# Staff, Machine Learning Engineer (L4)

**Company**: Twilio
**Location**: Remote - India
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/twilio/jobs/7699243?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d2fe92a0-99c

## Description

We’re shaping the future of communications at Twilio, a company that delivers innovative solutions to hundreds of thousands of businesses and empowers millions of developers worldwide to craft personalized customer experiences.

As a Staff Machine Learning Engineer, you will scope, design, and deploy machine learning systems into the real world, partnering with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services.

Responsibilities:

- Build and maintain scalable machine learning solutions in production

- Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness

- Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems

- Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed

- Work closely with data platform teams to build robust scalable batch and realtime data pipelines

- Collaborate with software engineers, build tools to enhance productivity and to ship and maintain ML models

- Drive high engineering standards on the team through mentoring and knowledge sharing

- Uphold engineering best practices around code reviews, automated testing and monitoring

Qualifications:

- 7+ years of applied ML experience with proficiency in Python

- Strong background in the foundations of Machine Learning and building blocks of modern Deep Learning

- Track record of building, shipping and maintaining Machine Learning models in production in an ambiguous and fast paced environment

- Track record of designing and architecting large scale experiments and analysis to inform product roadmap

- Clear understanding of frameworks like PyTorch, TensorFlow, or Keras

- Familiarity with ML Ops concepts related to testing and maintaining models in production

- Demonstrated ability to ramp up, understand, and operate effectively in new application / business domains

- Experience working in an agile team environment with changing priorities

- Experience of working on AWS

Desired:

- Experience with Large Language Models

What We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.

## Skills

### Required
- Python
- Machine Learning
- Deep Learning
- PyTorch
- TensorFlow
- Keras
- ML Ops
- AWS
- Agile development

### Nice to have
- Large Language Models

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/twilio/jobs/7699243?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)