高级机器学习算法工程师
100-200K·14薪上海市硕士>10年
职位描述
Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Responsibilities:
1. Drive technical optimization of AD video auto-generation by using AI GC technology;
2. Extract video features and apply them to the CVR prediction model of video ads, to improvethe performance of the model;
3. Analyze the user conversion funnel data model in video ads, find the bottleneck in theprocess that affects overall video ads conversion performance;
4. Build machine learning models, perform proof-of-concept, experiment, optimize & deploymodels into production;
5. Establish scalable, efficient, automated processes for data analysis, machine-learning modeldevelopment, model validation and serving.Requirements and skills:
1. Master's or doctoral degree in statistical machinelearning/computer/automation/mathematics related fields;
2. 8+ years working experience in the engineering teams that build large-scale ML-driven userfacingproducts;
3. Experience with ML modeling techniques and approaches like transformers, self supervisedpre-training, generative modeling, LLMs, etc.
4. Have experience in data analysis, build data pipelines, forecasting and optimization;
5. Have experience in the whole process of A/B testing, include: experiment design, monitoring,analysis, decision-making;
6. Proficient experience with C++/java/Python backend programing skills, with good knowledgeof data structures/algorithms;
7. Smart and have strong project promotion ability;
7. Good team communication skills.Preferred:
1. People with an open mindset and would like to explore new territory of technology and godeep on domain knowledge;
2. Ability to think outside-the-box and challenge conventional wisdom.Recruitment Process and Others Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/ [Applied in Coupang.Jobs] Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.
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