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2626 Amazon Jobs

Senior Applied Scientist, Vertical Search

5-9 years

Bangalore / Bengaluru

1 vacancy

Senior Applied Scientist, Vertical Search

Amazon

posted 24d ago

Job Role Insights

Flexible timing

Job Description

The Amazon Search team creates powerful, customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Our Search Relevance team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide.

Amazon has grown rapidly and will continue to do so in foreseeable future. Providing a high quality search experience is a unique challenge as Amazon expands to new customers, countries, categories, and product lines. We are seeking a strong applied scientists to join the newly formed Relevance India team. This team s charter is to increase the pace at which Amazon expands and improve the search experience at launch. In practice, we aim to invent universally applicable signals and algorithms for training machine-learned ranking models and improve the machine-learning framework for training and offline evaluation that is used for all new relevance models.

Key job responsibilities
* Build machine learning models for Product Search.
* Develop new ranking features and techniques building upon the latest results from the academic research community.
* Propose and validate hypothesis to direct our business and product road map. Work with engineers to make low latency model predictions and scale the throughput of the system.
* Focus on identifying and solving customer problems with simple and elegant solutions.
* Design, develop, and implement production level code that serves billions of search requests. Own the full development cycle: design, development, impact assessment, A/B testing (including interpretation of results) and production deployment.
* Collaborate with other engineers and related teams within A9. com and Amazon. com to find technical solutions to complex design problems.
* Take ownership. Understand the needs of various search teams, distill those into coherent projects, and implement them with an eye on long-term impact.
* Be a leader. Use your expertise to set a high bar for the team, mentor team members, set the tone for how to take on and deliver on large impossible-sounding projects.
* Be ambitious. Find and eagerly tackle hard problems.
* Be curious. You will work alongside systems engineers, machine learning scientists, and data analysts. Your effectiveness and impact will depend on discussing problems with and learning from them. You will have access to the cutting-edge technologies and vast technical tools and resources of Amazon and will need to learn how to use them effectively.
* Be customer focused. Work backwards from customer problems, figure out elegant solutions, and implement them for speed and scalability. - 3+ years of building machine learning models for business application experience
- PhD, or Masters degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Peer reviewed scientific contributions in relevant field


Employment Type: Full Time, Permanent

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What people at Amazon are saying

4.7
 Rating based on 2 Scientist reviews

Likes

Learning Opportunities: The company offers a variety of skilled tasks and projects, allowing employees to develop professionally. Compensation and Benefits: Many employees appreciate the competitive pay and benefits offered by Amazon. Work Culture: Some employees find the work culture to be positive, with good facilities and a..Read More

  • Salary - Excellent
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Dislikes

While many employees appreciate aspects of working at Amazon, there are several commonly reported challenges: High Productivity Demands: Employees often face intense pressure to meet rigorous productivity targets, leading to stress and burnout. Monotonous Tasks: The repetitive nature of certain roles can lead to dissatisfaction an..Read More

Read 2 Scientist reviews

Scientist salary at Amazon

reported by 5 employees
₹20 L/yr - ₹42.5 L/yr
320% more than the average Scientist Salary in India
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What Amazon employees are saying about work life

based on 25.3k employees
62%
53%
69%
77%
Flexible timing
Monday to Friday
No travel
Day Shift
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Amazon Benefits

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Amazon Bangalore / Bengaluru Office Locations

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Bangalore Office
Brigade Gateway,8th floor, 26/1, Dr. Rajkumar Road, Malleshwaram(W), Bangalore Bangalore
560055
Bengaluru Office
Amazon, 2nd floor, Safina Towers, #3, Ali Asker Road, Vasanth Nagar Bengaluru
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