Senior Machine Learning Engineering Manager Search
Senior Machine Learning Engineering Manager Search
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$ 239700 - 342500
1 Vacancy
Job Description
Tubi is a global entertainment company and the most watched free TV and movie streaming service in the U.S. and Canada. Dedicated to providing all people access to all the worlds stories Tubi offers the largest collection of ondemand content including over 250000 premium movies and TV episodes and over 300 exclusive originals. With a passionate fanbase and over 80 million monthly active viewers the company is committed to putting viewers first with free accessible entertainment for all.
About the Role:
Machine Learning at Tubi drives personalization and recommendation across the app. In this role you will lead the team that owns both the Search and Content Understanding initiatives. Youll have the opportunity to work with cuttingedge deep learning and LLM technologies to drive the next generation of contentaware recommendation. The tech stack you and your team will be working with is Spark Scala Python and Tensorflow.
This is a hybrid role in our San Francisco office.
What Youll Do:
- Empower your team to achieve a high level of technical productivity reliability and simplicity
- You and your team will:
- Own search endtoend including R&D prototyping data pipelines production models and experimentation
- Drive content understanding data products from R&D prototyping data pipelines and production models using both LLMs and classical embedding techniques
- Partner closely with teams across the company to propose and drive integrations of content understanding with applications including content ranking cold starting content acquisition advertising and more.
- Partner closely with ML Infra Data Engineering Data Science Product and other machine learning teams to create and maintain crossfunctional roadmaps
- Help the machine learning engineers on your team advance in their careers and grow through 1:1s and mentoring
- Partner with Tubis Talent Acquisition team to attract and hire toptier engineering talent
Your Background:
- 7 years of experience in machine learning engineering with production systems using Python Scala & Apache Spark
- 2 years of experience leading/managing a team of machine learning engineers
- Experience owning largescale realtime recommendation or search models
- MSc or PhD in Computer Science Statistics Applied Mathematics Physics or related field. PhD preferred
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 listed annually below. This role is also eligible for an annual discretionary bonus longterm 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.
California Compensation
Base $239700 to $342500 / year) Bonus LongTerm Incentive Plan Benefits
#LIMQ1 #LIHybrid
Tubi is a division of Fox Corporation and the FOX Employee Benefits summarizedherecovers the majority of all US employee benefits.The following distinctions below outline the differences between the Tubi and FOXbenefits:
- For USbased nonexempt Tubi employees the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.
- For all salaried/exempt employees in lieu of the FOX Vacation policy Tubi offers a Flexible Time off Policy to manage all personal matters.
- For all fulltime 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 FOXs shortterm disability policy. This time is 100 paid through a combination of any applicable state city and federal leaves and wagereplacement programs in addition to contributions made by Tubi.
- For all fulltime regular employees Tubi offers a monthly wellness reimbursement.
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.
Required Experience:
Manager
Employment Type
Full-Time
