Deep Learning Engineer

About Matroid: Matroid brings cutting-edge computer vision to visual inspection, empowering businesses with a “no programming required” product. We’re a rapidly growing Series B funded startup with customers in manufacturing and video security industries, seeking top engineers who thrive on solving hard problems in computer vision and productizing real-world AI solutions.

Role Overview: As a Deep Learning Engineer, you’ll join our world-class team working at the intersection of AI, computer vision, and industrial applications. You’ll design, implement, and deploy deep learning models that power our visual inspection platform, collaborating with cross-functional teams to solve challenging problems in manufacturing and security domains.

Key Responsibilities:

• Design, build, and deploy production-scale deep learning models for computer vision applications
• Collaborate with domain experts to translate business requirements into technical solutions
• Optimize neural network architectures for performance, accuracy, and efficiency
• Develop data pipelines and preprocessing techniques for computer vision tasks
• Conduct research on cutting-edge deep learning techniques and apply them to real-world problems
• Mentor junior engineers and contribute to technical strategy

Required Skills & Qualifications:

• Proven experience in deep learning and computer vision
• Mastery of Python, PyTorch, TensorFlow, or similar frameworks
• Strong foundation in neural network architectures and optimization techniques
• Experience with model deployment and scaling in production environments
• Excellent problem-solving skills with a track record of delivering impactful AI solutions
• 5+ years of experience in AI/ML engineering roles

Nice-to-Have:

• Experience with industrial computer vision applications
• Familiarity with MLOps tools and practices
• Background in manufacturing or quality inspection processes
• Experience with cloud platforms (AWS, GCP, Azure)

Benefits: Competitive salary ($170K-$300K) + equity + comprehensive health benefits + unlimited PTO + daily lunch stipend + team retreats + learning budget