Senior Machine Learning & Computer Vision Engineer
Dandy$185,000 - $232,500/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 & Automation, Data & AnalyticsIndustries
Requirements
Candidates must have substantial experience leading Computer Vision and Machine Learning teams, particularly in creating CV models and robust regression pipelines. Expertise in semantic segmentation and instance segmentation is essential, along with proficiency in platforms like PyTorch or TensorFlow. Significant experience with RGBD datasets and point clouds is required, as well as strong coding skills in C++ and Python. Candidates should have experience architecting models, training pipelines, and serving infrastructure at scale.
Responsibilities
The Head of Computer Vision and Machine Learning will lead a team of engineers working on computer vision and data analysis initiatives. They will oversee the architecture and development of models, identify additional machine learning opportunities, and manage the end-to-end process of data gathering, training set creation, model performance evaluation, and deployment. The role also includes mentoring developers and staying updated with the latest research in the field.
Skills
Semantic Segmentation
Instance Segmentation
PyTorch
TensorFlow
RGBD datasets
Point clouds
C++
Python
Model Architecture
Training Pipelines
Serving Infrastructure
Data Augmentation
Robotics
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.
Redwood City, CaliforniaHeadquarters
2017Year Founded
$190.8MTotal Funding
SERIES_BCompany Stage
Robotics & Automation, Industrial & Manufacturing, AI & Machine LearningIndustries
201-500Employees