Website RIOSCorporation RIOS Corporation

About RIOS:
RIOS is a technology company helping global customers automate their factories, warehouses, and supply chain operations by deploying a new class of AI-powered and dexterous robots. RIOS robots handle hard-to-automate tasks, typically requiring human-level dexterity, in unstructured environments. RIOS is headquartered in Palo Alto, CA and has a pilot facility in San Carlos, CA. More information is available at www.rios.ai.

The Role:
RIOS is looking for a Machine Learning Engineer that can work with and collect RIOS datasets, run experiments, and develop and apply new and/or different models to various customer use cases.

Requirements:
Work daily on developing advanced algorithms using modern ML methods
Test and deploy models on custom & cloud hardware
Work on ML systems for data collection, management and training
Validate and test algorithms that push hardware and technology limits to solve real-world problems
Work with a multidisciplinary team to solve previously unsolvable problems
Leveraging and utilizing abstraction & scoping in software development to enable scalable systems

Attributes of desired candidates include:
B.S. or M.S. with industrial experience (or equivalent) in Robotics, Computer Science, Machine Learning, or related field
Experience training custom/in-house datasets with State-of-the-Art models
Familiarity with algorithms and real world performance on GPUs
High degree of familiarity with ML/DL frameworks: TensorFlow, PyTorch, Theano, Keras, MXNet, Scikit Learn, etc.
Familiarity with databases such as SQL, NoSQL, and cloud solutions
Expert proficiency working with Python (C++ a plus)
Understanding of data typing and interaction with learning frameworks
Experience developing in containerized environments (e.g., Docker)
Attention to details such as documentation, version control and reproducibility
Familiarity with ROS (Robot Operating System)

Perks:
Competitive salary package & Stock options for every employee
Healthcare + dental + vision insurance plans
401(k) plan
Free lunch
Flexible time off & paid holidays
Social events + happy hours + team parties

To apply for this job please visit careers.jobscore.com.