# Applied ML Engineer

**Company:** [Adaption Labs](https://hotfix.jobs/companies/adaption-labs)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Experience:** 4+ years
**Skills:** PyTorch, JAX, TensorFlow, Machine Learning, Applied Research, Data Modeling, Reinforcement Learning, Online Learning
**Posted:** 2026-06-12

> Build and deploy production ML solutions for strategic customers, identifying gaps through direct engagement and implementing adaptive systems that evolve with real-world use. Requires 4+ years ML experience and 2+ years customer-facing technical work.

## Job Description

## 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

## Bonus Qualifications
- 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

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