Job Description
- Able to solve ambiguous problems and deliver top-tier solutions.
- Eager to learn about new domains and ship high-quality, well-tested code.
- Able to produce generic and optimal solutions while balancing near-term needs.
- Excited to work in a multidisciplinary environment (engineering, algorithms, data engineering/science, product experimentation).
- Comfortable working in a majority-remote team with partners distributed across (US) geographies & time zones.
- Willing to take broad ownership of team responsibilities (building roadmaps, scoping, task breakdowns, etc.)
- Building high-traffic, real-time distributed systems and ML infrastructure.
- Supporting large-scale ML models with a direct impact on what customers see.
- Translating the requirements of research scientists into generic platform offerings.
- Delivering systems requiring high availability, throughput, and performance.
- Navigating highly ambiguous environments.
- Taking on and executing zero-to-one projects.
- Leading projects with 3-4 other engineers.
- Building applications in an object-oriented programming language. (We work primarily with Java, and while prior Java experience is not required to interview, you will be expected to become proficient on the job.)
- DevOps for large applications, including performance tuning, optimization, deployment management, and capacity planning.
- Public cloud like AWS, Azure, or GCP.
- You are a proactive, effective communicator and have a strong bias towards action.
- You have a BS/MS in Computer Science, Applied Math, Engineering, or a related field.
Date Posted
03/07/2024
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