🛠 Tech Stack

💼 About This Role

You'll deploy and customize state-of-the-art tabular foundation models for strategic enterprise clients, owning the integration into platforms like Databricks and Snowflake. You'll drive measurable impact by making cutting-edge research production-ready in high-stakes industries. This role combines deep ML engineering with client-facing solution delivery at a fast-growing startup.

🎯 What You'll Do

• Work hands-on with clients to deploy models and achieve business outcomes
• Design and implement integrations with Databricks, Snowflake, and enterprise ecosystems
• Customize and optimize models for diverse use cases balancing performance and scalability
• Gather insights from deployments to inform product development and model evolution

📋 Requirements

• Expert-level Python skills
• Hands-on experience with PyTorch and Scikit-learn
• Proven track record of deploying ML systems in production

✨ Nice to Have

• Experience in forward-deployed engineering or technical customer-facing roles
• Proficiency with cloud platforms (AWS, GCP, Azure) and modern data pipelines
• Expertise in APIs, deployment pipelines, and enterprise integration architectures

🎁 Benefits & Perks

• 📈 Meaningful equity and competitive compensation
• 🌍 Work with state-of-the-art ML architecture and substantial compute resources
• ⛰️ Annual company-wide offsites (last trip to the Alps)
• 🏖️ 30 days paid vacation + public holidays
• 🏥 Comprehensive benefits including healthcare, transportation, and fitness