| Machine Learning Product Engineer |San Jose, CA| onsite at San Jose, California, USA |
| Email: [email protected] |
| Role: Machine Learning Product Engineer Location: San Jose, CA| onsite Note : Need profiles only who worked for any streaming video companies in this career(Suchas Like Tiktok, Netflix, Meta, etc). Dont submit without Streaming video companies domain experience. Responsibilities Understand current quality problems and how it impacts various user groups, define success metrics, and prioritize solutions based on user needs, internal as well as external factors. Work with xFN stakeholders (Policy, Legal, Operations, Engineering, Trust and Safety, human moderators, Data Science) across timezones, teams and org charts. Drive solutions to improve client feed quality, drive creator and user satisfaction, and mitigate brand risk Be a strong voice for diverse user groups, including stakeholders who may not be using client(eg : parents of some minors) Keep a keen eye on State of the art ML improvements, and think of how that can help our users. We strive to provide users with a high quality bar across our product. We expect you to take initiative to drive quality improvements across different teams, even when you are not directly responsible for their features. Keep an eye on current market trends, public perception, and external regulatory environments across different markets, and stay ahead of the curve. We intend to push boundaries by delivering industry leading experiences. Have the ability and experience to deliver a product end to end in an extremely fast moving environment. We expect you to set up processes ensuring that you can deliver on time. Have humility and a willingness to learn. This is a very fast moving industry, and the type of work you do changes significantly over short periods of time. You should have the mentality to constantly learn new things and improve Qualifications 3+ years of experience working on large feed products, especially in improving feed quality 5+ years experience in Product management. Prior experience with AI/ML is a must Ability to deep dive into technical details of ML systems with engineers, and metrics with the Data Science team Exposure to AI model Monolith Combination of deep learning and real-time data processing Collissionless embeddings - ability to adapt to changes in user preferences and behavior in real-time Prior experience with ranking and recommendation / personalization for large feeds. Experience in leading / managing a team of Product managers Experience dealing with multi-sided market place. Ability to deliver improvements requiring collaboration across multiple stakeholders in different timezones. Building trusted relationships is important. You should set up processes to ensure that things move on time, and there are no communication gaps. Experience dealing with trade offs between quality, diversity and other topline metrics Thanks & Regards, Irfan Shaik P : 972-440-0069 Agile Enterprise Solutions Inc. 2591 Dallas Parkway,Suite 300, Frisco,TX 75034. Email: [email protected] Website: www.aesinc.us.com Keywords: artificial intelligence machine learning information technology California Texas Machine Learning Product Engineer |San Jose, CA| onsite [email protected] |
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| Mon Sep 09 20:26:00 UTC 2024 |