What You Will Work On Our primary focus has been on document extraction and understanding, where we utilize multimodal LLMs, including our own in-house foundation model, to extract, normalize, and link data together into our domain model. As Loop’s customers rely on Loop to ingest and normalize highly accurate data, we hold ourselves to a high standard to build models with a very high level of accuracy. In tandem, Loop’s machine learning platform requires a high degree of reliability and scalability, and we expect our training and inference volume to scale several orders of magnitude in the coming year. Going forward, Loop will expand its AI capabilities, expanding into other areas such as workflow automation and audit, where we will utilize agents to tackle these problems.

This Role Spans Multiple Domains

• ML modeling – training, evaluating, and deploying models.
• AI engineering – utilizing and orchestrating API LLM models to solve business problems at Loop.
• Backend engineering – building out atomic tasks, general backend work in the servicing or automation domain.

Some Projects You Might Work On

• Building the next generation of our foundation model to scale document extraction to multiple languages as Loop scales internationally.
• Developing agents to audit freight invoices and ingest long contracts.

Qualifications

• 1+ years of hands-on experience in deep learning frameworks (e.g., PyTorch, Tensorflow, etc.)
• Solid understanding of fundamental ML algorithms, especially multimodal LLMs.
• Experience fine-tuning LLMs and deploying them to production or building out agentic systems.
• Ability to ship high-quality code to production.
• Experience in cloud environments (AWS, Google, Azure).
• Strong communication skills and willingness to collaborate in a cross-functional team environment with domain experts.
• Keep up to date with the latest AI research.
• Ability to work in a fast-paced environment.

Bonus Points

• Prior startup experience.
• End-to-end experience building out machine learning models and features.

Compensation

• Base pay 130k - 200k

Benefits & Perks

• Premium Medical, Dental, and Vision Insurance plans
• Insurance premiums covered 100% for you
• Unlimited PTO
• Fireside chats with industry leading keynote speakers
• Off-sites in locales such as Napa and Tahoe
• Generous professional development budget to feed your curiosity
• Physical and Mental fitness subsidies for yoga, meditation, gym, or ski memberships