Senior Machine Learning Scientist

Oxipital AI; Bedford (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Oxipital AI is seeking a Senior Machine Learning Scientist to build and maintain our cutting-edge ML pipeline and the tools that support it. You’ll focus on deep neural network architectures, model training, and inference-time optimization, collaborating with a small team of ML scientists, engineers, and model specialists within our cross-functional organization.

The ideal candidate has 4 years of professional experience in ML software products, hands-on in vision-based deep learning, edge

Qualifications

• 4 years of professional software development experience.
• Experience with deep neural networks for computer vision.
• Strong Python proficiency with libraries (PyTorch, NumPy, OpenCV).
• Experience with Linux-based development and deployment.

Responsibilities

• Expand ML model architectures with new capabilities and performance features.
• Optimize training and inference efficiency of ML models.
• Develop and maintain tooling for training, deploying, and evaluating vision-based models.
• Research cutting-edge ML techniques and integrate into the stack.
• Contribute to a robust and scalable product pipeline.

Skills

Python

PyTorch

NumPy

OpenCV

Deep learning / vision

Linux

Cloud infrastructure

CI/CD pipelines

Mathematics

Communication skills

Education

Bachelor's degree in CS/CE or related

Graduate degree preferred

Tools

Docker

Git

Jenkins

AWS CLI/SDK

Job description

Oxipital AI is on a mission to revolutionize the manufacturing industry with its cutting-edge AI-enabled machine vision solutions. These solutions drive greater resilience, operational efficiency, and sustainability in the most complex and critical manufacturing processes. As a fast-growing company striving to make a difference every day, we are seeking a Senior Machine Learning Scientist to help build and maintain our cutting-edge machine learning pipeline and the critical tools and infrastructure that support it. This role entails a particular focus on deep neural network architectures, model training, and inference-time optimization. You will work on a variety of customer-focused projects throughout the product development life cycle, from initial proofs of concept through robust production-ready implementations. You’ll work in a small group of machine learning scientists, engineers, and model specialists, collaborating with the software team and others in our cross-functional organization.

The ideal candidate will have 4 years of professional experience designing and implementing machine-learning-centric software products in a fast-paced production environment. We are looking for hands-on work experience in several of the following areas: vision-based deep learning, neural network architecture design, edge deployment, foundation model adaptation, traditional computer vision, 3D graphics and simulation, robotics, and MLOps.

Primary Responsibilities:

• Expand the capabilities of our machine learning model architectures with new capabilities and performance-improving features.
• Optimize the efficiency of our machine learning models at training and inference time.
• Design, develop, and maintain tools and infrastructure for training, deploying, and evaluating vision-based machine learning models.
• Research cutting-edge machine learning techniques in the literature and propose methods to integrate them into our stack.
• Contribute to a robust and scalable product pipeline.

Requirements:

• Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or related technical field; graduate degree preferred.
• 4 years of professional software development experience.
• Experience with deep neural networks for computer vision applications.
• Strong proficiency in Python, particularly with libraries like PyTorch, NumPy, or OpenCV.
• Experience with software development and deployment in a Linux environment.
• The ability to design, prototype, and evaluate new features in our machine learning models.
• Experience with researching, implementing, and improving upon cutting-edge machine learning technology from academia.
• A solid foundation of software development best practices such as issue tracking, static code checking, and automated testing preferred.
• Experience with cloud infrastructure (AWS preferred) and CI/CD pipelines.
• Strong mathematical and analytical skills.
• Excellent written and verbal communication skills.
• Ability to work both independently and collaboratively on a cross-functional team.
• Strong attention to detail.