Software Engineer, Machine Learning
August 8
🏢 In-office - Manhattan
Description
• 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.
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.
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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