Keystone AI

Senior Applied Scientist – Deep Learning

About Keystone AI US LLC

At Keystone.AI, we are on a mission to help enterprises optimize performance and advance sustainability through transformative science and technology. Our Deep Enterprise™ AI Platform combines granular probabilistic forecasting with mathematical decision optimization and automated decision agents.  It powers core operational decisions across production, inventory, replenishment, logistics, workforce management, promotions, and annual operating planning.  This integrated system reduces supply chain waste, strengthens service levels, and unlocks meaningful improvements in working capital. Keystone.AI is a division of Keystone, a global technology, economics, and strategy firm that serves 40% of the Fortune 100.

About the role

Keystone AI's team is seeking a Senior Scientist with Deep Learning experience who will help drive the development of our foundation forecasting capabilities—Keystone’s flagship product for cutting-edge time series forecasting and intelligent inventory management. Our Core AI team builds advanced AI applications deployed for clients across diverse industries, helping them transform mission-critical processes, reduce waste, and modernize operations through deep learning–powered automation.

In this role, you will work closely with other scientists and ML engineers, shaping the design and deployment of deep learning models for forecasting, inventory control, and data-driven insights. You will leverage your extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) to produce innovative and industry-leading solutions that optimize supply chain and operational workflows.

If you are passionate about pushing the boundaries of AI, mentoring high-performing teams, and collaborating closely with business and technical stakeholders to deliver end-to-end solutions, we invite you to apply. This is the future of supply chain forecasting and optimization, and we are poised to deliver it.

This position is based in NYC or Bellevue. We are hybrid work environment.

What you'll do

  • Provide Thought and Invention: Contribute to the strategy and vision for Keystone’s Core AI team by championing deep learning innovations in time series forecasting, supply chain optimization, and inventory control.
  • Cross-functional Collaboration: Contribute as a member of a multidisciplinary team of data scientists and ML engineers, guiding them in model development, best practices, and impactful project delivery.
  • Develop Advanced Models: Design and refine deep learning architectures that accurately forecast demand, manage inventories, and extract actionable insights from complex data sets across industries.
  • Collaborate Cross-Functionally: Work closely with product managers, data scientists, economists, research scientists, software engineers, and ML engineers to create scalable, end-to-end AI solutions that address real business needs.
  • Drive Innovation: Contribute to the evolution of Keystone’s foundation forecasting capabilities by exploring novel techniques, ensuring our solutions remain on the cutting edge.
  • Champion Operational Excellence: Ensure models are robust, efficient, and production-ready, accelerating time-to-market for AI-driven applications.

Basic Qualifications

  • PhD in Machine Learning, Statistics, Industrial Engineering, Operations Research, Optimization, or an equivalent quantitative field.
  • 3-5 years of overall experience in machine learning and statistical modeling, including exposure to time series forecasting and large-scale data analysis.
  • Hands-on expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) with a proven track record of successfully deploying deep neural architectures in production.
  • Demonstrated ability to lead and mentor teams of scientists, ML engineers, or related technical roles.
  • Excellent communication skills, with the ability to convey complex technical concepts to a variety of stakeholders and executives.

Preferred Qualifications

  • Experience developing deep learning solutions in supply chain contexts, including forecasting, demand planning, and inventory optimization.
  • Familiarity with building innovative solutions in emerging areas such as Generative AI, advanced statistical analysis, and quantitative optimization.
  • Background in building enterprise-scale AI systems that operate in fast-paced, cross-industry environments.
  • Desire to work in a self-directed, entrepreneurial culture where innovation and fast iteration are the norm.

US Salary Range: $150,000 - $250,000, plus an annual discretionary bonus, 401k, and competitive benefits package. Actual compensation within the range will depend upon the level the individual is hired into based on their skills, experience, qualifications.

At Keystone AI, we believe diversity matters. At every level of our company, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone AI.

R&D

Bellevue, WA

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