[Hiring] Head of Applied Machine Learning @Gametime United

Role Description

Gametime is seeking a Head of Applied Machine Learning to lead the development and application of machine learning and LLM-powered models that drive meaningful business impact across product, marketing, operations, and other key functions. This role is ideal for a hands-on, applied ML leader who thrives at the intersection of modeling excellence and business understanding. You will work closely with Product, Data, Engineering, and business partners to identify high-value opportunities, translate them into well-defined modeling problems, and deliver production-ready solutions. A core focus of this role will be curation, including ranking, filtering, and personalization systems that directly shape the customer experience, alongside thoughtful application of modern LLM-based techniques.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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.
• United States - Pay Range: $292,033 — $343,568 USD.

Company Description

Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.