Research Machine Learning Engineer, Twilio

$200-290k

Actual Salary range is dependent on location.

Expert level
Remote in US

More information about location

Twilio

Cloud communications software

Open for applications

Twilio

Cloud communications software

1001+ employees

B2BArtificial IntelligenceCommunicationInternet of ThingsMachine LearningCloud Computing

Open for applications

$200-290k

Actual Salary range is dependent on location.

Expert level
Remote in US

More information about location

1001+ employees

B2BArtificial IntelligenceCommunicationInternet of ThingsMachine LearningCloud Computing

Company mission

To enable innovators across every industry - from emerging leaders to the world’s largest organisations - to reinvent how companies engage with their customers.

Role

Who you are

  • 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

  • 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

What the job involves

  • 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

Application process

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

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Insights

Top investors

35% employee growth in 12 months

Company

Company benefits

  • Generous annual time off in all countries
  • Comprehensive health programs
  • Programs to help our employees plan for their retirement needs
  • Generous maternity, paternity, and adoption leaves, as well as family medical care leave
  • Build and present a Twilio app to earn your Twilio track jacket and receive $30 per month for e-books for continued learning and education
  • Variety of snacks, drinks, and catered meals in each of our locations
  • Work from home opportunities

Funding (last 2 of 6 rounds)

Jul 2015

$130m

SERIES E

Jun 2013

$70m

SERIES D

Total funding: $250.7m

Our take

Traditionally, it has been difficult for businesses to establish communications systems in-house. Twilio was founded from frustration with this expensive and cumbersome process, providing easy-to-use APIs to let businesses send and receive telephone and text communications.

From these beginnings, the company has expanded through acquisitions and product development to provide a suite of services around market data and customer engagement. It is now a market leader in this space, and has developed a customer base of more than 150,000 businesses including enterprise brands such as Deliveroo, Duolingo and Toyota.

With that said, aggressive expansion and lack of maturity in some of its products has impacted the company's efficiency, and like many of its peers it has been forced to restructure heavily to remain competitive. Coming out of this restructuring, the company will focus on profitability, streamlining decision making and R&D to put itself in good stead for future success.

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Kirsty

Company Specialist at Welcome to the Jungle