Machine Learning Engineer — United States — LinkedIn — 4488824202

About The Company

BILT Inc. is a fast-growing software-as-a-service company transforming how consumers and professional technicians learn to assemble, install, maintain, program, and repair products. The company creates official 3D Intelligent Instructions for thousands of products from hundreds of innovative brands. Available through a free mobile app, BILT’s interactive instructions let users explore animations on a touchscreen and follow clear, engaging guidance at their own pace.

BILT’s mission is to create experiences so enabling and empowering that users become promoters of the brands the company serves. Its award-winning platform supports interactive content for iOS and Android, as well as guided work instructions for visionOS. By combining accessibility, efficiency, and engaging spatial content, BILT is advancing both the do-it-yourself experience and professional training and operational enablement. The company’s Global Brand Support Center is located in Grapevine, Texas, between DFW Airport and Southlake Town Square.

About The Role

BILT is building the future of spatial instruction by applying artificial intelligence and spatial computing to the way people learn about and work with the physical world. Its distinctive collection of rich 3D instructional content creates opportunities to advance multimodal understanding and generation. As Principal Machine Learning Engineer, you will be a foundational technical leader on the AI team and help define the systems, architecture, and engineering practices that support this work.

This is a research-oriented engineering role for someone who is comfortable addressing open-ended problems without established playbooks. You will investigate emerging approaches, explore novel architectures, and take promising ideas from early experimentation through production deployment. Working at the intersection of language, vision, and spatial understanding, you will partner with the Director of AI, the CTO, and fellow engineers to shape the technical strategy and roadmap.

Qualifications

Applicants should have at least eight years of machine learning experience and a record of delivering complex systems to production. Deep knowledge of modern deep learning frameworks is required, with PyTorch strongly preferred. Candidates should understand the architectures behind large language models, multimodal models, or related technologies and be able to adapt or extend them beyond routine fine-tuning.

Strong software engineering fundamentals are essential, including the ability to write clean, maintainable, production-quality code. You should be comfortable reading research papers, prototyping new approaches, and navigating problems with no obvious solution. The role requires sound technical judgment, autonomy, clear communication, and the ability to move projects from ambiguous problem statements to working systems.

Experience with vision-language models, vision-language-action architectures, embodied AI, 3D understanding, CAD, spatial reasoning, computer graphics, or geometric deep learning is an advantage. Familiarity with model optimization, efficient inference, and deployment at scale is also valued. Publications, open-source contributions, demonstrated research impact, or experience as a technical lead or foundational engineer at a high-growth startup are desirable.

Responsibilities

Serve as the AI team’s technical anchor by guiding architectural decisions and promoting high standards of engineering excellence. Identify and solve research-oriented machine learning challenges, leading work from initial exploration through reliable production deployment. Design and build systems for multimodal understanding, generation, and spatial reasoning, adapting foundation models to BILT’s domain and data.

Develop and maintain training pipelines, evaluation frameworks, and model-serving infrastructure. Establish robust methods for measuring model quality and system performance, and use those findings to guide iteration. Provide technical mentorship through design discussions, code reviews, and knowledge sharing. Collaborate closely with the Director of AI and CTO on technical direction, project priorities, and the team’s roadmap. Monitor developments in AI and assess opportunities to apply relevant techniques to BILT’s products.

Benefits

This is a direct-hire, exempt position based at BILT’s Global Brand Support Center in Grapevine, Texas. The regular schedule is Monday through Friday, 8:30 a.m. to 5:30 p.m., with convenient parking and nearby amenities. The role offers the opportunity to help shape an emerging AI team and build technology at the intersection of machine learning, 3D content, and spatial computing. Work involves standard office equipment and prolonged computer use; occasional lifting of up to 25 pounds may be required. Specific compensation and benefit details can be discussed during the hiring process.

Equal Opportunity

BILT Inc. is a veteran-friendly company and an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability, or any other status protected by applicable law. BILT does not accept unsolicited agency resumes and is not responsible for fees associated with unsolicited submissions.