Machine Learning Engineer

Application Instructions

𝗬𝗼𝘂 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗿𝗲𝗱𝗶𝗿𝗲𝗰𝘁𝗲𝗱 𝘁𝗼 𝘁𝗵𝗲 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗿'𝘀 𝗰𝗮𝗿𝗲𝗲𝗿 𝗽𝗮𝗴𝗲 𝗶𝗻 𝗮 𝗻𝗲𝘄 𝘄𝗶𝗻𝗱𝗼𝘄 𝘁𝗼 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝘆𝗼𝘂𝗿 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗖𝘆𝗢𝗽𝘀𝗣𝗮𝘁𝗵, a platform built for high-priority, time-sensitive job opportunities.

• 𝗖𝗼𝗺𝗽𝗮𝗻𝘆 -𝗔𝗺𝗮𝘇𝗼𝗻 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀
• 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁, 𝗣𝗿𝗶𝗺𝗲 𝗩𝗶𝗱𝗲𝗼 - 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 𝗦𝗰𝗶𝗲𝗻𝗰𝗲
• USA, CA, Sunnyvale - 171,600.00 - 222,200.00 USD annually
• USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
• USA, NY, New York- 183,800.00 - 248,700.00 USD annually

• 𝗞𝗲𝘆 𝗷𝗼𝗯 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀
• - Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;
• - Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;
• - Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;
• - Effectively communicate technical and non-technical ideas with teammates and stakeholders;
• - Stay up-to-date with advancements and the latest modeling techniques in the field;
• - Publish your research findings in top conferences and journals.

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝘁𝗲𝗮𝗺

Prime Video Search Science team owns science solution to power search experience on various devices, from sourcing, relevance, ranking, to name a few. We work closely with the engineering teams to launch our solutions in production.

• 𝗕𝗔𝗦𝗜𝗖 𝗤𝗨𝗔𝗟𝗜𝗙𝗜𝗖𝗔𝗧𝗜𝗢𝗡𝗦- 3+ years of building models for business application experience
• - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• - Experience programming in Java, C++, Python or related language
• - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

• 𝗣𝗥𝗘𝗙𝗘𝗥𝗥𝗘𝗗 𝗤𝗨𝗔𝗟𝗜𝗙𝗜𝗖𝗔𝗧𝗜𝗢𝗡𝗦- Experience using Unix/Linux
• - Experience in professional software development
• - Experience working on recommender systems or personalization within search, e-commerce, shopping, advertising or other related fields