Software Engineer, Machine Learning

Summary

Join Whatnot, a rapidly growing livestream shopping platform, as a Software Engineer specializing in Machine Learning. Partner with cross-functional teams to develop and deploy machine learning models that solve critical business problems. You will build scalable solutions, design ML infrastructure, and communicate insights effectively. This role requires 5+ years of experience in software engineering, a strong background in machine learning, and proficiency in Python and related technologies. Whatnot offers a competitive salary, comprehensive benefits, and a flexible remote-first work environment.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience
• Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data
• Extensive experience with Python for data science and machine learning software development e.g. Flask, FastAPI, Docker
• Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams
• Experience with operational databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis
• Proficiency and experience in applied statistical and machine learning fields e.g. Recommendations, Search, Fraud & Anomaly Detection, Experimentation and Causal Analysis
• 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, Kafka, Flink/Spark
• Professionalism around collaborating in a remote working environment and well tested, reproducible work
• Exceptional documentation and communication skills
• 5+ years of experience

Responsibilities

• Partner closely across the machine learning, platform, and product engineering teams to train models to solve product problems and productionize data science and machine learning artifacts
• Contribute scalable solutions across various serving stacks at the machine learning service and application layers
• Build and help set direction for ML infrastructure, such as feature construction patterns, data and model monitoring, online & offline scoring systems, and model usage patterns
• Develop high quality communication devices such as dashboards, notebooks, documents, and presentations to convey insights across a broad audience
• Define and advance our technical approach to scalable machine learning

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 $1,000 home office setup allowance
• $150 monthly allowance for cell phone and internet
• Care benefits
• $500 monthly allowance for wellness
• $5,000 annual allowance towards Childcare
• $20,000 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
• Parental Leave 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence