Job Description
Our client is a global leader in AI-driven robotic automation software and hardware, transforming distribution and fulfillment centers worldwide. Their solutions increase productivity, empower growth and scale, mitigate labor challenges, reduce risk and time to market, and create better experiences for customers and employees.
Our Solutions
Their Multiagent Orchestration (MAO) platform provides vendor-agnostic fulfillment orchestration to continuously optimize performance in real time: the right order, with the right bot and agent, taking the right path and action. Currently operating more than 70 fulfillment sites across the globe (with deployments of 700+ robots at a single site), GreyMatter enables customers to decrease their fulfillment Cost Per Unit by 50%, reduce worker onboarding time by 90% and optimize peak season performance.
In retail stores, their gStore end-to-end store execution and retail management solution supports omnichannel fulfillment, real-time replenishment, intelligent workforce tasking and more. Using real-time overhead RFID technology, the platform increases inventory accuracy up to 99%, doubles staff productivity, and enables an engaging, seamless in-store experience.
Job Overview
As a Principal Engineer, you'll be the driving force behind the next generation of our autonomous fulfillment solutions, leading the definition and design of cutting-edge machine learning versions for our core algorithms. You will be instrumental in evolving our product suite, ensuring our systems are more intelligent, adaptive, and efficient than ever before.
Key Responsibilities
● Own the architectural vision for all ML applications within our product suite, translating business needs into robust and scalable ML system designs.
● Define the architecture and design patterns, and build POCs for GreyMatter’s ML algorithms.
● Work with the engineering team on design and implementation of ML model pipelines, including data ingestion, training, validation, deployment, and monitoring.
● Collaborate closely with software, robotics, product, and operations teams to align system goals with real-world fulfillment challenges.
● Stay at the forefront of ML research and technology, identifying opportunities to apply new techniques to our products.
Required Qualifications
● Education: M.S/Ph.D in Computer Science, AI/ML, or a related field.
● Experience: 10+ years of total experience in academia or industry.
Technical Expertise
● Deep expertise in machine learning, deep learning
● Hands-on experience in building and deploying production grade ML models
● Experience with the full ML pipeline (data collection, model training, MLOps, deployment)
● Experience with Generative-AI and LLMs
● Experience with cloud platforms and their ML services (e.g. Vertex AI)
● Ability to identify high-impact AI use cases and translate business problems into technical requirements
● Experience building and implementing an AI strategy and roadmap for a team/organization
● Strong understanding of data architecture and big data technologies (e.g., data lakes, streaming pipelines)
● Experience with MLOps principles and tools for continuous model delivery
● (Nice to Have) - Contributions to open-source projects, research publications, or patents in ML/AI
Salary Range: 220,000-270,000K
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Required Qualifications
● Education: M.S/Ph.D in Computer Science, AI/ML, or a related field.
● Experience: 10+ years of total experience in academia or industry.
● Responsible for Product Development END TO END! Owning the problem
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.