Senior ML Engineer, Applied Machine Learning
Red Cell Partners- Full Time
- Senior (5 to 8 years)
Candidates should have 5+ years of software engineering experience, with a strong background in machine learning. A proven track record in developing and deploying large-scale ML models is essential, along with a strong understanding of modern ML architectures and training techniques. Experience with model debugging, optimization, and performance tuning is required, as well as a background in implementing ML research papers and adapting academic work. Proficiency in PyTorch is mandatory, along with experience in Python, NodeJS/Typescript, and Docker.
The Senior Machine Learning Engineer will design and implement state-of-the-art ML models and training pipelines, applying novel machine learning techniques to a wide range of robotics applications. They will develop efficient data and training strategies, implement model evaluation frameworks, and lead model development with a focus on rapid experimentation and performance optimization. The engineer will build robust evaluation and debugging systems to analyze model behavior, implement interpretability tools, and collaborate with the engineering team to optimize training infrastructure and deployment.
Robotic automation solutions for businesses
Standard Bots offers robotic automation solutions for small to medium-sized enterprises (SMEs), with their main product being the RO1 collaborative robot. This robot can perform various tasks such as machine tending, pick and place operations, and inspection without requiring programming knowledge, making it user-friendly. The company stands out with its subscription model, starting at $500 per month, which includes the robot and comprehensive support services, allowing businesses to adopt automation without significant upfront costs. The goal of Standard Bots is to help SMEs improve efficiency and reduce labor costs through accessible and easy-to-use robotic solutions.