Reframe Systems is on a mission to build net-zero carbon housing for all, at massive scale. To achieve our mission, we need to make net-zero carbon housing more affordable and we are re-imagining how housing is designed and built. Our modular building platform and highly-automated production system will drive down cost, delivery time, and embodied carbon for ADUs and multifamily housing. We are setting up our first software driven factory in the greater Boston area (Andover, MA), and have a roadmap to scale our presence nationally. We are disrupting assembly line manufacturing for housing production and are backed by leading VC firms in the industrial and construction space.
We are seeking a Research Scientist with a specialization in the cross-section between Deep Learning/Large Language Models and the physical world. The ideal candidate should possess a strong background in research and development within the fields of machine vision, robotics, human interfaces, and/or real-world process optimization in manufacturing or fulfillment. Candidates should be eager to collaborate with a multi-disciplinary team of industry-veteran roboticists, architects and engineers to tackle hard-problems designing, prototyping, and testing a new class of manipulation workcells. This is a unique opportunity to shape the future of software defined automation for industrialized construction.
Design, develop, and maintain full-stack production models for manual augmented and robotics workcells. Lead implementation of algorithm developments in real-world applications spanning machine-vision and motion planning.
Take a leadership role in guiding the direction of research projects, making decisions on experimental design, data collection, and analysis. Stay abreast of the latest advancements in machine learning and language processing, incorporating new techniques and methodologies into our research and development processes.
Collaborate with cross-functional teams to integrate machine learning solutions into our products and services, ensuring seamless functionality and user experience.
Validate hypothesis through data-driven experimentation and prototyping. Document, summarize, and advocate findings to peers. Execute on new ideas, carrying them from proof-of-concept to operations.
Proficiency in programming languages commonly used in machine learning research, such as Python or TensorFlow. Experience with large language models, including but not limited to GPT-3, BERT, or similar architectures. Familiarity with deep learning frameworks and tools beyond the basic requirements.
Experience delivering the highest level of performance and reliability in a production environment. Experience creating tools to continuously aggregate data sets, manage retraining, etc.
Experience working in robotics and machine vision problems. Experience with OpenCV, PCL, and AI-based pipelines for feature detection, segmentation, etc.
Proficiency in professional engineering best practices; code reviews, code standards, source management, CI/CD, testing, and full software life cycle.
Strong communication skills, ability to work well in a team environment. Self-motivated and able to solve problems independently.
Proficiency using Git and operating in a Linux environment. Experience developing using Docker and cloud services (AWS) is a plus.
Preferred PhD in Computer Science, Computer Engineer, Math, or related STEM degree. Proven track record of impactful research in machine learning, demonstrated through publications, projects, or contributions to the field.
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At Reframe Systems, we're on an exciting journey to revolutionize housing through our commitment to net-zero carbon solutions, and we're looking for an Applied Scientist to join our team in Andover. In this role, you'll dive into the fascinating intersection of deep learning and the physical world, leveraging your expertise to push the boundaries of robotics and manufacturing. Your work will help shape innovative solutions to design and test new automation technologies in our first software-driven factory. As part of a dynamic team of seasoned roboticists, architects, and engineers, you’ll lead the design and development of production models for manual augmented and robotic workcells. This means you'll have the opportunity to implement cutting-edge algorithms in real-world applications, revolutionizing how we view industrial construction. Your passion for machine vision and real-world process optimization will be crucial as you stay ahead of the latest advancements in the field. You'll also guide research projects, ensuring data-driven decision-making is at the forefront and advocating findings to your peers. If you're self-motivated, possess strong communication skills, and thrive in a collaborative environment, Reframe Systems offers the perfect platform for you to grow and make a lasting impact. Join us in building a sustainable future, one innovative housing solution at a time!
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