Software Engineer, Machine Learning Infrastructure

📋 Description

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

🎯 Requirements

• 4+ years professional experience developing ML systems and algorithms.
• Bachelor's in CS/Statistics/Applied Math or related field, or equivalent.
• 3+ years software engineering for production systems.
• 1+ years Python development experience.
• Experience with PostgreSQL, DynamoDB, Elasticsearch, Redis.
• DataDog and Grafana for monitoring.

🎁 Benefits

• Flexible time off and company-wide holidays.
• Health insurance options (Medical, Dental, Vision).
• Work From Home support and home office setup allowance.
• Monthly allowance for cell phone and internet.
• Parental leave and family planning benefits.