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), Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Robotics & Automation, Enterprise SoftwareIndustries
Requirements
Candidates must have a Bachelor's degree in Computer Science or a related field and extensive experience in Computer Vision and Machine Learning. Proficiency in C++ and Python is required, along with familiarity with RGBD datasets and point clouds. Experience in developing ML models for autonomous vehicles or robotics is highly preferred, as is knowledge of cloud infrastructure for building training and serving pipelines.
Responsibilities
The Senior Computer Vision Engineer will write Computer Vision code and build Machine Learning models while understanding and addressing the limitations of current systems. They will update and scale ML pipelines to improve accuracy, implement the latest developments in semantic and instance segmentation, and ensure low latency inference for real-time applications. Additionally, the engineer will manage the end-to-end process of data gathering, augmentation, labeling, and performance optimization of models.
Skills
C++
Python
Pytorch
Tensorflow
Semantic Segmentation
Instance Segmentation
RGBD datasets
Point clouds
Data Gathering
Data Augmentation
Data Labeling
Model Performance Study
Model Optimization
Cloud Infrastructure
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