Software Engineer, Core Machine Learning Specialist

4 hours ago


Los Angeles, California, United States Whatnot Full time
Job Title: Software Engineer, Core Machine Learning

Whatnot is a livestream shopping platform and marketplace backed by top investors. We're building the future of ecommerce, bringing together community, shopping, and entertainment. As a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today.

Job Description:

We're innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.

Key Responsibilities:
  • Drive the development of the machine learning platform roadmap, staying abreast of emerging business needs that the machine learning platform can help address.
  • Enhance our machine learning infrastructure--increase reliability, reduce latency, and continually improve the developer experience.
  • Develop scalable machine learning design patterns that make it easy for machine learning scientists and engineers to safely deploy models to production.
  • Improve model training, management, and monitoring
  • Take a leading role in deploying ML models on business critical surfaces & flows.
  • Define and advance our technical approach to scalable machine learning.
  • Flex outside your comfort zone to help take on new challenges that emerge
Requirements:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience.
  • 2+ years of professional experience setting up machine learning platforms–model serving, features stores, model registries, training pipelines, etc.
  • 1+ years of professional experience developing software in Python
  • Software engineering experience with a track record of applying practical methods to solve real-world problems on consumer scale data.
  • 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, Spark.
  • Professionalism around collaborating in a remote working environment and well-tested, reproducible work.
  • Exceptional documentation and communication skills.
  • Experience in applied statistical and machine learning fields e.g. Recommendations, Search, Fraud & Anomaly Detection, Experimentation and Causal Analysis preferred.
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 $450 monthly allowance on food $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.


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