Staff Machine Learning Engineer (L4)
Twilio
about 2 months ago
Remote, India
Staff+
H1B Sponsor
Responsibilities
- Build and maintain scalable machine learning solutions in production.
- Train and validate deep learning and statistical models based on use-case and performance.
- Demonstrate end-to-end understanding of applications and models.
- Partner with product managers and stakeholders to analyze business problems.
- Work with data platform teams to build scalable data pipelines.
- Collaborate with software engineers to enhance productivity and maintain ML models.
- Drive high engineering standards through mentoring and knowledge sharing.
- Uphold engineering best practices around code reviews and automated testing.
Requirements
- 7+ years of applied ML experience with proficiency in Python.
- Strong background in Machine Learning and Deep Learning foundations.
- Experience building and maintaining ML models in production.
- Track record of designing large scale experiments to inform product roadmaps.
- Understanding of frameworks like PyTorch, TensorFlow, or Keras.
- Familiarity with ML Ops concepts for testing and maintaining models.
- Ability to operate effectively in new application/business domains.
- Experience with modern data storage and processing tools.
- Experience working in an agile team environment.
- Experience with AWS.
Benefits
- Competitive pay and generous time off.
- Ample parental and wellness leave.
- Healthcare and retirement savings program.
Tech Stack
Amazon DynamoDBApache HadoopApache KafkaApache SparkAWSKerasPrestoPythonPyTorchTensorFlow
Categories
AI & MLData Science