Ready to take the next step in your career?Join a global leader in modern supply chain management, delivering innovative software trusted by leading brands worldwide to navigate volatility and disruption with agility and predictability. The organization combines advanced patented technology with a human-centered approach to AI, enabling businesses of all sizes to orchestrate their end-to-end supply chain operations, from long‑term strategic planning to real‑time execution and last‑mile delivery.If you would like to learn more about this opportunity, feel free to reach out and apply today!ResponsibilitiesApply deep expertise in machine learning and applied AI to develop practical solutions that address real customer challengesExplore emerging technologies and approaches, building early‑stage systems that demonstrate clear business valueLead technical direction across teams while remaining hands‑on in applied research and innovationContinuously evaluate the evolving AI landscape, identifying opportunities to leverage new tools and techniques for product advancementTranslate complex ideas into scalable, high‑impact solutions that drive product differentiationGuide key technical decisions and contribute to shaping future product capabilitiesCollaborate closely with product and engineering teams to ensure solutions are aligned with real‑world requirements and scalable to enterprise‑grade systemsBalance innovation with practicality, maintaining a strong focus on delivering customer valueMentor team members and promote a culture of rigorous, outcome‑driven innovationRequired Skills/QualificationsPhD in Computer Science, Machine Learning, Artificial Intelligence, Operations Research, or a related field.Extensive experience applying machine learning to solve complex real‑world problems, with a track record of developing novel approaches or adapting emerging techniques in practical settings.Strong hands‑on experience building prototypes, proof‑of‑concepts, and early systems that demonstrate the value of new ML and AI methods.Deep expertise in modern AI techniques, with strong familiarity in areas such as agentic systems, LLMs, RAG, recommendation, optimization, explainability, and broader language‑based AI techniques.Strong technical judgment and the ability to assess new technologies critically, separating durable opportunities from short‑term hype.Ability to influence technical direction across teams through expertise, credibility, and collaboration.Strong programming ability in Python and experience working with modern ML and data tooling.Experience partnering closely with engineering and product teams to move promising ideas toward scalable product capabilities.Excellent communication skills, with the ability to engage technical and non‑technical stakeholders and bring clarity to complex problems.Practical, product‑minded approach to innovation, with an appreciation for enterprise software quality, maintainability, and customer impact.Nice to HaveStrong mathematical foundation in areas such as probability, statistics, linear algebra, optimization, or stochastic methods.Experience with learning from human feedback and designing AI systems that incorporate feedback, oversight, or interaction into how they adapt and improve.Track record of developing intellectual property through patents, publications, inventions, or other differentiated technical contributions.Experience turning ambiguous customer or product problems into research directions, prototypes, and validated solution concepts.Familiarity with enterprise SaaS products and the considerations involved in bringing AI capabilities into production environments at scale.BenefitsFlexible vacationFlexible work optionsPhysical and mental well‑being programsRegularly scheduled virtual fitness classesMentorship programs, training, and career developmentRecognition programs and referral rewardsHackathonsSalaryCompetitive salary based on experience and qualifications.#J-18808-Ljbffr