The Position
The Natural Language Processing (NLP) Signals team is part of Cortex, the central machine learning organization at Twitter. Cortex’s mission is to empower internal teams to efficiently leverage machine learning by providing the platform, modeling, and research expertise while advancing the ML technologies within Twitter.
We tackle Twitter-specific challenges in the NLP domain such as the real-time, ever-changing nature of our data and limited context. We apply and advance state of the art natural language processing techniques to invent new models and systems that can be used to improve various Twitter experiences for our customers.
We encourage publishing papers while focusing on solving real-world problems that improve Twitter for our customers. We operate at scale whilst ensuring fair and ethical use of our models and data.
What You’ll Do:
Apply your NLP expertise to propose and develop models and solutions that improve our ML-driven products. Devise models and algorithms and guide engineering to develop scalable solutions that can work real-time with large amounts of data. Help us develop novel solutions, and unlock new directions. You’ll collaborate with product teams, mentor them on best practices for modern NLP, and keep the wider team informed on the state of the art. In addition, you will be in a strategic position to influence future roadmaps for NLP-driven products. You will engage with the research community via publications, workshops, and tutorials.
Who you are:
You have an in-depth knowledge and research experience in NLP that you have applied to solve real-world problems in the industry. You are passionate about state-of-the-art technologies and are excited by the application of theory to real-world problems. You keep up to date with the latest developments in the field and look for ways to apply them to your current work/role. You find pragmatic solutions that solve problems in a timely manner.
Qualifications
Post-graduate or PhD in Computer Science or Machine Learning related degree with a focus on NLP; or equivalent work experience in the field
3+ years NLP applied research experience, preferably experience applying NLP research to real-world problems in the industry
Experience in building production ML models and understanding of inference challenges at scale
Good theoretical grounding in core machine learning concepts and techniques
Ability to perform comprehensive literature reviews and provide critical feedback on state-of-the-art solutions and how they may fit to different operating constraints
Experience with a number of ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, SVMs, deep neural networks, etc.
Familiarity with one or more deep learning software frameworks such as Tensorflow, PyTorch
Bonus Points
Familiarity with Airflow, TFX, and Kubeflow, Kubernetes, and GCP
Experience with large-scale systems and data, e.g. Hadoop, distributed systems
Publications in top conferences/journals such as EMNLP, ACL, COLING, TACL, CoNLL, NeurIPs, ICML, ICASSP, Interspeech...
Company Description
Twitter is what’s happening and what people are talking about right now. For us, life's not about a job, it's about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we'll do what's right (not what's easy) to serve the public conversation.
Additional Information
We care about making work happy and productive for everyone, with the option to work from home when you need, wellness benefits, regular #NoMeetingThursdays, #FocusTuesdays, and six months of parental leave.
We love sharing knowledge and ideas. Within our team, we closely work with our NLP partner at Cortex research (Content Understanding Research). We have fortnightly learning seminars. And there are many study groups you can join.
A few other things we value:
Challenge - We solve some of the industry’s hardest problems. Come to be challenged, learn, and thrive as an engineer.
Diversity - Diversity makes us a better organization and team. We value diverse backgrounds, ideas, and experiences.
Work, Life, Balance - We work hard, but we believe with hard work should come balance.
Collaboration - There’s that saying, “If you want to go fast, go alone. If you want to go far, go together.” We want to go far.