Distributed Systems Engineer - Databases
Kumo in Mountain View, CA
Come and change the world of AI with the Kumo team!
Companies spend millions of dollars each year to store terabytes (and increasingly more!) of enterprise data. However, although they are able to use this data effectively for historic analytics today, they’re typically only able to leverage a fraction of it for predictive tasks, because of how difficult and time-consuming it is to set up production ML workflows. At Kumo, we are building the first data platform to seamlessly allow machine learning over data warehouses for faster, simpler, and smarter predictions. Query the future with Kumo.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
- Develop generic and generalizable APIs and domain specific languages for big data processing and machine learning (deep learning, graph representation learning)
- Design and implement complex, distributed platforms for storing data, and scaling parallel algorithms for deep learning workloads
- Create data storage and retrieval systems
- Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions
- Ability to quickly prototype optimization solutions and analyze large/complex data
- Experience working with database systems, Query Engines or Spark codebases
- 5+ years industry experience designing, building and supporting generic systems for large scale data analytics and deep learning in production.
- Experience building large scale distributed fault tolerant services.
- Experience building generalizable APIs and domain specific languages.
- Excellent understanding of low level operating systems concepts including multi-threading, memory management, networking and storage, performance and scale.
- Strong CS fundamentals including data structures, algorithms, and distributed systems.
- Systems programming skills including multi-threading, concurrency, etc. Fluency in C++ is preferred.
- Track record of identifying and implementing creative solutions.
- Experience with cloud infrastructure - AWS, Azure or Google Cloud.
- BS in Computer Science; Masters or PhD Preferred.
- Fluency in English.
- Build an industry-leading Cloud AI Platform that customers love.
- Solve challenging technical problems related to security, parallel and distributed systems, programming, resource management, large-scale system maintenance, and more!
- Experience Implementing multi-tenant systems, with focus on isolation and security.
- Learn about and contribute to:
- Super-robust and secure enterprise SaaS platform that services thousands of customers and hundreds of millions of complex machine learning queries daily.
- Highly-scalable and reliable cloud platform that runs on hundreds and thousands of machines.
- Optimizing performance and resource management in Java systems.
- Join a world-class team of both industry veterans and rising stars.
- Stock
- Competitive Salaries
- Medical Insurance
- Dental Insurance