Staff AI Research Engineer

🔥 20 hours ago

🗽 New York – Remote

🗽 New York – Remote

💵 $250k - $300k / year

⏰ Full Time

🔴 Lead

🧠 AI Research Scientist

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Standard Bots

WebsiteLinkedInAll Job Openings

1 - 10 employees

💼 Consulting

📦 Logistics

🤖 Artificial Intelligence

💰 Venture Round on 2018-03

Consulting • Logistics • Artificial Intelligence

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.

📋 Description

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

🎯 Requirements

• 7+ years of AI modeling experience specifically within the self-driving car industry, or PhD with 3+ years of AI modeling experience in the self-driving car industry • Proven track record developing and deploying large-scale ML models • Professional experience with diffusion and autoregressive models • Familiarity with training, inference, and infrastructure pipelines from camera input to trajectory output for self-driving or robotics • Experience with reinforcement learning (RL) • Strong understanding of modern ML architectures and training techniques • Experience with model debugging, optimization, and performance tuning • Background implementing ML research papers and adapting academic work • PyTorch experience required • Experience with Python, NodeJS/Typescript, and Docker

🏖️ Benefits

• Employee Stock Options for all Full-Time Employees • Paid time off • Medical insurance • Dental insurance • Vision insurance • Life insurance • Disability insurance • 401(k)