Machine Learning Engineer
ICON is looking for a Machine Learning Engineer to join the BuildOS team. BuildOS is ICON’s software platform for residential construction. Our team is applying modern machine learning to the space of architectural design and construction for the homes of the future. This role reports to the Director of AI R&D and is based in our Austin, TX lab. All remote applicants will be required to travel to Austin occasionally for various team functions.
As a Machine Learning Engineer at ICON, you will have the opportunity to work with some of the world’s most talented architects and engineers. You will gain hands-on experience using the latest and greatest models to solve new problems. This role is a crucial part of defining how the next generation of housing will be built.
- Build generative AI tools to inspire and assist architects as they design homes.
- Build tools to radically decrease the cost and time needed to design beautiful homes.
- Build tools to let home buyers visualize, explore and choose their ideal home.
- Build digital design tools that take full advantage of 3D printing’s capabilities.
- Explore the use of ongoing AI research for all of ICON’s activities.
- Translate business problems into deployed production solutions in the AI space.
- Pursue patent applications for novel technologies.
- 3+ years delivering commercial products based on neural networks.
- Familiarity with popular image and text deep learning architectures.
- Bachelor’s degree in computer science, computer engineering, mathematics, or equivalent technical degree and industry experience.
PREFERRED SKILLS AND EXPERIENCE
- Advanced degree in mathematics, data science, or AI.
- Contributions or experience with generative neural networks (e.g. StyleGAN, GPT3, StableDiffusion, etc.)
- Experience with the full stack of training and deploying deep learning models.
- Experience with 3D printing and/or robotics.
- Background in art or architecture.
ICON is an equal opportunity employer and committed to fostering a diverse workforce. It is our policy to administer all personnel actions, including recruiting, hiring, training, and promoting employees, without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability, marital status, veteran status, or any other legally protected classification in accordance with applicable federal and state laws. Consistent with the obligations of these laws, ICON will make reasonable accommodations for qualified individuals with disabilities.
Furthermore, as a federal government contractor, the Company maintains an affirmative action program which furthers its commitment and complies with recordkeeping and reporting requirements under certain federal civil rights laws and regulations, including Executive Order 11246, Section 503 of the Rehabilitation Act of 1973 (as amended) and the Vietnam Era Veterans' Readjustment Assistance Act of 1974 (as amended).
As part of our compliance with these obligations, the Company invites you to voluntarily self-identify as set forth below. Provision of such information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your employment or subject you to any adverse treatment. Any and all information provided will be considered confidential, will be kept separate from your application and/or personnel file, and will only be used in accordance with applicable laws, orders and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement purposes.
ABOUT THE TEAM
Solving one of the most challenging problems humanity faces requires a level of diversity across disciplines. ICON believes that by being a non-homogenous organization, we can capture unique perspectives, educational backgrounds, and ideation. We strive to be inclusive and seek team members who share our passion for the mission within the mission: building robust and diverse teams to help us prevail in the face of our challenges.
We‘re a team of varied backgrounds, countries, and experiences, and we believe our differences make us stronger as we tackle some of the most challenging problems of our time.
Every startup wants to change the world, but we genuinely believe we’re not being hyperbolic when we say this technology has the potential to reinvent human shelter, dramatically improving quality and resiliency while driving down costs to make housing affordable for everyone. We believe in harnessing the power of construction technology for the good of all humanity, both here on Earth and off-world. And while we get excited about R&D accomplishments in the lab, we get more excited when we see our work out in the real world, printing real homes for real people.
We work hard because we know what we are doing can reshape the way we live as a species. And it doesn’t hurt that it’s super fun. Where else do you get to play with giant robots and see the results of your work manifest in beautiful full-scale buildings that didn’t exist before—and that someone can now call home?