Twitter | Boston, MA | Data Scientist-Applied Research | Full-time | Onsite | Visa
Who We Are:
Our mission at Twitter Cortex is to empower internal teams by providing a machine learning platform and modeling expertise and by unifying, educating, and advancing the state of the art in ML technologies within Twitter. Within Cortex, the Boston Product Modeling team works on applying ML modeling approaches that can have dramatic impact on core areas of the product. As an example, we have recently been involved in ML approaches to ensure healthy conversations on Twitter.
We use machine learning, statistical modeling, data mining, time series modeling, and many other analytical techniques, we build prototypes, and we perform experiments — all applied at the scale of Twitter.
Requirements:
- Masters or PhD dealing with quantitative analysis or commensurate work experience
- Strong hands-on proficiency with at least one programming language such as Python, R, Java, Scala.
- Experience using large scale quantitative customer data analysis to solve problems and answer questions
- Experience with data visualization
- Experience with social network data a plus
Twitter | New York, NY or San Francisco, CA | Staff ML Modeling Engineer | Full-time | Onsite | Visa
Who We Are:
Twitter is your window into What's Happening in the world, live! As rich content continues to drive conversation, connection, and engagement on Twitter, product teams are focussed on surfacing a broad selection of compelling content to the user based on their interests.
Our team, Cortex, is building technologies that enable product teams to create that experience. We are a team of ML engineers and researchers, trying to push boundaries of ML and personalization at Twitter. We work closely with ML product teams across the company (timelines, ads, recommendations, safety etc) to define, design and develop the core components that would enable them to deliver the desired experience to Twitter users.
Example projects include:
- Approximate Nearest Neighbor algorithms and related infrastructure at Twitter scale
- Embeddings models and algorithms
- Embedding infrastructure that allows teams to easily train, consume and share embeddings.
Who We Are:
Our mission at Twitter Cortex is to empower internal teams by providing a machine learning platform and modeling expertise and by unifying, educating, and advancing the state of the art in ML technologies within Twitter. Within Cortex, the Boston Product Modeling team works on applying ML modeling approaches that can have dramatic impact on core areas of the product. As an example, we have recently been involved in ML approaches to ensure healthy conversations on Twitter.
We use machine learning, statistical modeling, data mining, time series modeling, and many other analytical techniques, we build prototypes, and we perform experiments — all applied at the scale of Twitter.
Requirements:
- Masters or PhD dealing with quantitative analysis or commensurate work experience - Strong hands-on proficiency with at least one programming language such as Python, R, Java, Scala. - Experience using large scale quantitative customer data analysis to solve problems and answer questions - Experience with data visualization - Experience with social network data a plus
Check out the opening here: https://careers.twitter.com/en/work-for-twitter/201812/data-...