about 4 hours ago
Base Salary
$230k - $360k/yr
Responsibilities
- Design, build, and maintain scalable platform services that serve millions of transactions per second.
- Run and monitor online A/B tests, analyzing metrics to optimize recommendation system performance.
- Collaborate with engineering and cross-functional teams to translate business requirements into platform components and APIs.
- Enhance the ML platform ecosystem for high developer velocity and system scalability.
- Contribute to onboarding and mentoring new team members on platform engineering best practices.
Requirements
- 5+ years of experience building software solutions.
- Strong computer science fundamentals and ability to write algorithms.
- Fluency in high-level programming languages like Java, Scala, Kotlin, or Python.
- Experience with big data systems such as Spark, Kafka, Flink, S3, and AirFlow.
- Familiarity with ML frameworks and tools like Ray, PyTorch, HuggingFace, and AWS Sagemaker.
- Curiosity about AI and experience with Generative AI is a plus.
- MS in Computer Science or a related field.
Benefits
- Health insurance, equity awards, life insurance, and disability benefits.
- Parental leave and wellness benefits.
- Paid time off and support for mental health and financial wellness.
- Flexible remote work options on Fridays.
Tech Stack
Categories
AI & MLData Engineering