Senior/Staff Machine Learning Engineer

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, Artificial Intelligence, AutomationIndustries

Requirements

Candidates should possess a Master’s degree in Computer Science, Robotics, or a related field, and have at least 5 years of experience in machine learning engineering, with a focus on robotics and reinforcement learning. Strong programming skills in Python are required, along with experience using deep learning frameworks such as PyTorch. Familiarity with robotics concepts, sensor fusion, and state estimation is also necessary, as is the ability to work with multimodal sensor data.

Responsibilities

As a Senior/Staff Machine Learning Engineer, you will design and implement machine learning solutions for Dexterity’s robotics stack, including perception, decision-making, and action scoring. You will own the full ML development cycle, from data curation and labeling to model deployment and iteration. You will collaborate with robotics, data platform, and simulation teams to integrate ML into real-time robotic systems, and build data flywheels to improve model performance and reliability. Additionally, you will work on improving packing algorithms, solving logistics tasks, and building models that understand physics and geometry for various robotic applications, ensuring reproducibility and traceability across the ML pipeline.

Skills

Machine Learning

Reinforcement Learning

Imitation Learning

Sequential Decision Making

Sensor Data Processing

Physical AI

Robot Task Planning

Sensor Fusion

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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