AI / ML Platform Engineer

4+ years of professional experience developing machine learning systems and algorithms Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience 3+ years of software engineering experience building and maintaining production systems for consumer-scale loads 1+ years of professional experience developing software in Python Ability to work autonomously and drive initiatives across multiple product areas Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink Professionalism around collaborating in a remote working environment and well tested, reproducible work Exceptional documentation and communication skills

Own the infrastructure powering AI and ML models across critical business surfaces Prototype, deploy, and productionalize novel ML architectures Design and scale inference infrastructure capable of serving large models with low latency and high throughput Build distributed training and inference pipelines leveraging GPUs and both model and data parallelism Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem