Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.
Tubi is hiring a Senior Technical Recruiter to lead full-cycle searches across our Machine Learning team. You’ll be a strategic partner to ML leaders, building trusted relationships, shaping hiring plans, and guiding decisions with clarity, data, and precision. You’ll be joining a high-performing TA team that values people experience, structured hiring, and operational rigor. This role is remote and based in the United States. The role will be hybrid for team members located near our offices in Los Angeles, New York, or San Francisco.
Build deep partnerships with ML leaders, acting as a trusted advisor across role scoping, search strategy, and decision-making Lead full-cycle high-touch technical recruitment efforts with a strong focus on candidate experience, hiring team alignment, and talent delivery Develop and execute comprehensive sourcing strategies informed by market insights, competitive trends, and business needs Use data to monitor pipeline health, assess strategy effectiveness, and identify areas for adjustment or improvement Share insights, feedback, and search updates with key stakeholders, including executives, with clarity and consistency Maintain data integrity across platforms and ensure accurate reporting for visibility and performance tracking Recommend and implement process improvements to drive speed, structure, and hiring quality Support initiatives that strengthen Tubi’s presence within the Machine Learning community Contribute to team-wide strategic and operational projects that move the Talent Acquisition function forward
8+ years of full-cycle technical recruiting experience in high-growth tech environments, 4+ years specializing in machine learning roles A mix of in-house and agency experience is highly preferred Proven ability to source, engage, and close specialized ML talent in fast-moving, competitive markets Deep experience with structured hiring; calibrating roles, defining bar-raising criteria, and building aligned interview processes Comfortable analyzing data to evaluate pipeline health, inform decisions, and drive continuous improvement Strong communicator with the ability to build trust, influence stakeholders, and navigate ambiguity with confidence #LI-CN1 #LI-Remote Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents. High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco $135,000—$193,600 USD Colorado and Washington (excluding Seattle, WA) $122,000—$175,200 USD
For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
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