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Home›Jobs›OSARO›Machine Learning Engineer
OSARO

About OSARO

Revolutionizing e-commerce with intelligent robotics

🏢 Tech👥 21-100 employees📅 Founded 2015📍 Yerba Buena, San Francisco, CA💰 $80.3m
B2BArtificial IntelligenceLogisticsManufacturingDeep TechRoboticsSupply ChainComputer VisionMachine LearningAutomation

Key Highlights

  • Founded in 2015, with $80.3M raised in Series B
  • Partnership with Fanuc, enhancing market presence
  • Headquartered in Yerba Buena, San Francisco, CA
  • Focus on deep learning technology for adaptive robotics

Osaro, headquartered in Yerba Buena, San Francisco, CA, specializes in intelligent fulfillment robotics for e-commerce, leveraging deep learning technology to enhance automation. Founded in 2015, Osaro has raised $80.3 million in Series B funding and has established partnerships with industry leader...

🎁 Benefits

Osaro offers health, dental, and vision benefits, along with generous vacation time and excellent paid parental leave. Employees also enjoy a dog-frie...

🌟 Culture

Osaro's culture is rooted in innovation and the robotics revolution, focusing on intelligent automation to improve workplace safety and efficiency. Th...

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OSARO

Machine Learning Engineer

OSARO • San Francisco

Posted 11 months ago🏛️ On-SiteMid-LevelMachine learning engineer📍 San francisco💰 USD140,000 - USD180,000 / year
Apply Now →

Job Description

We are searching for a Machine Learning Engineer to help us build upon the intelligence and capabilities of our robots and the machine learning systems that power them. Our products combine state-of-the-art perception algorithms and adaptive decision-making abilities with sophisticated control algorithms to endow industrial robots with the autonomy needed to perform efficiently at scale in several industrial applications.

As a Machine Learning Engineer, you will work closely with our robotics, deployment, and sales teams to identify customer needs and conceptualize and build out machine learning solutions to those needs. You will also be responsible for monitoring, training, and validating performance of our deep learning models. We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. Our ideal candidates are those who care deeply about their team and demonstrate both directness and integrity.

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