As the first Principal Machine Learning Engineer at mbue, you will spearhead the design, development, and implementation of advanced AI technology, including overseeing research, development, and training of advanced models. You will collaborate closely with the CTO and CEO to ensure alignment with the product roadmap and achievement of milestones, mentor junior ML 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: proven ability to lead and mentor junior ML engineers3) Communication Skills: collaborative team player who can communicate effectively and inspire diverse thoughtHere’s what you’ll be doing:- Lead research and development to tackle the 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 prioritizing 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 cloud platforms (AWS, Azure, or GCP)- Ability to communicate complex technical concepts to non-technical stakeholders- Strong problem-solving abilities and passion for cutting-edge ML/AI- Degree in Computer Science, Statistics, Machine Learning, or related field (advanced degrees desirable)What’s in it for you:- Opportunity to build cutting-edge AI transforming the architectural industry- Significant leadership and mentorship growth; large role in shaping the company- Full-time remote position (Austin, TX or New York is a plus)- Competitive salary and equity grant- High-trust, high-impact environment