United States onlyIntegrated Projects is a rapidly growing leader in the Scan to BIM industry. We transform LiDAR laser scan data into comprehensive building information models, working with a wide range of clients and industries. We're passionate about automation and using cutting-edge technology to revolutionize the building design and construction process. Our team is currently processing about 6 buildings per day, and we're only getting started!
What you will do:
We're seeking a talented Machine Learning Scientist/Engineer to join our innovation-driven team. You'll play a pivotal role in automating our Scan to BIM workflow, using your expertise to develop and implement advanced machine learning algorithms and pipelines. This is a unique opportunity to work on real-world challenges with significant impact in the built environment.
The Team You'll Join:
You'll be joining a diverse and innovative team at Integrated Projects, comprising individuals passionate about transforming the built environment through digitization. Our team consists of cross-functional professionals all working collaboratively to ensure successful product launches. We pride ourselves on our supportive and inclusive culture that values continuous learning and development, with each member contributing unique skills and perspectives to solve complex problems and deliver high-quality software products.
Requirements
Key job Responsibilities:
- Research & Development: Lead the exploration and implementation of machine learning techniques for automating Scan to BIM processes, with a focus on object detection, semantic segmentation, and 3D scene understanding.
- Algorithm Design: Design and develop novel machine learning models and algorithms to extract meaningful information from LiDAR point cloud data, leveraging state-of-the-art research like the SceneScript approach.
- Pipeline Implementation: Build and deploy end-to-end machine learning pipelines, from data preprocessing and feature engineering to model training, evaluation, and deployment.
- Data Curation: Design and implement strategies for collecting, annotating, and maintaining high-quality training datasets for various Scan to BIM tasks.
- Collaboration: Work closely with software engineers, BIM specialists, and project managers to integrate machine learning solutions into our existing workflows.
Basic Qualifications:
- Advanced Degree: M.Sc. or Ph.D. in Computer Science, Machine Learning, Robotics, or a related field.
- Experience: Proven track record in applying machine learning to 3D data processing, particularly in the context of Scan to BIM or similar domains.
- Skills: Strong proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow), as well as experience with point cloud processing libraries and tools. Experience with cloud services (e.g AWS) is also beneficial.
- Knowledge: Familiarity with building information modeling concepts, classification schemas, and commercial modeling tool APIs (e.g., Revit API, IFC schema) is a plus.
- Passion: Eagerness to stay at the forefront of machine learning research and a drive to solve challenging problems in the real world..
Bonus Points:
- Hands-on experience with the SceneScript approach or similar language-based scene representations.
- Contributions to open-source projects related to machine learning or 3D data processing.
- Publications in top-tier conferences or journals in the field of machine learning.
Why Join Us:
- Impact: Make a tangible difference in the AEC industry by developing solutions that streamline workflows and improve project outcomes.
- Innovation: Work on cutting-edge projects with access to the latest technologies and research.
- Growth: Learn and grow alongside a team of passionate experts in a collaborative and supportive environment.
- Competitive Compensation: We offer a comprehensive benefits package and a salary commensurate with experience and qualifications.
Your Location:
This position is remote, offering you the flexibility to work from any location.
Our Pledge to Diversity and Inclusivity:
At Integrated Projects, we strive to engage with the most comprehensive range of talent available. We recognize that diverse perspectives spark innovation and collaboration, enabling us to attract creative minds and foster the development of superior products, services, and solutions. We warmly welcome applications from all qualified individuals.
Benefits
Integrated Projects is committed to offering competitive and fair compensation for a company at our stage, and has provided an estimated pay range for this role. Actual compensation will be based on a candidate’s job-related skills, experience, education or training, and location.
Compensation is structured in three primary methods: annual salary, equity, and discretionary bonus compensation.
Compensation Breakdown
- Base Annual Salary Compensation: $60,000 to $120,000. This range may vary based on the specific work location. For those located within the San Francisco Bay Area and New York City Metropolitan Area, the salary range is $90,000 to $150,000.
- Eligible Equity Compensation: 0.05-0.25% with a four-year vesting schedule, based on a $15 Million Series Seed valuation.
- Eligible for Discretionary Bonus Compensation.
Other Benefits
- Healthcare, unlimited PTO, professional development opportunities.
Operating Principles
Read our perspective here: Buildings V. The World
We’ve built a culture of long-term builders.
Till recently, Integrated Projects has differentiated itself from the market by focusing on sustainable, profitable growth—during a time of uncertainty, easy venture money, and wasteful spending. We’ve been obsessive about building for the long-term, while staying practical and creating value for building owners and design professionals today. If successful, digitizing and decarbonizing the built environment will likely not be accomplished within our lifetime—and yet, we’re focused on advancing it.
Here’s our basic operating principles that we expect you to exemplify:
- Partnerships, not projects: To solve the largest challenges we face with the built environment, it’s going to take an integrated, ‘all hands on deck’ approach. This means fostering a culture of connection, inclusiveness, and ‘dot-connectors’. Don’t be isolationists within an already fragmented industry.
- Show, don’t tell: There’s no shortage of ideas. But communicating how these ideas materialize and develop within a broader ecosystem is hard. Always take bias for showing, demoing, building, and writing—and be impatient keeping ideas to just talk.
- Simple, not simplistic: It’s easy to complicate, it’s hard to simplify.
- Be an owner, not a manager: Managers work for control, owners work for economics and growth. Run projects like you’re an owner.
- Be kind: We’re all just trying to figure this out.
