Research Machine Learning Engineer, Twilio

• 7+ years hands on experience writing code in a modern programming language (language agnostic)
• 3+ years of research experience in a professional or academic setting where building your idea and testing it was a must
• Experience evaluating the performance of different ML models/versions and making enhancements
• Experience working collaboratively with ML engineers, data scientists or ML Researchers
• Experience building an ML model and improving it
• Passion for emerging technologies and staying up to date on their latest developments
• Proven track record of shipping products to production, testing ideas early with customers and iterating rapidly on their feedback
• Exceptional collaboration skills, the key to our success is going to be tied to our ability to partner with other parts of the organization and help them be successful
• Strong customer focus, our feedback loop with customers will be very tight!
• Excellent written and verbal communication skills. Our ideas will only be as good as our ability to share them

Desirable

• As a Principal Machine Learning Engineer of the ETI organization, you will be responsible for leading research projects, experimenting with proof of concepts, and staying on the cutting edge of “what if”
• There are many exciting challenges ahead of us and we are looking for an engineer who is comfortable with ambiguity, has a proven track record for delivering results, and has experience with the emerging technologies of AI, LLMs, and a passion for keeping up with their latest developments
• Research new ML and AI technologies and tools
• Build prototypes to further your research and test them with customers
• Collaborate with data scientists, engineers, and developers to integrate AI models and algorithms into existing systems and applications
• Collaborate closely with your product, design and go to market partners to ensure our work puts the customer first and we are all rowing in the same direction
• Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. There will be a steep learning curve to this job, you should be comfortable diving in the deep end and creating clarity for yourself
• Influence steering committee discussions on leveraging AI across the whole of Twilio
• Most importantly, Experiment! As our new team grows, you should embody the practice of testing out new ideas and iterating based on feedback. Not only in the products you deliver, but in the way we conduct ML/AL research at Twilio

• Applications for this role are intended to be accepted until March 30th, 2025 but may change based on business needs