Company Description

Locus Robotics is a leader in the rapidly growing eCommerce order fulfillment optimization space. Our solution helps warehouse owners attain 2-3X efficiency improvement over cart-picking operations, by empowering pickers to work collaboratively with our robots. All this is accomplished while integrating with the operator’s Warehouse Management System, utilizing and optimizing existing facility infrastructure.

Job Description

The Artificial Intelligence (AI) and Data Sciences (DS) team at Locus Robotics focuses on combining sophisticate software technologies with advances in various aspects of AI and DS disciplines such as Deep Learning & Deep Reinforcement Learning, Advanced Analytics, Generative AI, Decision Sciences, Operations Research, IoT/Simulation, Computational Perception, AI-based Goal Planning and Cloud-based software to provide novel, enabling, and breakthrough solutions for various facets of autonomous robotic and autonomous robot fleet operations.

The Senior Director role serves as a dynamic, hands-on, innovation minded leader in applying these technologies to the fascinating field of autonomous robots and their applications particularly in the domain of intralogistics and industrial automation.

Job Responsibilities:

This leader will work with internal teams and external customers to:

• Provide leadership and/or subject matter expertise in developing various analytics related products (descriptive, predictive, and prescriptive analytics) as well as playing a critical role in contributing to the monetization of those products.
• Define and lead full-scale projects, with the goal of quick market introduction leveraging agile methodologies.
• Apply modern AI and machine learning methodologies to solve complex problems involving synthesis of solutions that can measurably streamline AMR operations.
• Develop novel perception-based solutions, leveraging advances in sensor technology and sensor fusion algorithms and the power of AI and IoT at the edge and in the cloud, that can demonstrably increase the efficiency and effectiveness of highly autonomous robotic fleets.
• Contribute to the application of deep learning and deep reinforcement learning in mobile robotic navigation, control & planning, and optimization algorithms (particularly involving Adaptive and Reinforcement Learning.)
• Leverage advances in Generative AI, including LLMs, to enhance operations of autonomous robots.
• Build a talented AI/ML, Big Data, Analytics, and computational perception organization infusing a culture of innovation and commercial aptitude in the operation of the team.
• Partner with the DevOps team to establish a state of the art MLOps practice that can support innovation as well as customer deployment activities.

Qualifications

• Master's or PhD degree in Engineering, Mathematics, or Statistics preferably with a focus on Machine Learning and AI.
• 10+ years of experience developing engineering/software solutions.
• Experience leading teams and delivering projects on time and on budget.
• 8+ years of experience in developing solutions in the field of Analytics, AI/ML, or computational perception.
• 5+ years of experience leading AI/ML teams with demonstrated experience in supporting AI/ML products in production.
• Expertise in applying Data Sciences, and/or AI-based computer vision and/or Artificial Neural Networks (ANN) & Deep Learning methodologies to a diverse set of commercial applications including, but not limited to, classification problems, prediction problems, sensor fusion and perception projects, optimization projects, navigation and control algorithms and problems.
• Familiarity with Generative AI paradigm and LLM approaches.
• Working knowledge of Agile methodologies.
• Demonstrated ability to program in one or more high level languages (e.g., C++, Python, Java, C#) in conjunction with widely used AI/ML SDKs.
• Experience with Cloud and Edge AI software development.
• Experience identifying and working with key partners in the field.
• Experience in managing operation of customer serving DS/AI products in production environments.
• Familiarity with best practices for MLOps.

Additional Information

Locus Robotics is an Equal Opportunity Employer