Staff Machine Learning Engineer

Requirements:

• Bachelor's degree in computer science, information systems, statistics, math, or a comparable field of study, and/or equivalent work experience.
• 8+ years of experience building and operating ML engineering systems in production environments.
• Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems.
• Comfortable operating at all levels of the predictive stack, including data collection, data analysis, feature engineering, batch training, and low-latency online serving.
• Experience designing and developing backend microservices for large-scale distributed systems using REST.
• Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize).
• Familiarity with developing and deploying Spark and ML pipelines.
• Hands-on experience with big data technologies such as Databricks, Kinesis, and Kafka.
• Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals.
• Experience with observability tools for metrics, logging, and monitoring such as Datadog.
• Experience working in Agile/Scrum development environments.
• Excellent communication skills and a commitment to collaboration in a fast-paced, guest-focused environment.