Design, develop, and deploy advanced machine learning and statistical models that optimize the global supply chain, including demand forecasting and supplier risk modeling.
Own the full ML stack from modeling and MLOps to deployment and monitoring, building production systems that drive real business decisions.
Partner cross-functionally with teams in Planning, Procurement, Fulfillment, Finance, Sales, Engineering, and executive leadership to align on data requirements and drive adoption.
Help deliver near-term Fleet Intelligence initiatives including tire intelligence, utilization intelligence, and ROI measurement.
Translate product questions into clear hypotheses and develop practical machine learning models.
Partner with Product and Design to make model outputs understandable and actionable within customer workflows.
Fleetio provides a modern software platform for organizations worldwide to manage their fleet operations. The company has thousands of customers, raised $450M in Series D funding, and fosters a remote-friendly culture focused on innovation and diversity.
Design and maintain reliable, low-latency ML APIs to integrate Safety AI model outputs into cloud applications.
Build scalable data pipelines for continuous model iteration, backtesting, and online evaluation.
Optimize model artifacts for production and monitor rollout health, ensuring predictable failure modes.
Samsara builds a Connected Operations Cloud that helps physical operations use IoT data to improve safety, efficiency, and sustainability. Samsara is a recently public company with an employee-led remote culture and a long-term focus.
Build and operate the real-time inference service that scores models for the risk decision engine, with low latency and high availability.
Own model deployment infrastructure including registry, versioning, CI/CD, and staged rollouts.
Build model observability with availability, latency, error monitoring, and drift detection.
Mercury is a fintech company that builds banking services for startups. They are committed to diversity and inclusion, and are an equal opportunity employer.
Conduct applied research in machine learning, focusing on time-series forecasting and generative AI for supply chain planning.
Design and run experiments using real-world and benchmark datasets, evaluating models against strong baselines.
Collaborate with researchers and engineers to build prototypes and assess product potential for real-world applications.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. We are a global team of over 2,000 employees with a best-in-class HQ in Ottawa, Canada, and we take our culture seriously.
Drive development and implementation of advanced machine-learning algorithms for business-critical applications.
Build scalable forecasting models, including deep-learning-based approaches, to predict company top-line metrics.
Lead the end-to-end ML lifecycle from problem definition through deployment and iteration.
Atlassian builds software products that help teams all over the planet collaborate and work together. With a distributed-first culture, Atlassians have flexibility in where they work, and the company is motivated by unleashing the potential of every team.
Build and refine supply chain models to improve reliability of COGS and capacity forecasts.
Take full ownership of S&OP and variance analyses, ensuring forecasts and planning are optimized.
Develop and maintain KPI dashboards that give real-time visibility into daily, weekly, and monthly performance trends.
Grüns is a nutrition company that provides comprehensive, convenient nutrition through gummies made from 60 whole-food ingredients. The company is growing fast with a high-trust, remote-first culture that values ownership and impact.
Lead business requirements discovery sessions and execute complex product configurations to meet customer needs.
Apply advanced mathematical models, optimization techniques, and AI algorithms to improve supply chain planning.
Lead deployment workshops, guide customers on solution value, and mentor junior consultants.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2000 employees worldwide and multiple Top Employer awards, they foster a culture of innovation and collaboration.
Develop and deploy full-stack ML models for financial crime detection in transaction processing and onboarding.
Own the Dynamic Risk Score (DRS) system, scoring clients daily and driving quarantine and alert decisions.
Set up monitoring and champion-challenger frameworks to ensure best models are always in production.
Finom is a European tech startup developing an all-in-one financial B2B platform integrating banking, accounting, and invoicing. With over 300 employees and a start-up culture, they prioritize innovation, swift implementation, and employee empowerment.