Gametime United - Remote Development Jobs
Requirements
• 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.
Responsibilities
• Applied ML and Business Alignment • 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 • Ranking, Curation, and Personalization • 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 • LLM and Advanced Modeling Applications • Evaluate emerging tools and techniques, recommending pragmatic adoption where they provide clear benefit • Establish best practices for testing, deploying, and monitoring LLM-powered models in production • Team Leadership and Craft Excellence • 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
Benefits
• $292,033—$343,568 USD
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