Applied Scientist Amazon Music Search jobs at Amazon in India

Key job responsibilities

- 3+ years of non-internship professional software development experience
- 2+ years of Apple platform development experience
- 3+ years of programming with at least one software programming language experience
- Application development experience on iOS with swift and Kotlin

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
Design, develop, evaluate and deploy, innovative and highly scalable ML models
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenanceLeading projects and mentoring other scientists, engineers in the use of ML techniques

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience applying theoretical models in an applied environment

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

• 2+ years of network and operating system support experience
• Bachelor's degree in computer science or equivalent, or 2+ years of technical support experience
• 2+ years of Telephony related experience, ie SIP, RTP, Voip, Open source voice services

• Experience troubleshooting telephony systems
• Experience with open-source VoIP systems like Asterisk, Free-Switch, SIPp, SER
• Operational experience in a 24/7 production environment
• Experience working as part of a global team

Key job responsibilities
Advise senior manager and directors on technical direction for the organizationsBreak down complex software project into parallel work that can be performed by you and other SDEs and then reassembled successfully into a cohesive launchParticipate in the hiring process as well as mentor others - improving their skills, their knowledge of your software, and their ability to get things done.

- 10+ years of non-internship professional software development experience
- 10+ years of programming with at least one software programming language experience
- 8+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 10+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of computer science fundamentals in object-oriented design

We use Scrum, test-driven development, and continuous deployment to deliver projects based on realistic timelines and resource constraints.If this sounds interesting, we’d love to hear from you.Key job responsibilities
- You will build new software services and tools from scratch and improve existing systems
- You will create simple solutions for complex business and operational problems
- You will design and implement scalable solutions and solve complex problems
- You will learn how to build robust solutions that operate at Amazon scale
- You will have the opportunity to design systems, take mission critical decisions on how we design production systems, what technology to use and how to solve problems
- You will get opportunity to work with senior technical leaders to review and improve your designs and solutions

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key Responsibilities
· Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders.
· Develop fair predictive models to understand important business and people-centered outcomes
· Productionize ML and science models at the scale of Amazon

- 3+ years of building machine learning models for business application experience
- PhD, or Master's 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

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

An ideal candidate will be an expert in the areas of machine learning, operations research, and statistics. With expertise in applying theoretical models in an applied environment relying heavily on the latest advances in machine learning, optimization, stochastic modeling, and engineering. The candidate will be expected to work on numerous aspects, such as feature engineering, modeling, probabilistic modeling, hyper-parameter tuning, scalable inference methods and latent variable models. Challenges will involve dealing with very large data sets and requirements on throughput.Key job responsibilities
- Create experiments and prototype implementations of new learning algorithms and prediction techniques

- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 3+ years of building machine learning models or developing algorithms for business application experience
- 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in professional software development
- Experience implementing algorithms using toolkits and self-developed code

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 5+ years of building machine learning models or developing algorithms for business application experience
- Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members