Sr. Software Engineer, Full Stack
March 7
🏢 In-office - Bay Area
Description
• Connect our machine learning code to databases, and the databases to our front-end. Our machine learning engineers and leadership use this stack to schedule, launch, monitor, track and debug experiments, jobs and models. • Work on the platform of tools and infrastructure of whatever the machine learning team needs to be effective. This spans a wide scope: from machine learning code in Python to back-end and front-end work in JavaScript. • Coordinate required hardware resources with the team, managing cluster hardware to maintain high availability. • Work directly with the machine learning team to understand requirements and priorities. • As one of our early hires, you’ll shape our practice, bringing your technical leadership, experience, and knowledge of best practices to establish a strong engineering culture.
Requirements
• BS/MS in Computer Science or the equivalent in experience, with evidence of exceptional ability • Strong understanding of JavaScript (ES6+), Python • Experience building modern web applications using React/Redux or similar component-based libraries • UI and graphic design sensibilities • Interest in machine learning, computer vision or neural networks • Must be willing to constantly learn new things • Passionate about joining a small team and building a company • Experience working with large computer clusters • Knowledge of machine learning, computer vision, or neural networks is a plus • You've worked at a startup before • A history of working on side/hobby projects and contributing to open source projects is a plus
Benefits
• Competitive salary ($80k-165k) • Clear path for career growth • San Francisco Bay area • Company laptop • Unlimited time off • Leveling up opportunities • Team bonding events • Stock options • Remote friendly • Medical, dental, and vision insurance • Flexible parental leave • Flex hours
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