Email Alert for
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
Cherre
New York, NY, United States
Cherre is the real estate industry's leading data management platform, powering more than $3 trillion AUM globally. Our end-to-end platform helps clients connect, transform, analyze, and act on trusted data to increase efficiencies, reduce risks, gain visibility into market trends, and make strategic moves in response to changing market conditions.
Job Source: CherrePeloton
New York, NY, United States
ABOUT THE ROLE The Personalization team at Peloton is looking for a machine learning engineer to design, build and maintain low latency and highly scalable content recommendations services for our super engaged members across multiple platforms. You will have a unique opportunity to build systems and services to provide real time recommendations a
Job Source: PelotonShaped
New York, NY, United States
We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding engineer that works on cutting-edge technologies and research, and applies them to impactful ranking problems. As one of Shaped’s early employees you will help shape our product roadmaps and engineering cultu
Job Source: ShapedJPMorgan Chase Bank, N.A.
Jersey City, NJ, United States
The Digital Intelligence team's mission is to utilize large-scale computation, true large-scale data set, and apply machine-learning to our most critical and wide-range customer products. The number of products and practice areas is large and far-reaching, i.e. we work on products that are impactful to our millions and millions of customers and hou
Job Source: JPMorgan Chase Bank, N.A.StubHub
New York, NY, United States
StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the p
Job Source: StubHubSkale Co.
New York, NY, United States
Skale are partnered with a well-funded e-commerce startup who are building a digital closet and marketplace for the second hand shopping space. Centring around sustainability and AI, they are building an online marketplace and AI shopping agent that will provide real-time re-sale value estimates to users as they shop. They're looking for a experien
Job Source: Skale Co.Syndio
New York, NY, United States
Do you want to empower organizations to fairly and equitably hire, promote, retain and compensate their employees? Syndio is a Series-C technology company committed to fairness in the workplace. Fueled by investments of $83M from Bessemer Ventures, Voyager Capital and social change organization Emerson Collective, Syndio is investing in growing our
Job Source: SyndioRobin Hood
New York, NY, United States
Join a leading fintech company that’s democratizing finance for all. Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together
Job Source: Robin HoodNew York, NY, United States
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure.
Job Description Summary:
PayPal is seeking a talented Machine Learning Scientist join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces including Venmo and PayPal. Your goal will be to optimize the customer journey through personalized, thrilling experiences.
With a strong background in Machine Learning and practical experience in building and implementing large scale predictive models to solve business problems, you will help to bring insights and identify additional opportunities from Data & Machine Learning to market.
Job Description:
PayPal is seeking a talented Senior Machine Learning Scientist join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces including Venmo and PayPal. Your goal will be to optimize the customer journey through personalized, thrilling experiences.
With a strong background in Machine Learning and practical experience in building and implementing large scale predictive models to solve business problems, you will help to bring insights and identify additional opportunities from Data & Machine Learning to market.
Your day to day
Develop and implement advanced ML models, such as graph neural networks and deep learning models, to solve critical business problems related to recommendation of PayPal products, personalizing product experiences including UI flows, and optimizing the lifecycle of the customers on the platform.
Design and deploy scalable generative AI solutions as part of the ecosystem.
Design and deploy scalable ML/AI solutions that enhance PayPal's ability to provide a seamless customer experience, by working closely with our engineering group and PayPal's Platforms organization.
Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with your insights and expertise.
What do you need to bring:
Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 3+ yrs. of relevant industry experience or PhD with 2+ yrs. of relevant industry experience
Experience in any one of Recommendation, Ranking, Product and Marketing domains a big plus
Proficient in Programming languages such as Python, SQL.
Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch. GCP/Hadoop and big data experience - an advantage
Experience leading ML projects and great track record delivering solutions with attention to detail and efficiency
Experience shipping Realtime models a big plus
Fluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insights
**We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.
Additional Job Description:
Subsidiary:
PayPal
Travel Percent:
0
-
PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
The U.S. national annual pay range for this role is
$84500 to $204600
Our Benefits:
At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:
Click Here to learn more about our culture and community.
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visithttps://www.paypal.com , https://about.pypl.comand https://investor.pypl.com.
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected].
Any general requests for consideration of your skills, please Join Our Talent Community.
Notice to Applicants and Employees who reside within New York City. Click here to view the notice.
Minimum Salary: 84500.00 Maximum Salary: 204600.00 Salary Unit: Yearly
Email Alert for Senior Machine Learning Engineer jobs in New York, NY, United States
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.