Full Stack Software Engineer - Machine Learning Effectiveness - Cortex
Who We Are:
Cortex is a team of software engineers, data scientists, and research scientists dedicated to developing state-of-the-art machine learning capabilities to refine and transform our products.
Twitter is the heartbeat of the world: it is the only platform that offers insight into everything that is happening live. Our challenge: content that's posted on our platform is very rich, and our users' interests very diverse. Machine learning can help us connect users to the right content, and improve the quality of our products.
As a centralized machine learning team within Twitter, Cortex builds a platform bringing deep learning to all of Twitter BlueBird and Revenue products.
Who You Are:
You have a passion for machine learning and improving the ways people consume the world, live. You are excited to join an incredibly talented, and fun team which loves to take on new challenges. You like a fast-paced & fun environment, believe in Twitter’s mission in the world and want to be a core actor in pushing it forward.
What You’ll Do:
You will work with our team of machine learning experts and software engineers to design one of the strongest machine learning platforms in the world, based on the latest deep learning, and powered by Twitter data.
Part of your responsibilities will be to design abstractions and libraries, create APIs, tools, and user interfaces to enable all engineers (even those without machine learning knowledge) at Twitter to apply machine learning to their unique problems. Other responsibilities include integration with the Twitter data stack to feed our models through the platform, as well as optimizing latencies.
Experience in Python and Java/Scala (ideally a strong understanding of the jvm)
Interest or experience in building platform tools for developers
Experience in micro-service, REST, and other distributed computing architectures
Experience or interest in building front end UI for internal tooling (e.g React / Angular / JS)
Strong grasp of OOP concepts, data structures, and algorithms
Experience with relational and non-relational databases (e.g. MySQL/Postgres and Cassandra/ElasticSearch)
Experience with software design life cycle and best practices (Design Docs, Code Reviews, Testing)
BS, MS, or PhD in Computer Science or equivalent work experience
Nice to have:
Familiarity with machine learning modern ML platforms (e.g. TensorFlow, Pytorch)
Experience with Big Data (Hadoop, Spark, Map Reduce)
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
Engineering Hiring Process
Once your application is received, a recruiter will reach out pending your qualifications are a match for the role.
If your background is a match, you may have 1-2 technical phone interviews or be given the chance to provide a work sample depending on the role.
If the phone interviews go well or your work sample is strong, the final step includes interviews with 5-6 people held onsite in our office.
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