Head of Applied Machine Learning

Partner with Product, Marketing, Operations, and other teams to identify where ML can drive measurable value

Translate business problems into clear modeling objectives, metrics, and experimentation plans

Ensure ML efforts remain tightly aligned with business priorities and user impact

Lead the design, development, and iteration of ranking, filtering, and personalization models across Gametime’s product surfaces

Own modeling approaches, feature strategy, evaluation metrics, and offline and online experimentation

Balance relevance, revenue, and user trust when evolving ranking solutions

Manage and mentor applied ML practitioners, supporting growth in technical depth and business impact

Set high standards for modeling rigor, experimentation discipline, and production readiness

Collaborate closely with ML engineering and platform teams to ensure scalable and reliable deployment

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

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.

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.