Machine Learning Engineer for Scalable Search Solutions
4 weeks ago
Unlock the power of search at Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
This role is perfect for a seasoned machine learning engineer looking to scale their skills in developing cutting-edge search solutions. As a key member of the Amazon Search team, you will design, develop, and deploy high-performance distributed search systems that serve millions of customers every day.
The Search Relevance team focuses on maximizing the quality and effectiveness of the search experience for visitors to Amazon websites worldwide. With Amazon's rapid growth, providing a high-quality search experience is a unique challenge as the company expands to new customers, countries, categories, and product lines.
In this role, you will have the opportunity to:
- Build machine learning models for Product Search
- Develop new ranking features and techniques based on the latest research findings
- Propose and validate hypotheses to drive business and product roadmaps
- Collaborate with engineers to optimize model predictions and scale system throughput
- Design, develop, and implement production-level code serving billions of search requests
You will be working alongside systems engineers, machine learning scientists, and data analysts to find innovative solutions to complex design problems. To succeed in this role, you should have a strong passion for problem-solving, excellent communication skills, and a customer-centric approach.
To be considered for this position, you should have:
- 3+ years of experience building machine learning models for business applications
- PhD or Master's degree with 6+ years of applied research experience
- Experience programming in Java, C++, Python, or related languages
- Expertise in neural deep learning methods and machine learning fundamentals
We estimate the annual salary for this role to be around $180,000 - $220,000, depending on location and experience.
Amazon offers a comprehensive benefits package, including health insurance, retirement planning, and paid time off. Additionally, you will have access to professional development opportunities and the chance to work on challenging projects with a diverse team of experts.
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