Canada onlyIntroduction
iRobot is looking to hire an experienced practitioner to lead our combined Artificial Intelligence / Machine Learning / Data Science product R&D team. This individual will play a vital role in setting direction and developing the next generation of capabilities that enhance what robots can do in millions of homes and yards across the world. If you are eager to build innovative robotic products, please apply now or reach out to one of our recruiters on LinkedIn.What you will do:
- Lead a team of talented AI / ML / data scientists and engineers that are working together to solve complex challenges in robotics, data, and model management.
- 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. 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.
To Be Successful You Will Have:
- 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.
- Experience leading a technical team to deliver productized capabilities (not a research position)
- LLM, VLM
- 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
- AWS data management infrastructure and systems such as Athena, Glue, and Lake Formation
- 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. LLM, VLM.
In Return You Can Expect:
- To work on the cutting edge of robotic products that leverage AI / ML / Data Science with the largest installed base of consumer robots
- Opportunities to continuously learn and collaborate with our innovative and knowledgeable technical staff and experts on leading-edge, cost-efficient cloud computing.
- A work environment filled with committed engineers who value and act on new ideas.
- An attractive salary package with great benefits.
- Excellent career growth opportunities.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship of any additional employment visas at this time.
United States
China only
