Machine Learning Engineer (L3)
Remote - US
See yourself at Twilio
Join the team as Twilioâs next Machine Learning Engineer (L3) on the Data Services and Throughput team.
Who we are & why weâre hiring
Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.
Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business.
About the job
This position is needed to to drive the innovation and creation of cutting-edge products that serve the needs of developers, builders, and operators. You will be a crucial bridge between Product and Design, tasked with developing, evaluating and maintaining scalable Machine Learning models within low-latency for real-time applications. Your collaboration and expertise will be fundamental in delivering robust solutions that power our users' success. You will be closely working with a cross-functional team of engineers, architects, product, UI/UX and partners to develop ML and data driven algorithm aspects of customer facing products in Twilio Communication applications. Â
Twilio Communications is the leading software for sending messages programmatically. The Data Services and Throughput organization builds AI-enabled capabilities that separate Twilio from its competitors in messaging capabilities. Â
Responsibilities
In this role, youâll:
- Build and maintain scalable, high quality machine learning solutions in production
- Design and implement tools and procedures to evaluate performance and accuracy of models and data. Â
- Work closely with software engineers, build tools to enhance productivity and to ship and maintain ML models
- Demonstrate end-to-end understanding of applications and âwhyâ behind models & systems and develop high quality ML-based software at scale
- Truly own the product you work on. Be responsible for SLA, on call, incident resolution, customer feedback, and participate in blameless post-mortems to make our products better.
- Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems and leverage state-of-the-art Statistics, Machine Learning, Deep Learning and Gen AI to address the business problems.
- Drive high engineering standards on the team through code review, automated testing, and mentoring.
- Collaborate and brainstorm product ideas with product managers, designers, and engineers.
QualificationsÂ
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Benefits/PerksCollaborative environment Competitive pay Diversity and inclusion support Healthcare Offerings vary by location Parental and wellness leave Parental leave Remote work flexibility Retirement savings Retirement savings program Wellness leave
Tasks- Analyze business problems
- Build relationships
- Collaborate with cross functional teams
- Mentoring
- Training
A/B Testing Agile AI Algorithms AWS Azure Benefits Business Communications CI/CD CI/CD pipelines Cloud Collaboration Communication Communications Data Solutions Deep Learning Engineering Feature Engineering Flask Forecasting Google Cloud Java Kafka Machine Learning Mentoring Messaging ML Monitoring Nltk Python PyTorch Scikit-learn Spark System design TensorFlow Training Verbal communication
Experience4 years
EducationBusiness Communications Engineering
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9