data
Posted 3 days agoStaff, Machine Learning Engineer (L4)
at Twilio
IndiaRemote
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
- 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
- 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.
Requirements
- We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! .
- This position is needed to scope, design, and deploy machine learning systems into the real world, the individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services.
- You will understand customers need, build data products that works at a global scale and own end-to-end execution of large scale ML solutions.
- To thrive in this role, you must have a deep background in ML engineering, and a consistent track record of solving data & machine-learning problems at scale.
- Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
- Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.
- experience with proficiency in Python
- Strong background in the foundations of Machine Learning and building blocks of modern Deep Learning
- You have a clear understanding of frameworks like - PyTorch, TensorFlow, or Keras, why and how these frameworks do what they do
- Familiarity with ML Ops concepts related to testing and maintaining models in production such as testing, retraining, and monitoring.
- Demonstrated ability to ramp up, understand, and operate effectively in new application / business domains.
- You’ve explored modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) and demonstrated
- experience designing and coding in big-data components such as DynamoDB or similar •
- Experience working in an agile team environment with changing priorities
- • Experience of working on AWS Desired: •
- Experience with Large Language Models Location
- For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer
- Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Experience
- 7+ years of applied ML
Benefits
- 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.
Additional details
- At Twilio, we’re shaping the future of communications, all from the comfort of our homes.
- We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
- Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day.
- As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding.
- You are a self-starter, embody a growth attitude, and collaborate effectively across organizations. Responsibilities
- 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
- If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio.
- We are always looking for people who will bring something new to the table! Required: