<div class="content-intro"><p><strong>Who we are </strong></p> <p>At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to<a class="c-link" href="https://customers.twilio.com/" target="_blank" data-stringify-link="https://customers.twilio.com/" data-sk="tooltip_parent"> hundreds of thousands of businesses </a>and empower millions of developers worldwide to craft personalized customer experiences.</p> <p>Our dedication to <a class="c-link" href="https://www.twilio.com/en-us/blog/open-work" target="_blank" data-stringify-link="https://www.twilio.com/en-us/blog/open-work" data-sk="tooltip_parent">remote-first work</a>, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.<br><br></p> <p><strong>A quick heads-up about hiring and how we work :</strong></p> <p>We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! </p> <p>Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. </p></div><p class="p1"><strong>See yourself at Twilio</strong></p> <p>Join the team as Twilio’s next Staff Machine Learning Engineer.</p> <h4>About the job</h4> <p>This position is needed to scope, design, and deploy machine learning systems into the real world, the individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services.</p> <p>You will understand customers need, build data products that works at a global scale and own end-to-end execution of large scale ML solutions. </p> <p>To thrive in this role, you must have a deep background in ML engineering, and a consistent track record of solving data & machine-learning problems at scale. You are a self-starter, embody a growth attitude, and collaborate effectively across organizations.</p> <h4>Responsibilities</h4> <p>In this role, you’ll:</p> <ul> <li>Build and maintain scalable machine learning solutions in production</li> <li>Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness</li> <li>Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems</li> <li>Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed</li> <li>Work closely with data platform teams to build robust scalable batch and realtime data pipelines</li> <li>Collaborate with software engineers, build tools to enhance productivity and to ship and maintain ML models</li> <li>Drive high engineering standards on the team through mentoring and knowledge sharing</li> <li>Uphold engineering best practices around code reviews, automated testing and monitoring</li> </ul> <h4>Qualifications </h4> <p>Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn t followed a traditional path, don t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!</p> <h4><strong>Required:</strong></h4> <ul> <li>7+ years of applied ML experience with proficiency in Python</li> <li>Strong background in the foundations of Machine Learning and building blocks of modern De

Staff, Machine Learning Engineer (L4)

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