The opportunity
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
What you'll do
Collaborate with other engineering teams and cross functional teams to: translate ambiguous business problems into a clear, prioritized ML product roadmap for your team.
Have a 'player-coach' mentality, and contribute hands-on technical expertise: while providing strategic direction and mentorship to the team.
Establish a high-performing engineering setup that enables the team to: rapidly iterate, experiment, and deploy models, fostering a culture of operational excellence and close partnership with product and business stakeholders.
Drive continuous improvement in the team's processes, tooling, and: infrastructure to optimize for velocity, quality, and maintainability.
Actively monitor the ML and AI landscape to ensure the team is continuously: up-to-speed on state-of-the-art research, techniques, and tools, promoting their strategic adoption where appropriate.
Recruit, manage, and develop a diverse and highly-skilled team of Machine: Learning Engineers, setting clear goals and expectations, and providing timely and actionable feedback.
What they're looking for
- Define and track key performance indicators (KPIs) to measure the impact and: success of the team’s ML products, communicating results clearly to leadership and stakeholders.
- Manage project timelines, dependencies, and risks, ensuring timely delivery: of high-quality, reliable, and scalable ML solutions.
- Bachelors in Computer Science, Engineering, or a related field.
- + years of experience in Applied ML or AI, including 3+ years of either: leading a team of Machine Learning Engineers or data scientists.
