ML Engineer

We're hiring on behalf of a Haystack partner! The Role • Lead AI/ML innovation for network planning solutions, developing and deploying production-ready demand forecasting and network optimization algorithms. • Architect scalable AI/ML infrastructure to support automated forecasting and optimization capabilities. • Drive scientific excellence by designing rigorous experiments, establishing evaluation metrics, and fostering a culture of peer review. • Mentor and develop a high-performing team of applied scientists, guiding them from research to production. • Partner with cross-functional teams including Engineering, Product, and Operations to translate AI/ML capabilities into measurable business outcomes. • Influence senior leadership by communicating complex scientific concepts and their business value with clarity. What You'll Need • 10+ years of experience building large-scale machine learning and AI solutions at internet scale. • Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent). • Proven experience in distilling informal requirements into well-defined problems and navigating ambiguity. • Demonstrated success in hiring, leading, and developing experienced scientists. • Strong background in big data, machine learning, and predictive modeling, with experience deploying AI products at scale. • Ability to build and manage complex, highly-scalable systems involving predictive models. What's On Offer • Competitive annual salary ($218,800 - $295,900) plus potential sign-on bonuses and equity. • The opportunity to work on transformative AI/ML projects with significant global impact. • A collaborative and innovative work environment with a focus on scientific excellence. • Comprehensive benefits package including health insurance, retirement plan matching, paid time off, and parental leave. Apply via Haystack today!