Staff Machine Learning Engineer
Indexed description
Our mission is to disrupt the mid-market ERP space by replacing disparate, rigid, workflow-driven systems with intelligent, autonomous software. We are building a system of action—where data, insights, workflows are unified, continuously learning, and increasingly automated to assist mid-market operators with managing their businesses.
You will design and own AI systems that power real business actions at scale.
Responsibilities
- Discover data sources, get access to them, import them, clean them up, and make them machine learning-ready.
- Work with AI scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
- Partner with AI scientists to understand, implement, refine and design machine learning and other algorithms.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
- Work cross functionally with product managers, AI scientists and product engineers, and communicate results to peers and leaders.
- Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
- Education: BS, MS, or PhD degree in Computer Science, Operations Research, Industrial Engineering, or a related field.
- Experience: 6+ years of industry experience in applied machine learning, AI engineering, or software engineering.
- Core Engineering: Strong proficiency in Python and software engineering fundamentals (data structures, algorithms, version control, CI/CD). Experience deploying highly scalable software supporting millions of users.
- Cloud & Infrastructure: Experience integrating applications with cloud technologies (i.e., AWS, GCP) and containerization (Docker/Kubernetes).
Bay Area California $ 202,500- 274,000
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