ML Engineer
Seattle, WA
Product Development /
Machine Learning Engineering /
On-site
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
