Senior Software Engineer - Machine Learning

February 27

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Standard Bots

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Standard Bots is a company focused on advancing AI in robotics. They have developed the RO1, a six-axis, programmable robotic arm that integrates AI to automate a wide range of manufacturing tasks such as CNC tending, case packing, deburring, inspection, and more. Their solution is designed to be powerful yet intuitive, aiming to make automation more accessible to both operators and developers. By providing automation tools that are easy to use and integrate, Standard Bots seeks to enhance productivity and safety in manufacturing environments. Additionally, they focus on expanding the potential use cases of robotics beyond manufacturing, improving human productivity and offering solutions that can aid in everyday tasks. With a recent funding of $63 million, they are poised to accelerate developments in AI and robotics, creating smarter robots for a safer and brighter future.

2 - 10 employees

🤖 Artificial Intelligence

💰 Venture Round on 2018-03

📋 Description

• Design and implement state of the art ML models and training pipelines: • Apply novel machine learning techniques to wide range of robotics applications • Develop efficient data and training strategies • Implement model evaluation frameworks and metrics tracking • Lead model development and iteration with focus on: • Rapid experimentation and prototyping of new model architectures • Performance optimization and model debugging • Transfer learning and fine-tuning strategies • Build robust evaluation and debugging systems to: • Analyze model behavior and failure modes • Implement interpretability tools and visualization frameworks • Track and improve model metrics • Collaborate with engineering team to optimize training infrastructure and deployment

🎯 Requirements

• Have 5+ years of software engineering experience, with ML experience • Proven track record developing and deploying large-scale ML models • Strong understanding of modern ML architectures and training techniques • Experience with model debugging, optimization, and performance tuning • Background in implementing ML research papers and adapting academic work

🏖️ Benefits

• Employee Stock Options • Paid Time Off • Medical/Dental/Vision Insurance • Life Insurance • Disability Insurance • 401(k)