Re: Build Manufacturing

The Machine Learning Engineer is 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.. The Machine Learning Engineer should have a combination of generalist machine learning skills, engineering analysis skills, and the ability to quickly develop specialist capabilities where needed.. Expert-level experience PyTorch, TensorFlow, or other major deep learning framework. Substantial experience with at least one major category of 3D data, such as CAD, CAM, graphics, 3D scanning, simulation of 3D physical phenomena, mechanical-interacting control system design and modeling.

machine learning engineer

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 America’s 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 is 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. The work will require skill and technical competency working with large, high-dimensional datasets containing 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, engineering analysis skills, and the ability to quickly develop specialist capabilities where needed. The role will demand both creativity and scientific rigor to execute high-quality experiments in a fast-paced environment combining science, invention, commercial product research for new AI systems. What You’ll Get to Do: <ul><li>Work with technology leadership to propose, plan, and execute experiments that drive technology development to strategic initiatives. </li><li>Design intelligent systems that make decisions related to advanced manufacturing problems. </li><li>Write code that implements intelligent constructs and facilitates rapid experimentation to study their performance. </li><li>Create automation systems that process large and rich datasets of complex and multimodal advanced manufacturing data. </li><li>Leverage cloud technologies to train machine learning constructs. </li><li>Write reports demonstrating the degree of performance of new systems as measured in designed experiments. </li><li>Prepare R&D machine learning constructs for deployment in production cloud-based systems. </li></ul>Minimum Qualifications: <ul><li>Expert-level experience PyTorch, TensorFlow, or other major deep learning framework</li><li>Undergraduate Degree in a technical field (such as engineering, computer science, math, or general sciences)</li><li>Master’s degree or higher in a technical field (such as engineering, computer science, math, or science)</li><li>5+ years combined work experience beyond undergraduate studies and research (full-time employment in industry, co-op employment in industry, full-time graduate research, or post-graduate research positions, such as post-doctoral positions). </li><li>High proficiency and 5+ years hands-on experience programming Python</li><li>High proficiency and hands-on experience programming in C/C++</li><li>High proficiency and hands-on experience in at least one additional general-purpose programming language (such as C#, Java, etc.)</li><li>Experienced at using, analyzing, designing, and optimizing supervised, unsupervised, and reinforcement learning-based models</li><li>Demonstratable experience with a reinforcement learning-based project</li><li>Substantial experience in a substantial engineering or manufacturing position or project with a major physical component (such as design engineering, hands-on fabrication experience, process engineering, robotics</li><li>Substantial experience with at least one major category of 3D data, such as CAD, CAM, graphics, 3D scanning, simulation of 3D physical phenomena, mechanical-interacting control system design and modeling. </li><li>Proficiency using both Linux and Windows operating systems</li><li>Proficiency with git-based source code revision control</li><li>Experience in cloud computing technologies, such as elastic computing, serverless computing, relational and document-based databases, and remote GPU computing </li></ul>Desirable Qualifications: <ul><li>Mechanically-focused background (such as mechanical engineering, physics, design engineering, or experience in a machine-shop/factory)</li><li>Power-user-level experience with Computer-Aided Design (CAD) or Computer-Aided Manufacturing (CAM) software</li><li>Experience with simulation of complex physical phenomena, such as structural, fluidic, and electromagnetic phenomena</li><li>Experience with container-based technologies such as Docker</li><li>Experience with programming CUDA or similar platforms (such as OpenCL)</li><li>Experience proposing, executing, writing, and publishing long-form research projects with substantial deliverables, such as Masters/Ph.D. Thesis or industrial technical projects. </li><li>Experience executing experiments</li><li>Experiences with statistics</li><li>Strength in geometry and linear algebra</li><li>Experience with software, hardware, design, and/or analysis of machinery, such as automated industrial machines, robots, and vehicles. </li></ul>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.

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