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 world's stories, Tubi offers the largest collection of on-demand content, including over 250,000 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. You'll have the opportunity to work with cutting-edge deep learning and LLM technologies to drive the next generation of content-aware 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 You'll Do:

Empower your team to achieve a high level of technical productivity, reliability, and simplicity
You and your team will:
Own search end-to-end, 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 cross-functional roadmaps
Help the machine learning engineers on your team advance in their careers and grow through 1:1s and mentoring
Partner with Tubi's Talent Acquisition team to attract and hire top-tier 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 large-scale, 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, 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.

California Compensation

Base ($237,000 to $338,000 / year) + Bonus + Long-Term Incentive Plan + Benefits

#LI-MQ1 #LI-Hybrid

Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:    For US-based non-exempt 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 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.
For all full-time, 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.

EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.

We are seeking an exceptional Machine Learning Engineering Manager, to lead our talented team of Machine Learning Engineers and play a pivotal role in shaping the direction of our product. As an experienced leader, you will contribute hands-on with coding and modeling, as well as mentor, build, and guide your team to success. Your strong practical experience will be critical as we aim to push the boundaries of technology and remain at the forefront of the rapidly evolving technological advancements in machine learning.

In this role, you will have the opportunity to make a meaningful impact on victims' lives while working with a talented interdisciplinary team of passionate individuals - with backgrounds in industry and academic research in physics, ML, neuroscience, and more. As a Machine Learning Engineering Manager, you will play a key role in shaping the direction of our product and the technologies we work with. The success of your team's output directly connects to the success of our business, providing ample opportunity for growth and advancement of you and your team.

This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs.

What you'll do:

Develop and implement career progression frameworks to guide the growth of your direct reports.
Provide mentorship, coaching, and resources to support the technical and career development of team members.
Foster a culture of continuous learning and professional growth within the organization.
Collaborate with engineering and product teams to define the strategic direction of the product for the assigned squad.
Coordinate with cross-functional partners to align on product priorities and roadmap objectives.
Lead discussions to formulate data-driven strategies that support the team's goals and objectives.
Drive advanced in-context learning initiatives leveraging LLMs to enhance team capabilities.
Fine-tune LLM models to optimize performance and accuracy in specific contexts or domains.
Implement RAG status indicators and synthetic evaluation techniques to assess model effectiveness and refine strategies accordingly.
What we look for:     2 years of experience in a people management role with direct reports, excluding tech lead positions.
Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred.
Strong proficiency with the latest Large Language Model (LLM) technologies.
High proficiency in a procedural programming language (e.g. Python).
Strong communication skills with the ability to distill complex concepts into understandable insights for non-technical stakeholders.
Strong leadership and mentorship skills and experience, with a passion for guiding and developing other team members.
Previous experience in the legal or healthcare technology fields is a plus, but not required.
Job title and level to be determined based on candidate's background.

#LI-Remote

Notice to Candidates:

EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com or @evenup.ai, or no-reply@ashbyhq.com email address.

If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include "careers-evenuplaw.com" and "careers-evenuplaws.com".

Benefits & Perks:

Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:    Choice of medical, dental, and vision insurance plans for you and your family
Flexible paid time off
10 US observed holidays, and Canadian statutory holidays by province
A home office stipend
401(k) for US-based employees
Paid parental leave
Sabbatical program
A meet-up program to get together in person with colleagues in your area
Offices in San Francisco, Los Angeles, and Toronto

Please note the above benefits & perks are for full-time employees

About EvenUp:

EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp's customers range from top trial attorneys to America's largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most. We are seeking an exceptional Machine Learning Engineering Manager, to lead our talented team of Machine Learning Engineers and play a pivotal role in shaping the direction of our product. As an experienced leader, you will contribute hands-on with coding and modeling, as well as mentor, build, and guide your team to success. Your strong practical experience will be critical as we aim to push the boundaries of technology and remain at the forefront of the rapidly evolving technological advancements in machine learning. In this role, you will have the opportunity to make a meaningful impact on victims' lives while working with a talented interdisciplinary team of passionate individuals - with backgrounds in industry and academic research in physics, ML, neuroscience, and more. As a Machine Learning Engineering Manager, you will play a key role in shaping the direction of our product and the technologies we work with. The success of your team's output directly connects to the success of our business, providing ample opportunity for growth and advancement of you and your team. This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs. What you'll do: <ul> <li>Develop and implement career progression frameworks to guide the growth of your direct reports. </li><li>Provide mentorship, coaching, and resources to support the technical and career development of team members. </li><li>Foster a culture of continuous learning and professional growth within the organization. </li><li>Collaborate with engineering and product teams to define the strategic direction of the product for the assigned squad. </li><li>Coordinate with cross-functional partners to align on product priorities and roadmap objectives. </li><li>Lead discussions to formulate data-driven strategies that support the team's goals and objectives. </li><li>Drive advanced in-context learning initiatives leveraging LLMs to enhance team capabilities. </li><li>Fine-tune LLM models to optimize performance and accuracy in specific contexts or domains. </li><li>Implement RAG status indicators and synthetic evaluation techniques to assess model effectiveness and refine strategies accordingly. </li></ul>What we look for: <ul> <li>2 years of experience in a people management role with direct reports, excluding tech lead positions. </li><li>Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred. </li><li>Strong proficiency with the latest Large Language Model (LLM) technologies. </li></ul> <ul><li>High proficiency in a procedural programming language (e.g. Python). </li></ul> <ul><li>Strong communication skills with the ability to distill complex concepts into understandable insights for non-technical stakeholders. </li></ul> <ul><li>Strong leadership and mentorship skills and experience, with a passion for guiding and developing other team members. </li></ul> <ul><li>Previous experience in the legal or healthcare technology fields is a plus, but not required. </li></ul>Job title and level to be determined based on candidate's background. #LI-Remote Benefits & Perks: Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer: <ul> <li>Choice of medical, dental, and vision insurance plans for you and your family </li><li>Flexible paid time off </li><li>10 US observed holidays, and Canadian statutory holidays by province </li><li>A home office stipend </li><li>401(k) for US-based employees </li><li>Paid parental leave </li><li>Sabbatical program </li><li>A meet-up program to get together in person with colleagues in your area </li><li>Offices in San Francisco, Los Angeles, and Toronto </li></ul> Please note the above benefits & perks are for full-time employees About EvenUp: EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp's customers range from top trial attorneys to America's largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com. EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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 world's stories, Tubi offers the largest collection of on-demand content, including over 250,000 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. You'll have the opportunity to work with cutting-edge deep learning and LLM technologies to drive the next generation of content-aware 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 You'll Do: <ul> <li>Empower your team to achieve a high level of technical productivity, reliability, and simplicity </li> <li>You and your team will: </li><ul> <li>Own search end-to-end, including R&D, prototyping, data pipelines, production models, and experimentation </li><li>Drive content understanding data products from R&D, prototyping, data pipelines, and production models using both LLMs and classical embedding techniques </li><li>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. </li></ul> <li>Partner closely with ML Infra, Data Engineering, Data Science, Product, and other machine learning teams to create and maintain cross-functional roadmaps </li><li>Help the machine learning engineers on your team advance in their careers and grow through 1:1s and mentoring </li><li>Partner with Tubi's Talent Acquisition team to attract and hire top-tier engineering talent </li></ul>Your Background: <ul> <li>7+ years of experience in machine learning engineering with production systems using Python, Scala, & Apache Spark </li><li>2+ years of experience leading/managing a team of machine learning engineers </li><li>Experience owning large-scale, realtime recommendation or search models </li><li>MSc or PhD in Computer Science, Statistics, Applied Mathematics, Physics or related field. PhD preferred </li></ul>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, 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. California Compensation Base ($237,000 to $338,000 / year) + Bonus + Long-Term Incentive Plan + Benefits #LI-MQ1 #LI-Hybrid Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits: <ul> <li>For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time. </li><li>For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters. </li><li>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. </li><li>For all full-time, regular employees, Tubi offers a monthly wellness reimbursement. </li></ul> 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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Machine Learning Engineering Manager Jobs in San Francisco, CA

Senior Machine Learning Engineering Manager SearchFebruary 28, 2025

Machine Learning Engineering ManagerFebruary 26, 2025

Machine Learning Engineering ManagerFebruary 23, 2025