Who we are:
We are a community of Machine Learning Researchers and Engineers, working to improve Twitter through applications of ML through a range of systems - e.g. recommendations, safety, abuse, ads. We operate at scale whilst ensuring fair and ethical use of our models and data.
We work as embedded researchers amongst product teams, looking to apply the expertise of the individuals to improve our products and unlock new capabilities.
What you will do:
You will apply your research experience to problem spaces related to our ML-driven products. You will work with us to develop a research proposal, perform literature review, implement prototypes and document your analyses. You will work closely with researchers and research engineers in our team.
Who you are:
You are working towards PhD in a ML-driven field - e.g. NLP, Computer Vision, Prediction/Inference, etc and you are interested in applying your knowledge and skill set to one or more of our product areas - e.g. media / content understanding, behavioural understanding, recommendation systems, model performance optimisation. You are passionate about the way we develop 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.
PhD student in a machine learning related field
Good theoretical grounding in core machine learning concepts and techniques
Ability to perform literature reviews and provide critical feedback
Familiarity with one or more DL software frameworks such as Tensorflow, PyTorch
Nice to haves:
Publications in top conferences such as ICLR, NIPS, ICML, CVPR, ICCV, ECCV, etc
Experience with one or more of the following:
Approximate / k-nearest neighbour theory, algorithms and frameworks
Natural Language Processing
Prediction / Inference (e.g. Bayesian)
Available internships are for 3 months or 6 months
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.