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Research Machine Learning Engineer
| Company | Twilio |
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| Location | California, USA |
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| Salary | $200000 – $290000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 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.
Responsibilities
- Research new ML and AI technologies and tools
- Build prototypes to further your research and test your hypotheses.
- Imagine new futures based on novel technologies.
- Share your learnings frequently with your fellow researchers in order to enable collaboration.
- 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 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.
Preferred Qualifications
- You have previously shared your ideas in public forums through blog posts, meetup presentations, or speaking at conferences.
- Experience building a product from idea to product market fit (zero to one).
- Experience leading the development of products or features which leverage LLMs
- Builder at heart. Through a hobby or your profession, you are passionate about being hands on and seeing your work come to life.
