Responsibilities

Find and Unlock Alpha: Go deep on customer problems and data workflows to identify the highest-leverage opportunities others miss — then build the solutions that capture them.
Ship What's Missing: When the product doesn't cover it, you do. Identify gaps through hands-on customer engagement and implement production-grade ML solutions that fill them.
Drive Adaptable Data Strategy: Lead the design and implementation of efficient, adaptive ML systems across real production environments and varied customer tech stacks.
Own the Outcome: You're not handing off a deck — you're a strategic and technical partner from discovery through deployment, accountable for results.
Raise the Bar: Develop compelling demos, deliver technical presentations to senior stakeholders, and set the standard for what great looks like across our customer base.

Qualifications

4+ years of experience in machine learning, applied research, or systems-level engineering for AI; 2+ years in a customer-facing technical role
Strong software engineering skills and familiarity with ML frameworks (e.g., PyTorch, JAX, TensorFlow)
Solid understanding of data modeling for training and how curation decisions shape model performance
Excellent communication skills and the ability to translate complex technical work into business impact across varied stakeholder environments
A mindset of ownership, curiosity, and a bias toward action

Experience with online learning, reinforcement learning, or efficient ML architectures
Experience training or fine-tuning models using human feedback, reward signals, or other adaptive learning techniques