Software Engineer Leadership, Machine Learning RecSys
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Job description
Experteer Overview In this role you will apply machine learning to build and scale features across mobile and web platforms that connect billions of people. You work within cross-functional teams to deliver impactful AI-powered experiences and drive product strategy through data-driven insights. You will tackle complex technical problems, deploy models, and contribute to responsible AI practices at scale. This is an opportunity to shape user experiences and advance social technology at a world-class company. Compensation / Benefits * Collaborate with product, design, operations, and infrastructure to create innovative application experiences * Implement reusable UI components and interfaces with back-end services * Develop and optimize high-quality, efficient software across multiple languages * Lead complex technical or product initiatives and provide guidance to peers * Architect scalable systems that enable complex applications and growth * Identify and resolve performance and scalability issues across components * Own end-to-end features or systems with deep technical accountability * Work with various coding languages and technologies Tasks * Bachelor's degree in a relevant field and 4+ years in software engineering (PhD reduces experience requirement to 3+ years) * 3+ years of experience in ML, recommender systems, AI, or related field * Experience deploying ML models from inception to business impact * Proficiency in C/C++ and Java or scripting languages such as Python, Perl, PHP, or shell; and Python/JavaScript/Hack * Experience leading major initiatives and defining technical direction * Proven design/deployment of recommendation systems (collaborative filtering, content-based, hybrid) * Hands-on experience with large language models (LLMs) like BERT, GPT, including fine-tuning or production use * Experience delivering reliable, high-quality software and using data to explain problems and propose solutions * Demonstrated technical leadership and collaboration with cross-functional teams Key requirements * Equal Employment Opportunity * accommodations for qualified individuals with disabilities
Requirements
reusable issues across components * Own end-to-end features or systems with deep technical accountability * Work with various coding languages and technologies Tasks * Bachelor's degree in a relevant field and 4+ years in software engineering (PhD reduces experience requirement to 3+ years) * 3+ years of experience in ML, recommender systems, AI, or related field * Experience deploying ML models from inception to business impact * Proficiency in C/C++ and Java or scripting languages such as Python, Perl, PHP, or shell; and Python/JavaScript/Hack * Experience leading major initiatives and defining technical direction * Proven design/deployment of recommendation systems (collaborative filtering, content-based, hybrid) * Hands-on experience with large language models (LLMs) like BERT, GPT, including fine-tuning or production use * Experience delivering reliable, high-quality software and using data to explain problems and propose solutions * Demonstrated technical leadership and aaaaaaaaaaa In with cross-functional teams Key requirements * Equal Employment Opportunity * accommodations for qualified individuals with disabilities