Senior Machine Learning Scientist

Oxipital AI, Inc.; Bedford (MA); On-site; USD 140,000 - 180,000; Full time

Job summary

Oxipital AI, Inc. in Massachusetts is seeking a Senior Machine Learning Scientist to build and optimize our deep learning vision stack.

You will lead model design, training, and deployment for production‑grade computer vision solutions, collaborating with software engineers and cross‑functional teammates across the product lifecycle. This role calls for strong Python expertise, experience with PyTorch, Linux environments, and cloud pipelines (AWS).

Qualifications

• Bachelor's degree or equivalent in Computer Science, Computer Engineering, or related field; graduate degree preferred.
• 4 years of professional software development experience.
• Experience with deep neural networks for computer vision applications.
• Strong proficiency in Python and libraries like PyTorch, NumPy, or OpenCV.
• Experience with Linux environments, designing, prototyping, and evaluating ML features.
• Experience with researching and implementing cutting-edge ML techniques from academia.
• Knowledge of software development best practices such as issue tracking, static checks, and automated testing preferred.
• Experience with cloud infrastructure (AWS preferred) and CI/CD pipelines.
• Strong mathematical and analytical skills; excellent written and verbal communication.
• Ability to work independently and collaboratively on a cross-functional team.

Responsibilities

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

Skills

Python

Deep learning

Software development

Communication

Education

Bachelor's degree in CS/CE or related field

Graduate degree preferred

Tools

PyTorch

NumPy

OpenCV

Linux

AWS

CI/CD

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.

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.