Job Description

Do you want to work with a Series B AI-powered company focused on cost savings for modern logistics? At Aimhire.io we are the exclusive recruiting partner to our client and we are hiring urgently

What you will work on

Our primary focus has been on document extraction and understanding, where we utilize multimodal LLMs 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.
• ML infrastructure – scaling data infrastructure, training, or inference, improving reliability of ML systems at Loop.
• 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:

• Scaling up throughput of Loop’s inference engine through continuous batching.
• Developing ways to fine-tuning multimodal LLMs to reduce hallucinations.
• Build out agents that audits freight invoices.

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