Senior Software Engineer, Machine Learning

Summary

Join Standard Bots, a company revolutionizing real-world automation, as a Senior Machine Learning Engineer. You will design and implement state-of-the-art ML models and training pipelines for robotics applications. This role involves applying novel machine learning techniques, developing efficient data strategies, and building robust evaluation systems. You will collaborate with the engineering team to optimize training infrastructure and deployment. Experience with robotics is not required; however, 5+ years of software engineering experience with a proven track record in large-scale ML model development and deployment is essential. Standard Bots offers a competitive salary, stock options, and a comprehensive benefits package.

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
• Experience with PyTorch

Responsibilities

• 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
• Lead model development and iteration with focus on: Performance optimization and model debugging
• Lead model development and iteration with focus on: Transfer learning and fine-tuning strategies
• Build robust evaluation and debugging systems to: Analyze model behavior and failure modes
• Build robust evaluation and debugging systems to: Implement interpretability tools and visualization frameworks
• Build robust evaluation and debugging systems to: Track and improve model metrics
• Collaborate with engineering team to optimize training infrastructure and deployment

Preferred Qualifications

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)