[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
Company H1B Sponsorship