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.

Requirements

Must-haves

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.
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.
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.

Nice-to-haves

Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or related technical field; graduate degree preferred.
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.

Application prep

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Keywords to mirror

aimachine learningpythonawsci/cd

Platform: bamboohr
Effort: medium

Benefits

Benefits detected in the listing.

Vision