Machine Learning Engineer - Safety Reporting
Who we are:
Our mission is to provide the safest platform for our users possible. We do this by using machine learning to help detect and categorize abuse and toxicity on the platform. Safety is our priority and you can help - https://blog.twitter.com/official/en_us/topics/product/2017/Our-Safety-Work-Results-Update.html
What you will do:
Apply the latest machine learning algorithms for text, image and user classification and improve our abuse and toxicity models.
Who you are:
You’re a machine learning engineer with an interest in safety and abuse.
BS, MS, or PhD in computer science, data mining, machine learning, information retrieval, recommendation systems, natural language processing, statistics, math, engineering, operations research, or other quantitative discipline; or equivalent work experience
2+ years industry experience
Skilled in using various machine learning algorithms for classification and regression
Fluent in one or more object oriented languages like Java, Scala, C#, C++
Experience with Spark, Hadoop, Pig or other MapReduce-based architectures
Knowledgeable of core CS concepts such as: common data structures and algorithms.
Comfortable conducting design and code reviews.
Experienced in operating Linux-based systems.
Passionate about working with large unstructured and structured data sets
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.
San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance
After you apply, a recruiter may reach out to you for an introductory call.
If your background is a match for the role, you may phone interview with 1-2 people.
If you continue through the process, you will come onsite 1-2 times to interview with a total of 5-10 people.
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