ML Platform Engineer: Scale AI in Production (Remote)

Whatnot; Los Angeles (CA); Hybrid; USD 245,000 - 345,000; Full time

Benefits offered by this job

Flexible time off

Health Insurance

Home office allowance

Cell phone & internet allowance

Wellness allowance

Childcare allowance

Pension plans

Dogfooding budget

Parental leave

Job summary

Whatnot, a leading live shopping platform, seeks engineers to design and scale AI/ML infrastructure powering recommendations, safety, and seller tooling. You will work with ML scientists to bring cutting-edge models into production, delivering dependable, scalable ML services across Whatnot’s marketplace.

Ideal candidates have 3+ years in software engineering, strong Python, and experience with databases and cloud services.

Qualifications

• Bachelor's degree in a 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 and communicate findings with leadership and product teams.
• 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.

Responsibilities

• Own the infrastructure powering AI and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more.
• Prototype, deploy, and productionalize novel ML architectures that directly shape user experience and marketplace dynamics.
• 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.

Skills

Autonomy

Communication

Documentation

Problem solving

Education

Bachelor's degree in CS/Stats/Math

Tools

PostgreSQL

DynamoDB

Elasticsearch

Redis

DataDog

Grafana

AWS Sagemaker

AWS Lambda

AWS Kinesis

AWS S3

EC2

EKS/ECS

Apache Kafka

Flink

Job description

Whatnot, a leading live shopping platform, seeks engineers to design and scale AI/ML infrastructure powering recommendations, safety, and seller tooling. You will work with ML scientists to bring cutting-edge models into production, delivering dependable, scalable ML services across Whatnot’s marketplace.

Ideal candidates have 3+ years in software engineering, strong Python, and experience with databases and cloud services.