CASY-MSCCN Jobs

Please submit your resume in English - we can only consider applications submitted in this language.

Minimum qualifications:

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.

• 2 years of work experience in Machine Learning or AI.

• 2 years of experience with data structures or algorithms.

• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

• Ability to communicate in English fluently.

Preferred qualifications:

• Experience with statistics, data science, or machine learning problems.

• Experience with analyzing and deriving insights from large datasets.

• Experience with PyData tools (Colab / Jupiter, NumPy, SciPy, Sklearn, etc.).

• Experience with products where A/B testing was a launch requirement.

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.

Our team’s mission is to be a multiplier for Search Quality and Beyond by providing ranking solutions. We identify modeling challenges that are common across Alphabet, design solutions for them that we can generalize to address similar problems occurring in different products, demonstrate the effectiveness of Ranklab on Google's flagship products and motivate improvements to the Ranklab platform when needed, and share our expertise with product teams and promote best practices. This role provides an opportunity to gain experience in applied machine learning by solving a wide variety of challenging problems in collaboration with high-impact product teams.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

• Work with product teams on the modeling aspects of real world ML/AI problems.

• Use existing models and develop new techniques when necessary to solve open ended, practical problems.

• Communicate and collaborate effectively with product teams.

• Use engagement experiences to identify and motivate improvements.

• Contribute to software improvements.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.