Machine Learning Engineering Intern (PhD candidates)

Company: Twitter
Location: Topeka
Posted on: May 14, 2022

Job Description:

**Company Description**

Twitter is where you go to talk about what's happening; it carries some of the most important commentary and conversations and mobilizes people into action.

Joining the team today means you'll have an impact on the conversation of tomorrow.

We want every Tweep regardless of location or job to understand their role in creating a culture where everyone is empowered to bring their full authentic selves to work, experience belonging, and do the best work of their career.

**Job Description**

Working with the DisCo team at Twitter is about showing users the content they care about. Our mission is to instantly connect users to the information most meaningful to them. Realizing this involves work in areas such as machine learning, applied data science, recommendation systems, information retrieval systems, natural language processing, large graph analysis, spam, and more. We build relevance and machine learning models and systems to power the core of the Twitter product and growth. As a graduate intern, you will participate in all areas of our work, and be exposed to various aspects of our team's capabilities and disciplines.

**Qualifications**

- Pursuing a Master's or Ph.D. in Machine Learning, Engineering Computer Science or a related field
- Shows proficiency in the following languages Java, Python, C++, Scala, Deep Learning, Machine Learning, Neural Networks, Recommender Systems, Ranking, Information Retrieval, Reinforcement Learning, TensorFlow, PyTorch
- Ability to take on complex problems, learn quickly, iterate, and persist towards a good solution

**Additional Information**

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 status, genetic information, marital status or any other legally protected status. All your information will be kept confidential according to EEO guidelines.

Keywords: Twitter, Topeka , Machine Learning Engineering Intern (PhD candidates), Engineering , Topeka, Kansas