Machine Learning Engineer

Outfit Labs - Chicago, IL

Full-time - Mid Level

Chicago, IL

About the position

As a Machine Learning Engineer at Outfit Labs, you will play a crucial role in developing the AI layer for our customer-facing product. This position involves collaborating with cross-functional teams to conceptualize and scope new features, while also focusing on advanced prompt engineering and the optimization of large language models (LLMs). Your work will directly contribute to enhancing user experiences through innovative AI solutions.

Responsibilities

• Work on the AI layer for Outfit's customer-facing product.
• Collaborate closely with engineering, product, and design teammates on concepting and scoping new features.
• Develop advanced prompt engineering techniques.
• Build self-improving and self-evaluating LLM systems.
• Fine-tune models for our domain.
• Optimize prompt orchestration and content filtering.
• Implement Retrieval-Augmented Generation (RAG) for place-specific knowledge.
• Improve text summarization and semantic search.
• Set up and manage hosted models.
• Implement streaming for real-time AI interactions.
• Establish LLM tracing and evaluation metrics.

Requirements

• 3-5 years of experience in ML engineering, focusing on NLP.
• Proficient in Python and NLP libraries.
• Experience with AWS SageMaker and vector stores (e.g., pgvector).
• Understanding of Large Language Models (LLMs) and prompt engineering.
• Experience with model fine-tuning and deployment.
• Familiar with AWS services and cloud architecture.
• Strong data processing and analysis skills.
• Experience with Git and collaborative development.
• Ability to balance theory with practical implementation.
• Problem-solving skills and attention to detail.
• Excellent communication skills, especially explaining AI concepts.

Benefits

• Flexible work environment with a focus on work-life balance.
• Access to cutting-edge AI tools to boost your productivity.
• Medical, Vision, and Dental benefits.