Machine Learning Engineer – Algorithm, Computer Vision and Generative AI
United States - Remote
Position Type: Full Time
Location: Remote
Salary Range / Rate (Currency): : $170,000 - $220,000 per year
Job ID#: #148994
About :
An innovative leader in AI-powered construction technology, is redefining efficiency in engineering and real estate development. Leveraging cutting-edge generative design tools, the company helps engineers and developers produce optimal construction-ready layouts that save time and reduce costs. With recent funding from top-tier venture capital, Company is well-positioned to scale its impact across North America and beyond.
Role Overview:
We are looking for an Algorithm Engineer specializing in computer vision and generative AI to advance the capabilities of the company’s design software. This role focuses on developing and refining computer vision algorithms to support 3D modeling and data automation. The ideal candidate will have a strong foundation in computer vision, experience with generative models, and a passion for applying AI to construction engineering.
Key Responsibilities:
- Algorithm Development: Design and implement state-of-the-art computer vision algorithms for structural analysis and 3D modeling.
- Research & Innovation: Develop models like GANs, VAEs, and diffusion models, and explore synthetic data applications to enhance generative design capabilities.
- Collaborative Implementation: Work closely with cross-functional teams to integrate and optimize algorithms, maintaining product quality and performance.
- Thought Leadership: Publish findings in leading journals (e.g., CVPR, ICCV), contribute to the CV community, and help shape the future of AI in construction.
Qualifications:
- Education: Ph.D. in Computer Vision, Machine Learning, or a related field preferred (1-2 years of experience); master’s candidates with 3-5 years of relevant experience will also be considered.
- Experience: Proven background in computer vision projects, ideally with publications in conferences or journals.
- Skills: Expertise in GANs, VAEs, 3D vision, synthetic data, and automated data annotation.
- Mindset: Detail-oriented, solution-driven, and passionate about the construction industry; experience in startups is a plus.
Benefits:
- Competitive salary with bonuses, full healthcare coverage, and an opportunity to work on impactful AI innovations.
- Fully remote work flexibility, with a collaborative team culture across multiple countries.
About Us:
Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue leading global talent solutions.
IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.
ApplyJob Profile
Fully remote
Benefits/PerksBonuses Collaborative culture Competitive salary Flexibility Full healthcare coverage Fully remote Remote work Remote work flexibility
Tasks- Collaborate with teams
- Develop algorithms
- Publish findings
- Research models
3D modeling 3D vision Automated data annotation Computer Vision Flexibility GANS Generative AI Generative design Innovation Leadership Machine Learning Research Synthetic data Talent Acquisition VAEs
Experience3 - 5 years
EducationEngineering Master's Ph.D. Related Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9