Hireio, Inc.
05. Machine Learning Engineer /Manager/ Teah Lead - US
Hireio, Inc., Seattle, Washington, us, 98127
We are looking for passionate and talented individuals to join our team in building the next generation of search engines and recommendation systems. As a key member of our search algorithms and machine learning teams, you will have the opportunity to work with cutting-edge technologies to optimize search quality, recommendation systems, and e-commerce search experiences, impacting billions of users globally. Our team is dedicated to leveraging advanced machine learning, natural language processing (NLP), and large-scale distributed systems to enhance the user experience across various platforms.
Positions Available : Tech Lead Manager, Tech Lead, Senior Machine Learning Engineer
Location : Seattle or Bay Area
Number of Positions : Multiple openings at various levels
Level : Open to both leadership and technical roles
Responsibilities:
Search Quality Optimization : Utilize machine learning and information retrieval techniques to optimize search experiences, improving relevance, ranking, and user satisfaction. Core Algorithm Development : Build and optimize key search algorithms, including query understanding, result ranking, query recommendation, and system reliability. Recommendation System Improvement : Enhance e-commerce recommendation systems to drive better search and product discovery experiences, with a focus on personalized recommendations. Cross-Modal Modeling : Apply computer vision (CV) and NLP technologies to improve video, text, and image search capabilities. Large-Scale Data Processing : Optimize large-scale distributed systems, improving performance, computation, and data processing to ensure high throughput and low latency. Leadership & Mentorship : Provide technical leadership and mentorship to team members, drive technical strategy, and ensure the success of key projects. (For Tech Lead and Tech Lead Manager roles) Desired Candidates:
1. Tech Lead Manager
5+ years of experience in the relevant industry, with team management and project leadership experience. Ability to lead large, complex projects in a distributed system, particularly in search, recommendation, and NLP domains. Strong foundational knowledge of algorithms and systems design. Excellent communication and collaboration skills to work cross-functionally and across global teams. 2. Tech Lead
3-5 years of experience in search engines, recommendation systems, or machine learning. Expertise in NLP, ranking systems, machine learning, and distributed systems. Strong problem-solving skills and a deep understanding of algorithms and system optimization. Ability to lead technical challenges and provide direction to junior engineers. 3. Senior Machine Learning Engineer
5+ years of experience in machine learning, NLP, recommendation systems, or search engines. Proficient in programming languages such as Python, C/C++, Java, or Go. Expertise in large-scale data processing, algorithm optimization, and model training. Strong analytical and problem-solving skills to break down complex data problems and develop innovative solutions. Qualifications:
Educational Background : Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related technical field. Programming Skills : Proficiency in at least one programming language such as Python, C/C++, Java, or Go. Algorithm & Data Structures : Strong foundation in algorithms and data structures, with the ability to design and implement efficient solutions. Communication & Collaboration : Strong teamwork skills with the ability to work effectively with cross-functional teams and communicate complex technical ideas. Language Requirements : No specific language requirement, though proficiency in English is preferred. Why Join Us:
Innovation & Impact : Work on groundbreaking projects that impact millions of users and push the boundaries of search and recommendation technology. Global Team : Collaborate with talented engineers and scientists from around the world, contributing to a diverse and inclusive work environment. Career Growth : We offer opportunities for continuous learning and development in cutting-edge technologies and machine learning research. Work-Life Balance : We value work-life balance and offer flexible work arrangements to ensure our team members thrive both professionally and personally.
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Search Quality Optimization : Utilize machine learning and information retrieval techniques to optimize search experiences, improving relevance, ranking, and user satisfaction. Core Algorithm Development : Build and optimize key search algorithms, including query understanding, result ranking, query recommendation, and system reliability. Recommendation System Improvement : Enhance e-commerce recommendation systems to drive better search and product discovery experiences, with a focus on personalized recommendations. Cross-Modal Modeling : Apply computer vision (CV) and NLP technologies to improve video, text, and image search capabilities. Large-Scale Data Processing : Optimize large-scale distributed systems, improving performance, computation, and data processing to ensure high throughput and low latency. Leadership & Mentorship : Provide technical leadership and mentorship to team members, drive technical strategy, and ensure the success of key projects. (For Tech Lead and Tech Lead Manager roles) Desired Candidates:
1. Tech Lead Manager
5+ years of experience in the relevant industry, with team management and project leadership experience. Ability to lead large, complex projects in a distributed system, particularly in search, recommendation, and NLP domains. Strong foundational knowledge of algorithms and systems design. Excellent communication and collaboration skills to work cross-functionally and across global teams. 2. Tech Lead
3-5 years of experience in search engines, recommendation systems, or machine learning. Expertise in NLP, ranking systems, machine learning, and distributed systems. Strong problem-solving skills and a deep understanding of algorithms and system optimization. Ability to lead technical challenges and provide direction to junior engineers. 3. Senior Machine Learning Engineer
5+ years of experience in machine learning, NLP, recommendation systems, or search engines. Proficient in programming languages such as Python, C/C++, Java, or Go. Expertise in large-scale data processing, algorithm optimization, and model training. Strong analytical and problem-solving skills to break down complex data problems and develop innovative solutions. Qualifications:
Educational Background : Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related technical field. Programming Skills : Proficiency in at least one programming language such as Python, C/C++, Java, or Go. Algorithm & Data Structures : Strong foundation in algorithms and data structures, with the ability to design and implement efficient solutions. Communication & Collaboration : Strong teamwork skills with the ability to work effectively with cross-functional teams and communicate complex technical ideas. Language Requirements : No specific language requirement, though proficiency in English is preferred. Why Join Us:
Innovation & Impact : Work on groundbreaking projects that impact millions of users and push the boundaries of search and recommendation technology. Global Team : Collaborate with talented engineers and scientists from around the world, contributing to a diverse and inclusive work environment. Career Growth : We offer opportunities for continuous learning and development in cutting-edge technologies and machine learning research. Work-Life Balance : We value work-life balance and offer flexible work arrangements to ensure our team members thrive both professionally and personally.
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