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Labelbox
San Francisco, CA, United States
Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-
Job Source: LabelboxAttentive
San Francisco, CA, United States
About Attentive: Attentive is the AI marketing platform for leading brands, designed to optimize message performance through 1:1 SMS and email interactions. Infusing intelligence at every stage of the consumer's purchasing journey, Attentive empowers businesses to achieve hyper-personalized communication with their customers on a large scale. Leve
Job Source: AttentiveHive
San Francisco, CA, United States
About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive al
Job Source: HiveChime
San Francisco, CA, United States
About the Role In this role, you'll be part of the Data Science/Machine Learning and Platform team, responsible for developing innovative data solutions at Chime. You will work across teams at Chime to ensure that the data-related needs of various business domains such as fraud, credit, marketing, and product are met. You will own strategic initia
Job Source: ChimeClari
San Francisco, CA, United States
Clari’s Revenue platform gives forecasting accuracy and visibility from the sales rep to the board room on revenue performance - helping them spot revenue leak to answer if they will meet, beat, or miss their sales goals. With insights like this, no wonder leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive reve
Job Source: ClariLuminai
San Francisco, CA, United States
At Luminai we develop technology to reliably migrate and manage enterprise business processes with scalable automation infrastructure, using safe and effective AI. We're working hard on helping people spend less time on repetitive monotonous tasks that a computer could do, and instead let them focus on things that matter. Luminai is revolutionizin
Job Source: LuminaiRemedy Robotics
San Francisco, CA, United States
About Remedy Robotics Cardiovascular disease is the #1 cause of morbidity and mortality in the world. Much of this could be prevented with better access to specialist care. Take stroke as an example: any delay in treatment can lead to permanent disability or death. However, due to a lack of specialist surgeons, the most effective intervention can o
Job Source: Remedy RoboticsSPAN Inc
San Francisco, CA, United States
The Role We aim to establish the Span panel as the center of home energy and the backbone of the renewable distributed grid. Analytics and ML are essential tools to develop features for the smart, green, energy-efficient home of the future. Span’s unique ability to monitor and control individual circuits opens up a new avenue for proactive whole-ho
Job Source: SPAN IncSan Francisco, CA, United States
Join Tubi (www.tubi.tv), Fox Corporation's premium ad-supported video-on-demand (AVOD) streaming service leading the charge in making entertainment accessible to all. With over 200,000 movies and television shows, including a growing library of Tubi Originals, 200+ local and live news and sports channels, and 455 entertainment partners featuring content from every major Hollywood studio, Tubi gives entertainment fans an easy way to discover new content that is available completely free. Tubi's library has something for every member of our diverse audience, and we're committed to building a workforce that reflects that diversity. We're looking for great people who are creative thinkers, self-motivators, and impact-makers looking to help shape the future of streaming.
About the Role: The Machine Learning team at Tubi works on core algorithms that define the entire experience of its 33+ million users. We work on different areas such as recommendations, search, content understanding and ads. We are searching for a talented and motivated Machine Learning Engineer to join our team. In this role you will work with a variety of machine learning algorithms, from traditional models to cutting-edge LLM technologies, to address relevant problems. You need a strong background in machine learning, hands-on development skills to tackle some of the challenges in a fast-paced dynamic environment, and the ability to collaborate well in a cross-functional setting. The tech stack you will be working with is Spark, Scala, and Python, including PyTorch.
Responsibilities:
Design and build end-to-end machine learning models from analysis through production
Conduct A/B tests to prove your ideas and share your learnings from the experiment results
Collaborate with Product and backend engineering teams to ship high-impact features
Requirements:
6+ years of experience in machine learning engineering with production systems using Scala, Python, and Apache Spark
Experience owning recommendation or search models
MSc or PhD in Computer Science, Statistics, Applied Mathematics, Physics, or other technical field. PhD preferred
#LI-Remote # LI-MQ1
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.
California, New York City, Westchester County, NY, and Seattle, WA $192,000—$274,000 USD Colorado and Washington (excluding Seattle, WA) $172,000—$245,000 USD 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 the birth, adoption, surrogacy, or foster placement of a child. 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.
Tubi is proud to be an equal opportunity employer and considers qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with arrest and conviction records. We are an E-Verify company.
Email Alert for Staff Machine Learning Engineer jobs in San Francisco, CA, United States
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