Data Science Tech Lead at iRobot

Bedford, Massachusetts, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

RoboticsIndustries

Requirements

M.S or PhD in Computer Science or equivalent degree
Several years of demonstrated up to date experience in leading the development and deployment to production of end-to-end machine learning applications such as object detection, 3D reconstruction, 3D understanding of scenes, room layout estimation, semantic segmentation, etc
Several years of demonstrated experience in leading the development and deployment of end-to-end data science applications in big data scenarios
Up to date experience in deep and reinforcement learning models and techniques
Experience with ML frameworks (PyTorch, TensorFlow, etc) and MLOps
Familiarity with modern ML tooling, such as PyTorch Lightning, Hydra, and experiment tracking frameworks (e.g., WandB, MLflow)
Experience with automatic annotation and domain adaptation techniques
Experience making applications using generative AI models
Experience with C++ and Python applied to robotics
Experience with robotic perception, including multiple sensing modalities like 2D vision, 3D vision, LIDAR, etc
Solid understanding and experience in design patterns, data structures and advanced programming techniques
A strong connection to and up to date knowledge of developments and advances in the ML research community
Experience leading a technical team to deliver productized capabilities (not a research position)
Authorized to work for any employer in the U.S. (no sponsorship available)

Responsibilities

Lead a team of talented AI / ML / data scientists and engineers that are working together to solve complex challenges in robotics
Develop machine learning solutions for enriching and improving map understanding, navigation and planning in challenging and dynamic environments
Work at the intersection of predictive and generative intelligence
Utilize extremely large data sets of historical robot operational data, maps, object and obstacle images to create statistical and classification models for use in cloud and on-device processing
Design cost-effective cloud processing pipelines to train models using a variety of techniques
Find new synergies among approaches in spatial and semantic understanding
Introduce use of large language models to previously human-directed interpretation tasks
Solve problems pragmatically, applying judgment and experience to identify and balance technical and business trade-offs
Lead assessment of 3rd party and open-source tools
Help to identify and deliver new product features that provide data-driven value to customers
Invent new approaches and carry these all the way to deployment to support millions of robots

Skills

Key technologies and capabilities for this role

Machine LearningAIData ScienceObject Detection3D ReconstructionLarge Language ModelsCloud ProcessingRoboticsNavigationPlanningStatistical ModelsClassification Models

Questions & Answers

Common questions about this position

What qualifications are required for the Sr. Principal Scientist role?

Candidates need an M.S. or PhD in Computer Science or equivalent, several years of experience leading end-to-end machine learning and data science applications in production, and up-to-date expertise in deep and reinforcement learning.

What technical skills and tools are needed for this position?

Required skills include experience with ML frameworks like PyTorch and TensorFlow, MLOps, modern tooling such as PyTorch Lightning and Hydra, C++ and Python for robotics, and robotic perception with modalities like 2D/3D vision and LIDAR.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What will I be leading in this role at iRobot?

You will lead a team of talented AI/ML/data scientists and engineers working on complex robotics challenges, including machine learning for map understanding, navigation, planning, and deploying models to support millions of robots.

iRobot

Designs and manufactures consumer cleaning robots

About iRobot

iRobot designs and builds intelligent robots for home use, with a focus on making household maintenance easier and healthier. The company is best known for its Roomba robot vacuum, which was first introduced in 2002 and has sold millions worldwide. iRobot's products utilize advanced cleaning, mapping, and navigation technologies to efficiently clean homes. Unlike many competitors, iRobot emphasizes a commitment to social justice and inclusiveness in its workplace, ensuring a respectful environment for all employees. The company's goal is to provide effective home maintenance solutions while promoting equality and accessibility in its hiring practices.

Atlantic City, New JerseyHeadquarters

1990Year Founded

$29.2MTotal Funding

IPOCompany Stage

Robotics & Automation, Consumer GoodsIndustries

1,001-5,000Employees

Benefits

Health, dental, & vision coverage

HSA & FSA

401(k) contributions

Employee Stock Purchase Plan

Life & disability insurance

Generous time off

Great discounts

iRobot product discounts

Risks

Co-founder Colin Angle's new startup could increase competition and talent drain.

Failure of Amazon's acquisition plan may hinder strategic growth opportunities.

Recent layoffs indicate potential financial instability and affect employee morale.

Differentiation

iRobot pioneered consumer robots with the Roomba, setting industry standards since 2002.

The company integrates advanced mapping and navigation in its cleaning technologies.

iRobot emphasizes inclusiveness and equality, fostering a respectful work environment.

Upsides

Increased interest in smart home ecosystems boosts demand for iRobot's advanced products.

Self-emptying and powerful vacuums align with consumer preferences for convenience.

Growing home automation market offers expansion opportunities for iRobot's product offerings.

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