We’re growing fast and looking for a driven and dedicated Machine Learning Engineer to join our team enabling next-generation automation!
Join the Osaro Team:
OSARO offers robotic solutions powered by machine learning, specifically for picking and placing tasks in distribution centers and factories. The company is known for having the most powerful machine vision technology for robotic piece-picking, which has been verified by the world’s top retailers, system integrators, robot manufacturers, and 3PLs.
OSARO has validated its solutions with the most sophisticated robotic piece-picking deployments in the market, including for grocery distribution and cosmetics use cases, where key challenges include a) high SKU inventories, b) varying, complex packaging types, and c) fragile items requiring delicate handling. The company is the only full-stack robotics company to also offer a vision-only solution.
To learn more please visit: https://osaro.com
Position Responsibilities:
They are searching for a Machine Learning Engineer to help manage and improve the data collection and model training pipeline used to train their AI software. Their 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 the machine learning team to automate, manage, and validate the data collection pipelines and procedures. You will also be responsible for monitoring, training, and validating performance of their deep learning perception models. They value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. The ideal candidates are those who care deeply about their team and demonstrate both directness and integrity.
This role includes:
- Working with the machine learning team to automate, manage, and validate their data collection pipelines and processes
- Training, monitoring, and validating their deep learning perception models
- Visualizing, debugging, and diagnosing data integrity issues
- Executing hands on machine learning with TensorFlow, Keras, deep learning concepts and popular models/architectures, tools, and techniques
- Building ML pipelines, product features, tooling for visualization and diagnosing ML models, tooling for data analytics, and contributing to production quality software
- Collecting, organizing, and presenting performance results to stakeholders
- Applying best practices in data science to help the team draw actionable conclusions from data and performance results
Qualifications:
- 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 do whatever is needed to solve a problem
- Strong communication skills and a proven ability to deliver under aggressive schedules
- Legal authorization to work in the U.S. is required (we do sponsor H1B transfer)
Our Dream Teammate will be:
- Strong theoretical knowledge and practical experience with classical machine learning and deep learning techniques
- Experience with 3D scene understanding and object detection/segmentation from vision
- Experience with robotic manipulation hardware: arms, 3D cameras, force sensors
- Experience working independently on large, shared code bases and infrastructure
- Experience with big data processing tools: Spark/Hive/BigQuery etc.
Location: San Francisco
Job Type: Full-time
Salary: $160,000.00 - $180,000.00