With over 110 million active users of our products plus being amidst the quickly evolving media and entertainment industry, there are plenty of opportunities for the team and individuals in it.
Responsibilities
- Build the recommendations platform for the Google TV viewers to improve the TV viewing experience.
- Own and drive building recommendation models independently while working with other ML and Software Engineers on the team.
- Propose ideas, innovations, approaches, analyse data, design, build, and test models and experiment with users and improve the models.
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