Senior/Staff AI Algorithms Engineer at Dexterity

Redwood City, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Warehouse AutomationIndustries

Requirements

PhD or equivalent experience in machine learning, robotics, optimization, applied math, or a related field
Strong mathematical foundation in areas such as probability, statistics, optimization, and reinforcement learning
Ability to turn theoretical insights into practical, testable code using Python and PyTorch (or similar frameworks)
Curiosity, initiative, and a bias toward building and debugging in real systems
Clear communication skills and an ability to collaborate across engineering and research boundaries

Responsibilities

Design and prototype novel algorithms at the intersection of learning, prediction, and planning, with a focus on solving real product challenges
Apply reinforcement learning, geometric reasoning, or optimization-based methods to tackle long-horizon manipulation, sensor fusion, or decision-making under uncertainty
Translate open-ended problems into clear technical approaches, balancing modeling intuition with real-world constraints like latency, reliability, and partial observability
Build and test algorithms across simulation and real-robot environments
Collaborate closely with product leads, software engineers, and roboticists to bring ideas into fruition
Contribute to internal knowledge, tooling, and experimentation pipelines that level up the entire team

Skills

Machine Learning

Reinforcement Learning

Optimization

Search Algorithms

Task and Motion Planning

Simulation

Robotics

Multimodal Sensors

Physical AI

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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