Machine Learning Platform Engineer

📋 Description

• Own infrastructure powering AI/ML models across surfaces.
• Prototype, deploy, and productionalize ML architectures.
• Design and scale inference infra for large models with low latency.
• Build distributed training and inference pipelines with GPUs.
• Collaborate with ML scientists to scale AI across Whatnot's ecosystem.

🎯 Requirements

• 4+ years in ML systems and algorithms.
• 3+ years software engineering for production systems.
• 1+ years Python development.
• Experience with PostgreSQL, DynamoDB, Elasticsearch, Redis.
• Familiar with AWS services (Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS).
• Strong documentation and communication skills.

🎁 Benefits

• Flexible time off and holidays.
• Health insurance options (medical, dental, vision).
• Work-from-home support and home office setup allowance.
• Monthly cell phone and internet stipend.
• 401k retirement plan with employer match.
• Parental leave and family planning benefits.