== Software Developer, Machine Learning Job posting
Software Developer, Machine Learning
Waterloo , ON , Canada
Apply Qualifications
Minimum qualifications:
Bachelor’s degree in Computer Science, similar technical field or equivalent practical experience. 2 years of work or educational experience in Machine Learning or Artificial Intelligence. Relevant work experience, including software development experience. Experience with one or more general purpose programming languages including but not limited to: Python, C/C++, and/or Java.
Preferred qualifications:
Master’s degree, PhD? degree, further education, or experience in engineering, computer science, or other technical related field. Experience in machine learning or computer vision (e.g., natural language processing, model building, etc.). Experience with relevant Google technologies (e.g., Tensorflow, Flume, machine learning libraries). Infrastructure software development experience.
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. Responsibilities
Be responsible for design and implementation of projects for data pipelines and data analysis. Work on infrastructure to serve machine learning models with low latency/resource usage. Design, build and train new machine learning models. Work on building and improving model training, model deployment and evaluation infrastructure.