Real Estate β’ Home Values β’ Mortgages β’ Homes for Sale β’ Homes for Rent
5001 - 10000 employees
Founded 2006
π Real Estate
ποΈ eCommerce
π₯ B2C
π° $4.1M Post-IPO Equity on 2012-12
4 days ago
πΊπΈ United States β Remote
π΅ $158.2k - $252.8k / year
β° Full Time
π Senior
π§βπ» Full-stack Engineer
π¦ H1B Visa Sponsor
Real Estate β’ Home Values β’ Mortgages β’ Homes for Sale β’ Homes for Rent
5001 - 10000 employees
Founded 2006
π Real Estate
ποΈ eCommerce
π₯ B2C
π° $4.1M Post-IPO Equity on 2012-12
β’ Craft and build scalable infrastructure for orchestrating end to end machine learning lifecycle from experimentation phase to production jobs & services β’ Work with a variety of technologies such as Kubernetes, KNative, Argo, Spark, Kafka, Tensorflow etc. β’ Collaborate with Applied Scientists, Machine Learning Engineers and cross functional teams in crafting and implementing your technical vision β’ Work closely with our data infrastructure team to build the data systems and stores that power ML models. β’ Collaborate with various teams (Product, Engineering) to scope and deliver platform solutions
β’ A degree (BS+) in Computer Science or a related field β’ Masters in Computer Science preferred β’ 4+ years of experience with Machine Learning, data and/or backend web services & infrastructure β’ 1+ years of experience with platform solutions β’ Experience working with cloud services (AWS/Azure/GCP) β’ Excellent interpersonal skills and passionate about collaborating across organizational boundaries β’ Have vision and passion to make Machine Learning development easier for ML Practitioners β’ Experience developing sophisticated software systems scaling to millions of users with production quality deployment, monitoring and reliability β’ Experience with Databricks (for data and/or ML use cases) β’ Experience with building low latency, high reliability Web Services (K8s, KNative services) β’ Experience with Machine Learning Frameworks (e.g. PyTorch, Keras, Tensorflow, XGBoost) β’ Experience with modern data technologies (Spark, Hive, Kafka, Beam, Airflow)
β’ comprehensive medical, dental, vision, life, and disability coverages β’ parental leave β’ family benefits β’ retirement contributions β’ paid time off
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