Applied ML Engineer

We're looking for an Applied ML Engineer who thrives at the intersection of applied research and building real-world products, working directly with strategic customers to identify high-leverage opportunities and build production-grade ML solutions. You'll design adaptive ML systems across varied customer tech stacks, own outcomes from discovery through deployment, and raise the bar through compelling demos and technical presentations.

• Find and Unlock Alpha: Go deep on customer problems and data workflows to identify the highest-leverage opportunities and build solutions.
• Ship What's Missing: Identify product gaps through hands-on customer engagement and implement production-grade ML solutions.
• Drive Adaptable Data Strategy: Lead design and implementation of efficient, adaptive ML systems across production environments and varied tech stacks.
• Own the Outcome: Serve as 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 customer excellence.

• 4+ years 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 ability to translate complex technical work into business impact
• Mindset of ownership, curiosity, and 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 adaptive learning techniques