Senior Software Engineer - AI/Algs

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June 16

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Keebo

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Artificial Intelligence • Enterprise • SaaS

Keebo is a company specializing in fully automated optimization solutions for Snowflake data warehouses. Known as "The Snowflake Savings Machine," Keebo uses its patented technology to automatically adjust settings like warehouse size, clustering, and memory to save customers significantly on their Snowflake costs. The platform is designed to be user-friendly and secure, using only telemetry metadata while offering full visibility and control over optimizations. Setup is simple, requiring only 30 minutes, and users can start realizing savings within 24 hours without impacting performance. Keebo's solution stands apart by delivering real-time cost optimizations and performance protection continuously, unlike other tools that only report data without taking proactive actions.

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Series A on 2022-10

📋 Description

• As a Senior Software Engineer on our AI team, you will bring your expertise in data engineering and ML Ops to help the team move faster and achieve critical revenue goals for Keebo. • You will work closely with the AI engineers to understand their data and training needs, design and implement an improved ML platform that balances cost and speed of development, and have an opportunity to do AI/ML engineering yourself. • Design and implement an AI/ML platform that balances speed of development with cloud costs • Collaborate with the rest of the AI team achieve goals that drastically impact the revenue of the business • Mentor AI engineers in data engineering and MLOps best practices • Mentor engineers across Keebo in data engineering and architecture best practices

🎯 Requirements

• Experience as a data engineer, building data pipelines, ensuring data quality, and implementing data modeling for use by ML/analytical models • Experience with MLOps, including using automated testing and CI/CD to speed up model development • Experience automatically monitoring the quality and effectiveness of ML/AI models from local dev through to production • Experience with GCP or AWS • Experience with Python and Golang, or similar • Skilled in designing and implementing scalable, resilient data engineering and MLOps architectures that balance cost and speed of development • Skilled in being self-directed and moving quickly to build and improve systems and architectures • Strong communication skills and ability to advocate for data engineering best practices across the entire engineering organization • Skilled in mentoring engineers in data engineering best practices • Ability to work in a fast-paced early stage startup • Skilled at communicating effectively in a distributed environment with people across multiple time zones • Strong self-motivation, initiative, and adaptability • Experience with Java • Experience with Google Cloud • Experience working as an ML/AI engineer in the past

🏖️ Benefits

• Competitive salary packages • Equity • Home office stipend • Comprehensive medical, dental, and vision benefits • 401k retirement program • Annual company offsite (this year the team met up in Cancún, Mexico!) • Paid time off • Paid parental leave