Machine Learning Engineer for Advanced Manufacturing Artificial Intelligence Pay Competitive Employment type Full-Time Job Description Req#: 4284467005 About Re:Build Manufacturing Re:Build Manufacturing is a rapidly growing family of industrial businesses combining enabling technologies, operational superiority, and strategic M&A to build Americas next generation industrial company. At Re:Build we deploy deep expertise in operations management and technology to supercharge performance of our subsidiaries by implementing core technologies across industrial platforms in diverse growth markets. Our goal is to help revitalize the U.S. manufacturing base over the coming decades, creating substantial opportunities for our employees and the communities where we operate. We leverage deep professional expertise and a candid, principled operating culture to drive differentiated outcomes for our customers, our employees, our communities and our investors. Ours is a fast-paced environment where individuals can stretch and be challenged with a wide variety of opportunities and projects. We empower and support our employees to pursue their fullest potential and provide meaningful avenues for personal and professional growth. Who We Are Looking For The Machine Learning Engineer sits inside of a new start-up within our larger corporation and will be responsible for proposing, planning, executing, and analyzing research and development machine learning projects related to the field of advanced manufacturing artificial intelligence. In this role, the Machine Learning Engineer will work with a variety of data-driven technologies, including traditional and deep learning paradigms, such as large language models, to create and evaluate technology needed for new AI products. The work will require skill and technical competency in working with large, high-dimensional datasets with many different types of data, including text-based data, 3D data, and time-series data. The Machine Learning Engineer should have a combination of generalist machine learning skills and the ability to quickly develop specialist-level capabilities where needed. The role will demand both creativity and scientific rigor to complete high-quality experiments in a fast-paced environment combining science, invention, and commercial product development for new AI systems. What Youll Get To Do Work with Technology leadership to propose, plan and complete experiments that drive technology development to strategic initiatives. Write code to design and use a variety of data-driven technologies, including traditional and deep machine learning Create automation systems that process large and rich datasets of complex, multimodal, advanced manufacturing data Leverage cloud technologies to train machine learning constructs Write reports demonstrating degree of performance of new systems as measured in designed experiments Prepare R&D machine learning constructs for deployment in production cloud-based What you bring to the team Undergraduate degree in a technical field (such as engineering, computer science, math, science) Masters degree or higher in a technical field (such as engineering, computer science, math, or science) Graduate-level or industry research experience developing, testing, and using machine learning models Experience in statistics, traditional machine learning, and deep learning Experience with Large Language Model (LLM) technologies, including commercial LLM API use and training custom LLMs from scratch or from pre-trained models Experience in cloud-based computing technologies, such as elastic computing, serverless computing, relational and document-based databases, and remote graphics processing unit computing Experience in container-based technologies, such as Docker Experience in Git-based source code revision control 5+ years of experience in general computer programming Experience with Python Experience with a secondary programming language other than Python, such as C++ or C# Additional Details Location - Framingham, MA The BIG payoff We are a company who is going to make a difference in the industries and the communities in which we choose to operate. Every employee of Re:Build will share ownership in the company and will share in the financial rewards of the success we achieve together, at all levels of the company! We want to work with people that reflect the communities in which we operate Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason. Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275. About the company Explore some of our core competencies today! Product Innovation, Advanced Components, Systems Production, Industrial Automation Notice Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000. Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility. An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report . NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000. #J-18808-Ljbffr