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Benefits:

• Full-time remote position

• Competitive salary and benefits

• Company stock grant

Education Requirements:

• A degree in Computer Science, Statistics, Machine Learning, or a related field. Advanced degrees are highly desirable

Experience Requirements:

• Extensive knowledge of and hands-on experience with computer vision and deep learning techniques

• Proven ability to lead and mentor junior ML engineers to bring leading-edge technology to market

• Extensive experience developing, deploying, and maintaining production-grade machine learning solutions

• Demonstrated experience in early-stage startups with mentoring and growing successful teams

• Proven experience in early-stage startup environments, thriving in dynamic and collaborative settings, while building from the ground up

Other Requirements:

• Strong hands-on coding skills with Python and PyTorch

• Proficiency in end-to-end model development, validation, and deployment

• Understanding of ML deployment architectures and experience with cloud platforms like AWS, Azure, or GCP

• Exceptional ability to communicate complex technical concepts to non-technical stakeholders

• Strong problem-solving abilities, with a passion for staying on the cutting edge of Machine Learning and AI technologies

Responsibilities:

• Leading the research and development efforts to tackle our toughest problems

• Establishing our overall training and evaluation pipeline for new solutions

• Finding incremental solutions to quickly address issues we see with the models in production

• Hands on experimentation with new approaches that will empower for our next generation of capabilities

• Strategic planning with CTO and CEO