About Us
Our client is a Series C ($95 million) AI cloud-based ML platform, founded by a team of ex-Google, Amazon, IIT, and Dartmouth professionals, and backed by Decibel Ventures, Tiger Global, and Eric Schmidt. They are the world's first cloud AI platform that manages all aspects of machine and deep learning at an enterprise scale.
They provide an extremely customizable end-to-end autonomous AI service for repeatable use cases such as churn prediction, time-series forecasting, and deep-learning-based personalization. Their expert AI agents wrangle data, train machine and deep learning models, and monitor them in production.
In Addition To All Available Open-source Algorithms, Our Client Has Developed Techniques To Train Custom Neural Networks That Outperform Classical Models And Are Easily Automated. Their State-of-the-art Toolset Allows ML Practitioners And Data Science Teams To
- Wrangle data
- Build real-time machine and deep learning features
- Upload IPython notebooks
- Monitor model drift
- Set up CI/CD for machine learning systems
Their MLOps infrastructure enables faster go-to-market strategies, outperforming any other industry-leading platform. With an intuitive UX and holistic platform, they eliminate the need to orchestrate across multiple services and tackle hard scale problems.
Their platform has been adopted by world-class organizations, including several Fortune 500 companies. Headquartered in San Francisco, they are funded by notable investors including Mike Volpi from Index Ventures, Eric Schmidt (ex-CEO and Chairman of Google), and Ram Shriram (board member of Google). Their founding team consists of AI scientists and ML engineers with degrees from premier universities such as Stanford, MIT, CMU, UC Berkeley, Dartmouth, and IIT, who have previously shipped high-profile products at Google, Amazon Web Services, and Uber.
What We Look For
- 2-6 years of product management or software development experience
- Ability to recognize customer needs and create an encapsulating product vision
- Translate requirements into product specifications
- Drive alignment with stakeholders and bring products to market
- Ownership and a get-stuff-done attitude
- Strong bias to ship products by understanding critical success factors
- PhD in ML or BS in CS (Computer Science) from a top school
- Hands-on experience with data analytics products such as:
- Spark
- Postgres
- MySQL
- Oracle Exadata
- Teradata
- Netezza
- Greenplum
- Amazon S3
- Redshift
- Athena
- Glue
- Glacier
- Azure Data Lake Storage (ADLS)
- Google Cloud Storage (GCS)
- Delta Lake
- Data Lakes
- Google BigQuery
- Azure Synapse
- Snowflake
- Apache Hudi
- Apache Iceberg
- Experience working with successful open-source projects.
Employment Type: Full-Time