Machine Learning Engineer (CV + LLM)

mbue (Headquarters: Austin, TX (Hybrid))

Python PyTorch OpenCV Transformers ViTs CNNs LLMs AI Engineer Data Science

About mbue: mbue is an AI-first startup revolutionizing the construction industry by helping commercial contractors and subcontractors catch costly mistakes in architectural drawings before they're built. Our innovative Smart Overlays technology goes beyond traditional tools like Bluebeam by leveraging computer vision and large language models (LLMs) to detect subtle, scope-impacting changes in drawings. We are backed by top investors and growing fast. Now we're hiring Machine Learning Engineers to build, ship, and own production models end-to-end.

About The Role: We are seeking a Machine Learning Engineer to join our team and play a key role in driving the technical strategy, execution, and leadership of projects focused on computer vision and LLM applications in construction. This is an exciting opportunity to significantly impact the scalability, reliability, and operational excellence of our AI infrastructure, while also mentoring and guiding the team.

What You'll Do / Responsibilities: Invent: Lead the design and development of systems that optimize the analysis of architectural drawings. Drive architectural decisions for high-impact projects, ensuring scalability and reliability. Co-author long-term technical roadmaps that set the vision for AI and ML scalability, performance, and engineering velocity. Set the standard for a culture of engineering and operational excellence. Own: Build and nurture effective partnerships across engineering, product, and security teams to align on AI infrastructure goals. Lead and conduct design reviews for critical projects with a focus on system-level tradeoffs and AI scalability. Drive the design and implementation of “secure by default” AI systems in collaboration with security teams. Act as a key stakeholder by engaging with customers and internal teams to understand business requirements and deliver innovative solutions. Learn: Deeply understand how to leverage mbue's software to build and scale AI infrastructure. Gather insights into customer needs and incorporate them into technical decision-making for vision and language strategies. Stay at the forefront of technology advancements in vision and language models. Collaborate: Mentor and guide engineers, sharing best practices and design principles for building reliable and scalable AI systems.

What You'll Bring / Requirements / Qualifications: Proven experience leading complex engineering efforts focused on computer vision and LLMs. Exceptional collaboration and communication skills, with a demonstrated ability to align stakeholders and lead cross-functional teams. A track record of contributing to long-term technical roadmaps and making thoughtful system-level tradeoffs. At least 3+ years of coding experience in Python, with strong expertise in writing concurrent and distributed code. Extensive experience designing and building distributed systems, leveraging concurrency primitives, and optimizing AI performance. Deep expertise in computer vision and LLM systems, with familiarity across adjacent infrastructure domains. Hands-on experience with cloud providers such as AWS, GCP, or Azure, and the ability to optimize cost, performance, and scalability. A strong sense of ownership and the ability to balance short-term priorities with long-term strategic goals.

Compensation: The estimated pay range for this role is not explicitly mentioned, but it is competitive and includes equity.