Remote opportunity at
TwilioPrincipal, Machine Learning Engineer (L5)
Twilio is a communications company that serves a large base of companies and developers, with a remote-first way of working. This principal-level machine learning role is…
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About This Role
Twilio is a communications company that serves a large base of companies and developers, with a remote-first way of working. This principal-level machine learning role is on the Customer Memory team, which is creating the core AI and machine learning capabilities that tell applications, human agents and AI agents who a customer is, what that customer has done and how to reach them well. The principal engineer leads rapid research…
Job Description
Twilio is a communications company that serves a large base of companies and developers, with a remote-first way of working. This principal-level machine learning role is on the Customer Memory team, which is creating the core AI and machine learning capabilities that tell applications, human agents and AI agents who a customer is, what that customer has done and how to reach them well.
The principal engineer leads rapid research cycles on contextual intelligence and large-scale machine learning problems. Work includes building new functionality in a product that is being adopted quickly, designing experiments around loosely defined ideas and completing them within weeks, researching LLM orchestration, retrieval and data-driven personalisation, and delivering systems that stay dependable at Twilio's volume. The engineer is expected to adopt new AI development tools quickly rather than rebuild common components.
The posting asks for more than ten years of applied machine learning or AI experience and a track record of owning ambitious systems end to end. Candidates should be proficient in Python and have built cloud platforms on AWS, GCP or Azure that handle large data volumes or real-time predictions. Deep experience running production AI systems built around language model pipelines, embedding models and vector databases is needed, along with a strong command of statistical learning, transformer models and LLMs. The ability to lift a team's standards through mentoring and design reviews, without formal management authority, is essential. The role is remote and based in India, in Karnataka, Tamil Nadu, Telangana, Maharashtra and New Delhi.
Responsibilities
- Build new functionality in a fast-moving product that is being adopted quickly
- Turn loosely defined ideas into rigorous experiments that finish within weeks
- Investigate LLM orchestration, retrieval and data-driven personalisation
- Deliver machine learning systems that stay dependable at large scale
- Acquire new technical skills rapidly in a high-delivery setting
- Adopt the newest AI development stacks so effort goes into differentiating work
Requirements
- At least ten years of applied machine learning or AI experience, owning systems end to end
- Comfort operating in 0-to-1 settings with unclear requirements
- Proficiency in Python
- Cloud platform experience on AWS, GCP or Azure covering high-volume data and real-time predictions
- Deep expertise in production ML and AI systems spanning language model pipelines, embedding models and vector databases
- Strong grounding in statistical learning, transformer models and LLMs
- Ability to lift a team's technical bar through mentoring and design reviews without formal authority
- Strong communication and collaboration skills
Qualifications
- Experience building autonomous agents for multi-turn conversations with consistent long-term context
- Background in predicting user behaviour, including experiment design and causal or counterfactual methods
- Background working with colleagues spread across many countries
Core Skills
Benefits
- Competitive pay
- Generous time off, parental leave and wellness leave
- Healthcare and a retirement savings programme
- Benefit offerings vary by location
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this job located?
The role is remote and based in India, in Karnataka, Tamil Nadu, Telangana, Maharashtra and New Delhi.
How much experience is required?
At least ten years of applied machine learning or AI experience, with a record of owning ambitious systems end to end.
Is travel required?
Occasional travel may be needed for in-person project or team meetings.
Does the posting state a salary?
No figure is given. The posting refers only to competitive pay.
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