AmazonPosted 4mo ago

Machine Learning Engineer II, EU INTech - Exports, Emerging and Expansions

Machine Learning Engineer II, EU INTech - Exports, Emerging and Expansions at Amazon scores 95 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

IN, KA, Bengalurumidfull-time

AI in this role

nlp

Are you obsessed with solving challenging problems? Do you have exceptional software engineering skills? Are you interested into Search Engine Technologies, Document Retrieval and Machine Learning? Are you constantly looking for ways to improve your skills, your software, and your organization?

Amazon is looking for a passionate, talented, and inventive Machine Learning Engineer to join our E3 team. You will work with the largest online retail search application in the world, both in terms of users, catalogue size, and computing resources, and your work will directly impact millions of customers. You will collaborate with recognized experts in science and engineering to apply algorithms and ML models.

You will:
- Work on projects in Machine Learning in Search space to create highly innovative customer experiences;
- Process and analyze large amounts of data to discover patterns, find opportunities, and contribute to seize these opportunities;
- Work closely with Machine Learning experts to validate models via statistically rigorous experiments across millions of customers;
- Work closely with Scientists to build scalable prototypes for testing. Integrate successful models and algorithms in production systems at very large scale;
- Work with technical and non-technical business owners to get things done;
Our team is spread across Luxembourg, Bengaluru, and Hyderabad.

Basic qualifications

- 2+ years of non-internship professional software development experience
- Bachelor's degree in computer science or equivalent
- Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles
- Experience building and improving complex software systems for end users.
- Experience with Big Data, NoSQL, Map-Reduce.
- Solid knowledge of software engineering best practices.

Preferred qualifications

- Knowledge of machine learning approaches and algorithms
- Experience on highly concurrent, high throughput systems and knowledge of complex distributed systems
- Experience in more than one major programming language (C++, Java, or related) and at least one scripting language (Perl, Python, or equivalent)
- Experience or interest in Document Retrieval (indexing), Search Engine Technologies (e.g. Lucene), or Document Understanding (Natural Language Processing) is desirable but not mandatory.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Nlp

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Nlp. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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