Senior Machine Learning & Computer Vision Engineer
Dandy185,000 - 232,500 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Robotics & AutomationIndustries
Requirements
Candidates must have strong expertise in building and augmenting machine learning models for computer vision, particularly in semantic segmentation and instance segmentation. Experience with RGBD datasets and point clouds is essential, along with familiarity in ML and CV applications for autonomous vehicles or robotics. Proficiency in writing optimized code in C++ and Python is critical, as well as understanding cloud infrastructure for building training and serving pipelines.
Responsibilities
The Senior/Staff Machine Learning Engineer will be responsible for developing and scaling ML models and pipelines to enhance accuracy and cover various scenarios. They will identify key problems that can be addressed through machine learning, implement the latest developments in the field, and manage the end-to-end process of data gathering, augmentation, labeling, and model optimization. Additionally, they will ensure the models are performant and capable of low latency inference for real-time applications.
Skills
Python
C++
Pytorch
Tensorflow
Semantic Segmentation
Instance Segmentation
RGBD datasets
Point Clouds
Machine Learning
Computer Vision
Cloud Infrastructure
Training Pipelines
Low-latency inference
Dexterity
AI-powered robotic solutions for logistics
About Dexterity
Dexterity.ai develops AI-powered robotic technology aimed at improving logistics and supply chain management, particularly in trailer loading. Their robots autonomously pick and induct parcels into sorting systems at speeds faster than humans. A key feature of their technology is its ability to understand the environment in real-time without needing external data feeds or software integration, making it adaptable for various operations. Dexterity.ai serves a range of clients, from small businesses to large corporations like FedEx, focusing on enhancing operational efficiency, employee safety, and attracting talent through automation. They generate revenue by selling their robotic solutions and providing consultation services for technology integration, with the goal of transforming the logistics industry into a safer and more efficient environment.
Key Metrics
Redwood City, CaliforniaHeadquarters
2017Year Founded
$190.8MTotal Funding
SERIES_BCompany Stage
Robotics & Automation, Industrial & Manufacturing, AI & Machine LearningIndustries
201-500Employees