Head of Computer Vision and Machine Learning at Dexterity

Redwood City, California, United States

Dexterity Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Robotics & Automation, Data & AnalyticsIndustries

Skills

Key technologies and capabilities for this role

Semantic SegmentationInstance SegmentationPyTorchTensorFlowRGBD datasetsPoint cloudsC++PythonModel ArchitectureTraining PipelinesServing InfrastructureData AugmentationRobotics

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position.

What are the key skills required for the Head of CV and ML role?

The role requires substantial expertise in Computer Vision and Machine Learning, previous experience leading CV and ML teams, experience with semantic segmentation and instance segmentation, solid experience writing optimized code in C++ and Python, and hands-on work with RGBD datasets and point clouds.

What will I be leading in this role?

You will lead a team of highly qualified and talented Machine Learning and Computer Vision engineers working on Dexterity’s computer vision and data analysis initiatives.

What salary or compensation is offered for this position?

This information is not specified in the job description.

What experience makes a candidate stand out for this role?

Candidates with previous experience leading CV and ML teams to create CV models, large training sets, robust regression pipelines, and architecting models, training pipelines, and serving infrastructure at scale will be strongest, along with expertise in semantic segmentation, instance segmentation, RGBD datasets, point clouds, and optimized C++/Python coding.

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

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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