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Our Mission
As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expan
Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is exp
Our Mission
As humans, there are few things more exciting than meeting someone new. At Tinder, we're inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expa
Job Req ID: 24123
About Supermicro
Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedente
Sit at the intersection of software engineering and data science.
Leverage big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models that are ready to scale as needed.
Prior experience with machine vision and machine learning in financial services is essential.
Key Res
Overview
Placement Type:
Temporary
Salary (USD):
$90.00/hr - $100.00/hr
Start Date:
07.01.2024
You'll be part of our client's internal Machine Learning Platform group that enables ML teams to iterate their projects faster, from: data engineering, labeling, training, online and offline evaluation, experimentation and more.
Bring your experti
[Full Time] Sr. Machine Learning Engineer at Veryfi, Inc. (United States) | BEAMSTART Jobs Sr. Machine Learning Engineer Veryfi, Inc. United States
Date Posted
31 Oct, 2022
Work Location
San Mateo, CA, United States
Salary Offered
Not Specified
Job Type
Full Time
Experience Required
11+ years
Remote Work
No
Stock Options
No
Vacancies
1 availa
Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies inter
Job Source: Adobe Systems
Sr. Software Engineer, Machine Learning
Palo Alto, CA, United States
The role at Tinder involves developing machine learning algorithms and systems for recommendation models utilizing deep learning techniques. Required skills include proficiency in deep learning frameworks such as TensorFlow and Keras, and programming languages like Python, Java, and Scala. Applicants need a PhD or MS in a quantitative field with at least 5 years of professional experience. Collaboration with other machine learning engineers and product managers is essential for integrating ML models to improve user experience and drive business objectives.
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
Founded in Vancouver, Canada in 2003, Plenty of Fish is acknowledged as one of the early pioneers in the online dating industry, hosting one of the largest and most diverse communities of singles. It stands among the top revenue-contributing brands within the Match Group, which includes other notable names such as Tinder, OkCupid, Hinge, and Match.com. Plenty of Fish prides itself on its impactful role in people's lives, offering a platform where millions find opportunities for dating and meaningful connections daily. The company champions a data-driven culture and fosters an environment of collaboration and innovation among its team members, emphasizing the use of AI to scale its impact across different brands and product categories.