05. Machine Learning Engineer /Manager/ Teah Lead – US Full-time

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.