Remote AI/ML Platform Engineer — Scale Production & Models

Whatnot; San Francisco (CA); Hybrid; USD 245,000 - 345,000; Full time

Benefits offered by this job

Health Insurance options

Work From Home Support

Home office setup allowance

Monthly cell phone/internet allowance

Parental Leave

401k employer match up to 4%

Pension plans internationally

Dogfood the app

Job summary

Whatnot is hiring an AI/ML Platform Engineer to design and scale the core infrastructure powering ML and self-hosted model deployments. You will work with ML scientists to bring cutting-edge models into production and enable scalable, low-latency serving and training across the platform.

You will prototype and productionalize ML architectures, build GPU-enabled pipelines, and extend inference and training systems as the company grows its AI capabilities.

Qualifications

• Bachelor's degree or equivalent in a technical field.
• 3+ years building production systems for consumer-scale loads.
• 1+ year Python development in production.
• Ability to work remotely and drive initiatives.
• Experience with PostgreSQL, DynamoDB, Elasticsearch, Redis.
• Familiarity with Datadog and Grafana for monitoring.
• Experience with AWS services and data pipelines.
• Strong documentation and communication skills.

Responsibilities

• Own infrastructure powering AI/ML models across critical business surfaces.
• Prototype, deploy, and productionalize novel ML architectures.
• Design and scale inference infrastructure with low latency and high throughput.
• Build distributed training and inference pipelines using GPUs.
• Take on new technical challenges as we scale AI across Whatnot’s ecosystem.

Skills

Python programming

Production systems

Remote collaboration

Documentation

Communication skills

Autonomous work

GPU/ML inference

Education

Bachelor’s degree in CS/Statistics/Math or related field

Tools

PostgreSQL

DynamoDB

Elasticsearch

Redis

DataDog

Grafana

AWS SageMaker

Lambda

Kinesis

S3

EC2

EKS/ECS

Apache Kafka

Flink

Job description

Whatnot is hiring an AI/ML Platform Engineer to design and scale the core infrastructure powering ML and self-hosted model deployments. You will work with ML scientists to bring cutting-edge models into production and enable scalable, low-latency serving and training across the platform.

You will prototype and productionalize ML architectures, build GPU-enabled pipelines, and extend inference and training systems as the company grows its AI capabilities.