Head of Computer Vision and Machine Learning, Dexterity

$160-220k

AWS
Docker
Kubernetes
GCP
Python
C++
Azure
Senior level
San Francisco Bay Area

Office located in Redwood City

Dexterity

Robotics for logistics, warehouses, and supply chain

Open for applications

Dexterity

Robotics for logistics, warehouses, and supply chain

201-500 employees

B2BArtificial IntelligenceEnterpriseLogisticsManufacturingRoboticsSupply ChainSaaS

Open for applications

$160-220k

AWS
Docker
Kubernetes
GCP
Python
C++
Azure
Senior level
San Francisco Bay Area

Office located in Redwood City

201-500 employees

B2BArtificial IntelligenceEnterpriseLogisticsManufacturingRoboticsSupply ChainSaaS

Company mission

Dexterity's mission is to help people thrive and grow by freeing them to do work that humans do best, by transforming the world to make work more purposeful.

Role

Who you are

  • MS or PhD in Computer Science, or a related discipline, or equivalent experience
  • 2 or more years of experience leading a team of Computer Vision or Machine Learning engineers
  • At least 5 years of experience in building ML datasets, data pipelines and serving architecture
  • Creating a culture of developing high quality models, tests and regressions
  • Strong knowledge of Modern C++ and Python
  • Experience building, maintaining and improving production code

Desirable

  • Experience with Docker and Kubernetes
  • Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines

What the job involves

  • As the Head of CV and ML, you will be leading a team of highly qualified and talented Machine Learning and Computer Vision engineers working on Dexterity’s computer vision and data analysis initiatives
  • The role will involve understanding our current products and future requirements and bringing your substantial expertise to augment the products and help us to meet the future requirements
  • Previous experience leading CV and ML teams to create CV models, large training sets as well as robust regression pipelines is a prerequisite for this role

Our take

Dexterity emerged from stealth at an opportune, albeit tough, time in 2020, just as an accelerating labour crunch drove major demand for automated solutions in factories and warehouses. The company managed a major fundraise and immediately moved on to bigger and better things: expanding into the Japanese market, partnering with supply chain automation leader Dematic and achieving unicorn status with a greater than $1 billion valuation.

Unlike other companies which are fixated on developing increasingly sophisticated, more human-like robots, Dexterity’s takes a comparatively simple hardware approach. Its machines take care of highly repetitive tasks, while its SaaS platform shares everything it learns with each robot, amplifying intelligence across the fleet. Rather than seeking to replace human workforces it aims to augment them, freeing skilled workers for more complex tasks.

Considering that the worldwide labour shortage is heavily impacting the industrial sector, Dexterity is in a promising position to continue its upward trajectory over the next few years.. Indeed its recent partnerships with Sumitomo to supply 1,500 Dexterity robots in their warehouses and with FedEx for autonomous trailer loading are encouraging signs of things to come for the company.

Freddie headshot

Freddie

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

1% employee growth in 12 months

Company

Funding (2 rounds)

Oct 2021

$140m

SERIES B

Jul 2020

$56.2m

SERIES A

Total funding: $196.2m

Company benefits

  • Flexible and generous vacation and holidays
  • Comprehensive healthcare benefits for you and your family
  • Retirement plan (subject to country of employment)
  • Wellbeing and fitness offerings
  • Insurance programs
  • Discounts and perks
  • Meals and snacks at our sites

Company HQ

Redwood City, CA

Leadership

Former Software Design Engineer at Microsoft India R&D, former Research Assistant at Simon Fraser University. Before founding Dexterity they spent 10 years at Stanford University, gaining a Doctor of Philosophy (Ph.D.) & Master of Science (M.S.), Computer Science.

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