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Applied Scientist

About Us

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.

What We're Looking For

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.

Responsibilities

  • 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.

Basic Qualifications

  • 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.

Bonus

  • 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.

Average salary estimate

$125000 / YEARLY (est.)
min
max
$100000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Applied Scientist, Reframe Systems

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!

Frequently Asked Questions (FAQs) for Applied Scientist Role at Reframe Systems
What are the responsibilities of an Applied Scientist at Reframe Systems?

The role of an Applied Scientist at Reframe Systems involves designing, developing, and maintaining production models for augmented manual and robotic workcells. You’ll be tasked with leading algorithm implementation in real-world applications, collaborating with cross-functional teams while managing experimental design, data collection, and analysis to ensure reliability across our systems.

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What qualifications are required for the Applied Scientist position at Reframe Systems?

To be considered for the Applied Scientist role at Reframe Systems, candidates should have a strong proficiency in programming languages such as Python or TensorFlow. Experience with large language models like GPT-3 is essential, along with familiarity in robotics and machine vision. A PhD in a relevant field and a proven track record in impactful research will further enhance your candidacy.

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What skills do I need to succeed as an Applied Scientist at Reframe Systems?

Success as an Applied Scientist at Reframe Systems requires a combination of technical skills, including proficiency in deep learning frameworks and tools, as well as strong communication abilities for effective collaboration. Experience in professional engineering practices and self-motivation to solve complex problems independently is also vital.

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How does the Applied Scientist role at Reframe Systems contribute to net-zero carbon housing?

As an Applied Scientist at Reframe Systems, your work directly contributes to net-zero carbon housing by developing automation technologies that drive down costs and environmental impact. By leveraging machine learning and robotics, you will help innovate new building processes that support our mission of affordable sustainable housing.

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What collaborative opportunities exist for Applied Scientists at Reframe Systems?

In the Applied Scientist role at Reframe Systems, you will have extensive opportunities for collaboration with a multi-disciplinary team including roboticists, architects, and engineers. This team approach not only enhances the innovation process but also allows you to influence various projects that integrate machine learning into our industrial construction practices.

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Common Interview Questions for Applied Scientist
Can you describe your experience with machine learning frameworks relevant to the Applied Scientist role?

In your answer, focus on your hands-on experience with frameworks like TensorFlow or PyTorch. Highlight specific projects where you implemented machine learning algorithms and discuss the outcomes, demonstrating your ability to apply theory to practical scenarios.

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How do you approach the design and development of production models for robotic systems?

Discuss your methodology for creating production models, emphasizing the importance of understanding the problem space, iterative prototyping, and implementing feedback loops during the development process. Provide examples of how you've previously managed similar projects successfully.

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What strategies do you use for data-driven experimentation and hypothesis validation?

Share your experience with establishing experimental designs, focusing on how you ensure data quality and control variables. Mention methods you've used for hypothesis testing and any tools that assist in collecting and analyzing data.

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Can you give an example of how you’ve worked in a cross-functional team?

Use a specific example that showcases your collaborative efforts with a diverse team. Highlight your role, what challenges were faced, and how your combined expertise led to successfully reaching project objectives.

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How do you stay current with advancements in machine learning and robotics?

Describe your ongoing learning strategies, such as online courses, attending conferences, or engaging with academic publications. Provide examples of how you've applied new learning to enhance your work or influence your team.

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What are some challenges you've encountered in robotics and how did you resolve them?

Share a specific challenge related to robotics that required innovative thinking. Describe the situation, your approach to troubleshooting, and the outcome, demonstrating your problem-solving skills in a practical context.

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Can you explain your experience with large language models and their applications?

Discuss your familiarity with large language models, including example projects where you’ve implemented them. Warmly explain their potential impact on areas related to manufacturing, automation, or user interaction, aligning with the goals of Reframe Systems.

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What role does documentation play in your research projects?

Emphasize the significance of thorough documentation in maintaining transparency, reproducibility, and knowledge sharing. Provide examples where meticulous documentation has played a crucial role in project success or aiding team members.

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How do you prioritize tasks when managing multiple projects?

Talk about your methodology for prioritization, whether it's through matrix systems or Agile practices. Mention how you assess project impact versus urgency and share any tools that assist you in task management.

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What unique contributions can you bring to the Applied Scientist position at Reframe Systems?

Highlight your unique skills, experiences, or perspectives that could benefit Reframe Systems. Consider discussing your passion for innovation in sustainable construction and how your background might provide fresh ideas to the team.

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MATCH
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TEAM SIZE
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LOCATION
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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 15, 2024

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