[Remote] Machine Learning Platform Engineer

Note: The job is a remote job and is open to candidates in USA. Whatnot is hiring a Machine Learning Platform Engineer to build and scale infrastructure powering machine learning and self-hosted large language model applications. The role focuses on productionizing ML models, large-model serving, and distributed GPU training and inference across the company.

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

• 7+ 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 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

Benefits

• Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
• Health Insurance options including Medical, Dental, Vision
• Work From Home Support
• Home office setup allowance
• Monthly allowance for cell phone and internet
• Care benefits
• Monthly allowance for wellness
• Annual allowance towards Childcare
• Lifetime benefit for family planning, such as adoption or fertility expenses
• Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
• Monthly allowance to dogfood the app
• 16 weeks of paid parental leave + one month gradual return to work; company leave allowances run concurrently with country leave requirements which take precedence
• Flexibility to work from home or from one of our global office hubs

Company Overview

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