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Staff Machine Learning Engineer (L4)

TwilioRemote - IndiaEngineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior · 8+ yrs
Posted
8 Oct 2026
Status
Open · checked 7d ago

About this role

Twilio seeks a remote Staff Machine Learning Engineer based in India to design foundational AI and machine learning systems for the Conversation Memory team. This position suits an experienced practitioner who can bridge theoretical research with enterprise-grade software development for intelligent customer engagement.

Role Overview

Twilio is hiring a full-time Staff Machine Learning Engineer to build core AI and ML capabilities powering intelligent engagement experiences. Based remotely in India across states like Karnataka, Tamil Nadu, Telangana State, Maharashtra, and New Delhi, the professional in this role will handle contextual intelligence and large-scale machine learning challenges. Occasional travel may be required for team gatherings, functional off-sites, or customer meetings.

Key Responsibilities

Develop new functionalities within a fast-moving product experiencing rapid user adoption.
Translate ambiguous ideas into rigorous experiments and execute them within weeks.
Investigate state-of-the-art large language model orchestration, retrieval strategies, and personalized data approaches.
Construct machine learning systems capable of operating at Twilio scale.
Learn new technical skills rapidly in a high-delivery environment.
Integrate modern AI development stacks to bypass boilerplate tasks and focus on core differentiation.

Requirements

Eight or more years of applied machine learning or artificial intelligence experience owning technically ambitious systems from end to end.
Ability to operate in a zero-to-one environment with ambiguous requirements and a strong action bias.
Proficiency in Python programming.
Experience designing cloud-based services on AWS, GCP, or Azure with high-volume data, streaming or real-time inference paths, and various data stores.
Solid fundamentals in statistical machine learning algorithms, transformer models, and large language models.
Capability to elevate team standards through mentorship and design reviews without formal management authority.
Strong communication abilities and collaborative skills.

Nice to Have

Background in building autonomous agents handling multi-turn conversations and long-term context.
Experience with predictive modeling for user behavior, including experimental design and causal methods.
Background working within globally distributed teams.

Skills and Tools

Python
AWS
GCP
Azure
Large Language Models
Transformer Models
Statistical Machine Learning

Salary and Benefits

Competitive pay
Generous time off
Ample parental and wellness leave
Healthcare coverage
Retirement savings program
Support for employee volunteering and community donation efforts

About the Company

Twilio builds communication solutions and empowers developers worldwide to create personalized customer experiences. The company operates on a remote-first model while fostering connection, global inclusion, and community impact through volunteer support.

How to Apply

Interested candidates should visit the official Twilio careers page to submit an application.

Skills and tech stack

Questions candidates ask

Where is this job located?

This is a remote position based in India, specifically covering Karnataka, Tamil Nadu, Telangana State, Maharashtra, and New Delhi.

How many years of experience are required?

The role requires 8+ years of applied machine learning or artificial intelligence experience.

What programming language is required?

Proficiency in Python is required for this position.

Is travel required for this remote role?

Occasional travel may be required to participate in project or team in-person meetings, team gatherings, functional off-sites, or customer meetings.

What cloud platforms are mentioned in the requirements?

Experience building cloud-based services on AWS, GCP, or Azure is required.

Ready to apply?

The application is on the official Twilio careers page.

Apply on company site