Senior Account Manager, Test and Quality Solutions
Averna
Grow Averna’s test and quality solutions business across the UK and Ireland. Build customer relationships, manage Salesforce opportunities and negotiate complex technical sales.
Open
Twilio provides cloud communications infrastructure that helps developers and businesses build customer engagement features directly into their applications. Its APIs support voice, text messaging, chat, video, and email, giving organizations access to multiple communication channels through software rather than separate systems. Founded in 2008, Twilio operates in the API and B2B technology sectors and has a global presence with a workforce of approximately 5,001–10,000 employees. The company’s careers profile is relevant to candidates interested in developer platforms, communications technology, and enterprise software.
Staff Machine Learning Engineer (India, Remote)
Lead the development of foundational AI and machine learning capabilities for Twilio’s customer communications platform. Work across LLMs, personalization, real-time inference, and large-scale ML systems.
Description
- Develop core AI and machine learning capabilities for intelligent engagement experiences
- Create product functionality in a rapidly evolving, widely adopted environment
- Convert open-ended ideas into structured experiments and deliver results within weeks
- Research advanced LLM orchestration, retrieval methods, and data-driven personalization
- Engineer machine learning systems that operate at Twilio scale
- Expand technical expertise while delivering in a fast-paced environment
- Adopt modern AI development stacks to strengthen core product differentiation
- Lead research initiatives focused on contextual intelligence and large-scale machine learning challenges
Requirements
- At least 8 years of applied machine learning or AI experience, including end-to-end ownership of technically ambitious systems
- Ability to work from ambiguous requirements in zero-to-one environments with strong initiative
- Proficiency in Python
- Experience building cloud services on AWS, Google Cloud Platform, or Azure
- Experience handling high-volume data, streaming or real-time inference, and varied data stores
- Strong understanding of statistical machine learning, transformer architectures, and large language models
- Ability to elevate engineering standards through mentorship, design reviews, and technical guidance without formal management authority
- Clear communication and effective collaboration skills
- Preferred: experience developing autonomous agents for multi-turn conversations and persistent context
- Preferred: experience with user-behavior prediction, experiment design, and causal or counterfactual methods
- Preferred: experience collaborating in globally distributed teams
Benefits
- Competitive compensation
- Generous paid time off
- Substantial parental leave
- Wellness leave
- Healthcare coverage
- Retirement savings program
- Support for volunteering and charitable donations
- Remote-first working arrangement
- Occasional travel for project or team meetings
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