{"id":1294016,"url":"https://alion.io/job/oxipital-ai-senior-machine-learning-scientist","title":"Senior Machine Learning Scientist","company":{"id":2083172,"name":"Oxipital AI","domain":"oxipitalai.com","url":"https://alion.io/company/oxipitalai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bedford, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":131000,"max_usd":251000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1268},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-25T18:52:44Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"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 Scientistto 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.\nThe 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.\nPrimary Responsibilities:\nExpand the capabilities of our machine learning model architectures with new capabilities and performance-improving features.\nOptimize the efficiency of our machine learning models at training and inference time.\nDesign, develop, and maintain tools and infrastructure for training, deploying, and evaluating vision-based machine learning models.\nResearch cutting-edge machine learning techniques in the literature and propose methods to integrate them into our stack.\nContribute to a robust and scalable product pipeline.\nRequirements:\nBachelor's degree or equivalent experience in Computer Science, Computer Engineering, or related technical field; graduate degree preferred.\n4 years of professional software development experience.\nExperience with deep neural networks for computer vision applications.\nStrong proficiency in Python, particularly with libraries like PyTorch, NumPy, or OpenCV.\nExperience with software development and deployment in a Linux environment.\nThe ability to design, prototype, and evaluate new features in our machine learning models.\nExperience with researching, implementing, and improving upon cutting-edge machine learning technology from academia.\nA solid foundation of software development best practices such as issue tracking, static code checking, and automated testing preferred.\nExperience with cloud infrastructure (AWS preferred) and CI/CD pipelines.\nStrong mathematical and analytical skills.\nExcellent written and verbal communication skills.\nAbility to work both independently and collaboratively on a cross-functional team.\nStrong attention to 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