As the first Principal Machine Learning Engineer at mbue, you will spearhead the design, development, and implementation of advanced AI technology. This includes overseeing the research, development, and training of advanced models. You will collaborate closely with the CTO and CEO to ensure alignment with the product roadmap and target milestones, mentor junior machine learning engineers, and help build an amazing team.Must demonstrate professional experience and proficiency in:1) Computer Vision and Deep Learning Expertise: Extensive knowledge and hands-on experience2) Strong Leadership Skills: Lead and mentor junior ML engineers to bring leading-edge technology to market3) Communication Skills: Collaborative, open-minded, able to communicate effectively and inspire diverse thoughtHere’s what you’ll be doing:- Lead R&D efforts to tackle our toughest problems- Establish training and evaluation pipelines for new solutions- Find incremental solutions to address issues with models in production- Hands-on experimentation with new approaches for next-generation capabilities- Strategic planning with CTO and CEO- Run experiments in an environment that prioritizes knowledge-sharing, inclusivity, and trust- Coordinate with junior ML engineers and software engineersWhat we’re looking for:- Strong hands-on coding skills with Python and PyTorch- Extensive experience developing, deploying, and maintaining production-grade ML solutions- Demonstrated experience in early-stage startups with mentoring and growing teams- Proficiency in end-to-end model development, validation, and deployment- Understanding of ML deployment architectures and experience with AWS, Azure, or GCP- Exceptional ability to communicate complex technical concepts to non-technical stakeholders- Strong problem-solving abilities; passion for cutting-edge ML/AI- Degree in CS, Statistics, ML, or related field; advanced degrees highly desirableWhat’s in it for you:- Work on cutting-edge AI revolutionizing the architectural industry- Leadership and mentorship growth opportunities- Full-time remote position (big plus if you’re based in Austin, TX or New York)- Competitive salary and equity grant- High-trust, high-impact environment