Senior Machine Learning Engineer (Computer Vision & NLP)

About PackageX

PackageX automates data entry and manual logistics processes for receiving, inventory, and fulfilment in buildings, warehouses, and stores. It uses advanced AI scanning, flexible bolt-on apps, and APIs to drive exceptional workforce productivity, fulfilment efficiency, and real-time visibility. Our vision is to build the most advanced logistics infrastructure company that orchestrates the movement of physical things and becomes the defining backbone of the digital supply chain. We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.

About the Role

We are looking for a passionate and experienced Machine Learning Engineer with a strong background in Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs) to join our growing AI team. The ideal candidate is someone who stays up to date with the rapidly evolving ML ecosystem, has hands-on experience solving real-world problems, and can take ownership of end-to-end ML solutions — from research to deployment.

Key Responsibilities

• Design, build, and deploy machine learning models, particularly in the areas of computer vision and NLP
• Develop and fine-tune large language models (LLMs) for specialized use cases
• Translate business and product challenges into ML solutions
• Collaborate closely with product, design, and engineering teams to integrate ML models into real-world applications
• Research and implement state-of-the-art techniques while staying ahead of emerging trends in ML and AI
• Optimize ML models for deployment on mobile and edge devices (Android / iOS)
• Analyze and improve model performance through rigorous testing and evaluation
• Document findings, contribute to knowledge sharing, and mentor junior engineers if needed.

Required Skills & Qualifications

Nice to have skills

Application process

All applications will be looked at by the People team who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit for each other. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.

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