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.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.

As a Staff ML Engineer, you’ll be one of the company’s most senior individual contributors in the fields of deep learning and computer vision.  You’ll be responsible for designing, developing and training production-ready machine learning models that solve some of the toughest and most exciting media problems Twitter has to offer. The models you build will be closely integrated into production services in collaboration with Software Engineers and will have a high degree of real world impact in domain spaces such as revenue, recommendations, and health.

• B.S. in Computer Science

• MSc. or PhD. in Computer Science, Mathematics, Physics or other highly quantitative fields

• Strong computer science fundamentals, algorithms, and data structures background

• Strong knowledge of machine learning fundamentals and techniques

• 8+ years of experience in Applied Machine Learning or similar

• Previous programming experience, preferably Python 

• Previous experience working with ML Frameworks (f.i. Tensorflow, Pytorch, Scikit-learn)

• Experience with Deep Learning, computer vision and/or audio processing is a plus

• Experience with high-volume production ML systems is a plus

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.