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Machine Learning Ops Lead

Engineering | San Francisco, Bay Area, CA | Full Time

Job Description

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

The Role

RIOS is looking for a Machine Learning Operations Lead who can scale our data ingestion and machine learning pipelines to support a world-class distributed learning and inference infrastructure that is revolutionizing manufacturing, supply chains, e-commerce, and other industrial applications.

Responsibilities of the role include:

● Data engineering, data formatting/standardization and database design

● Data pipelining for ML training and model deployment

● Distributed computing

● CI/CD driven development for both codebases and model performance

Technical attributes of candidates may include:

● 3 years industry experience (likely with M.S. or Ph.D. in Computer Science, Data Science, Machine Learning, or related field)

● Familiarity with best practices around data security, encryption and privacy

● Experience architecting data infrastructure (including code version control, data versioning, & model versioning) for machine learning applications

● Knowledge in scaling data-driven systems and architectures for real-time inference

● Familiarity with experiment tracking and management

● High degree of familiarity with ML/DL frameworks such as TensorFlow and PyTorch

● Familiarity with databases such as SQL, NoSQL, and cloud solutions Attention to details such as documentation, version control and reproducibility

Nice to Have:

● Specialization in applications including computer vision, robotic control Experience with distributed deep learning frameworks:  Ray, Horovod, Apache Spark etc.

● Familiarity with ROS (Robot Operating System)Familiarity with State-of-the-Art algorithms and real world performance on GPUs

● Cluster management and orchestration with Kubernetes or similar frameworks


● 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