[Remote] Senior Manager, Machine Learning

Note: The job is a remote job and is open to candidates in USA. Twilio is shaping the future of communications and is seeking a Senior Manager for their Machine Learning team. This role involves managing a team of Machine Learning and Data Engineers to build advanced ML models and data pipelines, ensuring safe and legal communications across various channels.

Responsibilities

• Manage and Mentor a team of talented Machine Learning and Data Engineers with various levels of experience and positively influencing their careers
• Partner with Product Managers and Architects to distill customer needs into actionable technical requirements and long-term roadmaps
• Ensure best engineering practices & oversee end-to-end execution of large-scale ML solutions with operational excellence
• Work with data platform teams to build robust, scalable batch and real-time data pipelines
• Work closely with the Fraud and Compliance Operations team and the Data Analytics team to identify and understand the ever-changing landscape of fraud vectors and then take action to keep up with new forms of fraud
• Work with other product and development teams to ensure that Twilio’s new and existing products incorporate anti-fraud efforts and publish the appropriate data to our fraud-fighting tools
• Advocate for agile processes, continuous integration (CI/CD), automated testing, and sophisticated model monitoring to minimize "toil."
• Institute and maintain a rotating on-call incident escalation and response processes for the team
• Manage highly critical risk platform tools in the cloud
• Own reliability for the team’s services and participate in an on-call rotation
• Adapt to prioritizing multiple issues in a high-pressure environment
• Understand complex architectures and be comfortable working with multiple teams
• Conduct short term and long term planning to achieve team’s goals identifying both tactical and strategic commitments and gaps while performing capacity management and ruthless prioritization

Skills

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 10–14+ years of total experience in machine learning /data engineering
• 5+ years of experience leading and managing engineering teams
• Proven track record of shipping and maintaining ML models in a fast-paced, production environment
• Experience developing highly-available full stack applications and distributed systems
• Stellar communication, organization and management skills with proven track record in an agile environment
• Ability to explain your technical and business decisions succinctly as well as in detail
• Languages: Expert proficiency in Python. Familiarity with Java or Scala is a plus
• ML Frameworks: Deep experience with PyTorch, TensorFlow, or Keras
• Data Tools: Experience with Kafka, Apache Spark, Hadoop, Presto, and DynamoDB
• Cloud Platforms: Significant experience with AWS (specifically SageMaker, EKS, or ECS)
• Observability: Familiarity with tools like Datadog and Grafana
• Experience working in fraud/compliance domain
• Knowledge of telecommunications
• Familiarity with popular LLMs and latest developments

Benefits

• Equity plan
• Corporate bonus plan
• Health care insurance
• 401(k) retirement account
• Paid sick time
• Paid personal time off
• Paid parental leave
• Generous time-off
• Ample parental and wellness leave
• Healthcare
• A retirement savings program

Company Overview

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