Director, Applied Machine Learning

• An experienced applied ML practitioner with a track record of delivering production models that move business metrics • Deeply comfortable owning ranking, recommendation, and curation problems from framing through iteration in production • Experienced applying both classical ML techniques and LLM-based approaches with strong technical judgment • A player-coach who can review code, guide modeling decisions, and mentor ML practitioners • Business-oriented, seeking context, tradeoffs, and outcomes rather than purely technical elegance • Comfortable managing multiple initiatives across stakeholders and timelines • A clear communicator who can translate complex ML concepts into business-relevant insights • Curious and motivated to stay current with applied ML and LLM advancements • Bachelor’s degree in Computer Science, Engineering, or a related field (advanced degree preferred) • 6+ years of experience building and deploying production machine learning models • Demonstrated experience owning ranking, recommendation, or personalization systems • Strong foundation in applied ML techniques such as learning-to-rank, embeddings, gradient boosting, and neural networks • Hands-on experience working with LLMs, including prompt engineering, fine-tuning, retrieval-augmented generation, and evaluation • Solid software engineering skills and experience working within modern data and ML stacks • Proven ability to work cross-functionally and influence without relying on hierarchy • What Success Looks Like • Applied ML solutions that measurably improve customer experience and business outcomes • High-quality, continuously improving ranking and curation systems • Thoughtful, value-driven use of LLMs rather than novelty applications • Strong partnership with product and business teams, with ML viewed as a strategic enabler • A supported, high-performing applied ML team delivering consistent impact • At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.