Join Twilio as a Staff Machine Learning Engineer to build AI/ML capabilities for intelligent customer engagement experiences.
Posted by employer 1 day ago
First seen on Joblaze 9 hours ago
Last verified on the company career page 9 hours ago
What you'll build
- Build out new functionality within a fast moving product
- Conduct deep-dive research into state-of-the-art LLM orchestration
- Build ML systems that hold up at Twilio scale
- Rapidly acquire new technical skills and knowledge
- Proactively leverage and integrate the latest AI development stacks
Must have
- 8+ years applied ML/AI experience
- Proficiency in Python programming language
- Experience building cloud-based services on AWS, GCP, or Azure
- Strong fundamentals of statistical machine learning algorithms
- Ability to raise the technical bar of a team through mentorship
Nice to have
- Prior experience building autonomous agents
- Strong background in predictive modeling on user behavior
- Prior experience working in a globally distributed team
AI in the day-to-day
We use Artificial Intelligence (AI) to help make our hiring process efficient.
Requirements
- Experience
- 8+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In the role of Staff Machine Learning Engineer at Twilio, the individual will focus on developing AI and ML capabilities that enhance customer engagement through personalized experiences. Key skills include proficiency in Python, experience with cloud services like AWS or GCP, and a strong foundation in machine learning algorithms. This position is ideal for seasoned professionals with over eight years of applied ML experience, particularly those comfortable navigating ambiguous project requirements. The role is part of a remote-first team that values diverse backgrounds and encourages innovative problem-solving.
Joblaze insights
- Listed today — first seen on Joblaze October 9, 2026. Last confirmed on Twilio's careers page October 9, 2026.
Quick facts
- Is the Staff Machine Learning Engineer (L4) role remote?
- Yes — Twilio lists this as a fully remote position.
- How much experience is required?
- At least 8 years of relevant experience for this Staff Machine Learning Engineer (L4) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, AWS, Azure, GCP, Machine Learning, Python.
- What seniority level is this role?
- Twilio targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Machine Learning Engineer (L4) role at Twilio.
From the original posting
Who we are
See yourself at Twilio
Join the team as our next Staff Machine Learning Engineer on Twilio’s Conversation Memory team.
About the job
In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them.
This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalised.
Responsibilities
In this role, you’ll:
- Build out new functionality within a fast moving product seeing rapid adoption.
- Take a nebulous idea, design a rigorous experiment, and execute it within weeks.
- Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
- Build ML systems that hold up at Twilio scale.
- Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
- Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.
*Required:
- 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
- Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
- Proficiency in Python programming language.
- Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
- Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs
- Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority.
- Experience in building cloud-based services using AWS, GCP, or Azure.
- Strong communication skills and highly effective collaborator who works well with teammates.
Desired:
- Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.
- Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial.
- Prior experience working in a globally distributed team.
Location
This role will be remote, and based in India - Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi.
Twilio thinks big. Do you?
.
.Standard company text repeated across Twilio's postings is omitted here.