Staff Machine Learning Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Perform comprehensive research and implement cutting-edge LLM inference and orchestration techniques.

• Discover opportunities to utilize small language models via fine-tuning and distillation methods.

• Construct machine learning systems that function at Twilio's scale.

• Establish standards and tools for evaluating AI/ML capabilities.

• Quickly acquire technical expertise in a dynamic, high-delivery setting.

• Utilize and integrate the latest AI development stacks to enhance core differentiators.

• Develop foundational AI/ML capabilities and shared platform tools for intelligent engagement experiences.

• Shape the design and advancement of Twilio’s company-wide ML/AI Ops infrastructure.

• Ensure that AI capabilities undergo thorough offline and online evaluations.

• Enhance the management of LLM workloads across the organization.

• Facilitate compliant access to data for AI/ML research and product development.

⛳️ Requirements

• Over 8 years of applied ML/AI experience with a proven record of managing technically ambitious systems from start to finish.

• Comfort in a 0-to-1 environment with unclear requirements and a strong inclination towards action.

• Expertise in the Python programming language.

• Experience in developing cloud-based services on platforms like AWS, GCP, or Azure.

• Familiarity with high-volume data, streaming or real-time inference paths, and various data storage solutions.

• Strong foundational knowledge of statistical machine learning algorithms, transformer models, and LLMs.

• Extensive experience with ML Ops and LLM Ops methodologies.

• Experience in designing and implementing robust evaluation metrics for non-deterministic AI features at scale.

• Excellent communication skills and effective collaboration abilities.

• Knowledge of AI-assisted development tools such as Claude, Codex, GitHub Copilot, and Cursor.

• Previous experience in creating evaluations for autonomous agents and large language models.

• Background in building autonomous agents capable of managing multi-turn conversations and maintaining long-term context and consistency.

• Experience working within a globally distributed team.

• Demonstrated technical leadership and impact through contributions to open-source projects, technical presentations, blogs, papers, or research.

🏝️ Benefits

• Generous time off.

• Parental and wellness leave.

• Healthcare coverage.

• Retirement savings program.

• Incentive programs.

• Commissions.

• Equity grants.

• Health and wellness benefits.

• Retirement contributions.

• Paid time off.

• Support for employee volunteering and donation initiatives.