Machine Learning Engineer, Osaro

• B.S. or higher degree in computer science or related engineering field
• Excellent Python programming skills
• Experience with Tensorflow or a similar deep learning framework
• Knowledge of key concepts in machine learning (particularly deep learning) and data science
• Familiarity with big data and databases (BigQuery)
• Strong ethic of self-reliance and the initiative to take ownership of projects
• Strong communication skills
• Ability to determine reasonable timelines and deliver results accordingly
• Legal authorization to work in the U.S. is required

Desirable

• 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
• Building product features, data pipelines, and tooling for visualizing and understanding machine learning models
• Creating and adapting SOTA model architectures in Tensorflow or PyTorch to solve unique, high-value problems
• Applying best practices in data science to help the team draw actionable conclusions from our data and performance results
• Working with our machine learning team to automate, manage, and validate our data collection pipelines and processes
• Collecting, organizing, and presenting performance results to stakeholders