MLabs
Overview
We\'re an AI-native company leveraging AI to automate complex back-office workflows and tasks in the freight industry. Our mission is to unlock profits and lower costs by addressing bad data and inefficient workflows in the supply chain. We\'re expanding our AI team and are looking for a talented
AI Engineer
to build both AI models and features that directly impact our business. The role is broad, offering the opportunity to work on everything from training and deploying in-house multimodal Large Language Models (LLMs) to scaling our inference infrastructure and building AI agent workflows. What You\'ll Work On
Your primary focus will be on
document extraction and understanding , using multimodal LLMs to extract, normalize, and link data with a high degree of accuracy. You\'ll also work on scaling our machine learning platform to handle significant increases in training and inference volume. Future projects will include expanding our AI capabilities into workflow automation and audit using AI agents. Responsibilities
ML modeling: Training, evaluating, and deploying models ML infrastructure: Scaling data infrastructure and improving the reliability of our ML systems AI engineering: Orchestrating API LLM models to solve business problems Backend engineering: Building atomic tasks and general backend work in the automation domain Qualifications
1-3 years of experience with deep learning frameworks (e.g., PyTorch, TensorFlow) Open to recent graduates with a Computer Science degree from a top university This is a hybrid role based in our San Francisco office, with the expectation of being in the office 3-5 days per week Benefits
Salary: $130k - $200k Visa sponsorship is not mentioned as available Commitment to Equality and Accessibility
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd\'s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
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We\'re an AI-native company leveraging AI to automate complex back-office workflows and tasks in the freight industry. Our mission is to unlock profits and lower costs by addressing bad data and inefficient workflows in the supply chain. We\'re expanding our AI team and are looking for a talented
AI Engineer
to build both AI models and features that directly impact our business. The role is broad, offering the opportunity to work on everything from training and deploying in-house multimodal Large Language Models (LLMs) to scaling our inference infrastructure and building AI agent workflows. What You\'ll Work On
Your primary focus will be on
document extraction and understanding , using multimodal LLMs to extract, normalize, and link data with a high degree of accuracy. You\'ll also work on scaling our machine learning platform to handle significant increases in training and inference volume. Future projects will include expanding our AI capabilities into workflow automation and audit using AI agents. Responsibilities
ML modeling: Training, evaluating, and deploying models ML infrastructure: Scaling data infrastructure and improving the reliability of our ML systems AI engineering: Orchestrating API LLM models to solve business problems Backend engineering: Building atomic tasks and general backend work in the automation domain Qualifications
1-3 years of experience with deep learning frameworks (e.g., PyTorch, TensorFlow) Open to recent graduates with a Computer Science degree from a top university This is a hybrid role based in our San Francisco office, with the expectation of being in the office 3-5 days per week Benefits
Salary: $130k - $200k Visa sponsorship is not mentioned as available Commitment to Equality and Accessibility
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd\'s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
#J-18808-Ljbffr