Senior Search Engineer
2 days ago
Seeking a skilled Senior Search Engineer with expertise in machine learning to join our dynamic team at Amazon, an inclusive employer and member of the global LGBTQ+ business community myGwork.
About Amazon
Amazon is a rapidly growing company that continues to expand its services and products. As part of the Relevance India team, you will play a key role in developing innovative solutions for search and advertising technologies.
Job Overview
We are seeking a seasoned Senior Search Engineer to lead the development of high-performance, fault-tolerant distributed search systems used by millions of Amazon customers daily. Your primary responsibility will be designing, building, and deploying scalable search solutions that meet the evolving needs of our customers.
Main Responsibilities:
- Develop machine learning models for product search and improve ranking features using the latest academic research findings.
- Collaborate with engineers to implement low-latency model predictions and scale system throughput.
- Prioritize and solve customer problems with simple and effective solutions.
- Design, develop, and deploy production-level code serving billions of search requests.
- Take ownership of projects, distill customer needs into coherent initiatives, and drive long-term impact.
- Lead and mentor team members, setting a high bar for technical excellence and innovation.
- Stay curious and learn from systems engineers, machine learning scientists, and data analysts.
- Embody a customer-centric approach, working backwards from customer problems to deliver elegant solutions quickly and efficiently.
Requirements
To succeed in this role, you must have:
- A PhD or Master's degree in Computer Science, Electrical Engineering, or a related field, with 3+ years of experience building models for business applications.
- Proficiency in programming languages such as Java, C++, Python, or equivalent.
- Familiarity with algorithms and data structures, parsing, numerical optimization, data mining, parallel computing, and high-performance computing.
Preferred Qualifications
We also value candidates with:
- Experience with large-scale distributed systems like Hadoop and Spark.
- Strong fundamentals in multiple machine learning approaches and techniques.
- Exceptional problem-solving skills and algorithm design abilities.
- A strong interest in learning, researching, and creating new technologies with commercial impact.
Earn an estimated $120,000 - $180,000 per year based on location and experience.
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