Dexterity

Head of Computer Vision and Machine Learning

Redwood City, California, United States

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.

Key Metrics

Redwood City, CaliforniaHeadquarters
2017Year Founded
$190.8MTotal Funding
SERIES_BCompany Stage
Robotics & Automation, Industrial & Manufacturing, AI & Machine LearningIndustries
201-500Employees

Benefits

Flexible vacation time
Comprehensive healthcare benefits
Retirement plan
Wellbeing & fitness offerings
Insurance programs
Discounts & perks

Risks

Increased competition from companies using Generative AI could challenge Dexterity's market position.
Rapid AI and robotics evolution may render Dexterity's offerings obsolete without continuous innovation.
New labeling requirements could increase operational costs and complexity for Dexterity.

Differentiation

Dexterity's robots operate without needing data feeds or warehouse software integration.
Their technology offers real-time environmental understanding, enhancing adaptability in logistics settings.
Dexterity's AI-powered robots surpass human capabilities in trailer loading and parcel sorting.

Upsides

Dexterity's collaboration with FedEx showcases successful large-scale logistics automation.
Expansion into EMEA could increase market penetration and business opportunities.
Growing demand for automated labeling solutions boosts Dexterity's market potential.

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