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About Revefi
Founded in 2021 by Sanjay Agrawal and Shashank Gupta, the visionary co-founders of ThoughtSpot ($4.2B+ valuation), Revefi is building an AI Agent for Data Spend Optimization, unifying observability across data quality, usage, spend, and performance — a category-defining platform for modern data teams. Backed by $20M in Series A funding from Icon Ventures, Mayfield Fund, GTM Capital, and StepStone Group, we’re on a mission to build the future of Data Spend Optimization and Cloud Data Operations.
The Role
This is a unique, zero to one opportunity. You will be responsible for the full ML stack for the product.
Responsibilities
- Develop and implement machine learning models that can improve business processes and outcomes, including those related to anomaly detection and time series forecasting.
- Participate in the design, development, testing, and deployment of machine learning algorithms and models.
- Responsible for the full development and production ML stack.
Requirements
- Bachelor's degree in computer science, data science or a related field.
- 5+ years of experience in implementing, deploying and maintaining ML models.
- Strong hands on experience in machine learning algorithms and techniques, such as regression, classification, clustering, deep learning, anomaly detection, and time series forecasting.
- Strong programming skills in languages such as Python, Java, or R, with experience in libraries and frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Familiarity with data analysis and visualization tools, such as Pandas, NumPy, and Matplotlib, with experience in time series analysis and visualization.
- Excellent problem-solving and analytical skills, as well as attention to detail.
- Good communication and collaboration skills, and the ability to work in a team environment.
Revefi Redmond, Washington, USA Office
8201 164th Ave NE, Redmond, Washington, United States, 98052
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
