Software Development Engineer Fixed Term Contract Amazon Music jobs at Amazon in Estonia, Tallinn

Key job responsibilities
As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science.A day in the life
• All of our internships offer a competitive stipend/salary
• Interns are paired with an experienced manager and mentor(s)
• Interns receive invitations to different events such as intern program initiatives or site events
• Interns can build their professional and personal network with other Amazon Scientists
• Interns can potentially publish work at top tier conferences each year
Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.Please note these are not remote internships.

- Experience programming in Java, C++, Python or related language
- Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields

Key job responsibilities
- Work backwards from the needs of our customers, translating complex functional and technical requirements into detailed software architecture and design
- Implement and deploy highly distributed, resilient and scaleable services

- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in professional, non-internship software development
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design

- Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Ability to take a project from scoping requirements through to actual launch of the project
- Experience building workflows involving large dataset and/or machine learning models in production using distributed computing and big data processing concepts and technologies.
- Experience building complex software systems that have been successfully delivered to customers
- Highly proficient in both spoken and written Estonian and English (Common European Framework of Reference C1)
- Master's Degree in Computer Science or equivalent experience

Please note this position is a Fixed Term Contract role until January 2027.Key job responsibilities
- Work backwards from the needs of our customers, translating functional and technical requirements into detailed software architecture and design.
- Implement and deploy highly distributed, resilient and scalable services.A day in the life
Please note this position is a Fixed Term Contract role until January 2027.

- Bachelor's degree in computer science or equivalent work experience
- Professional software development experience
- Experience programming with at least one software programming language

- Knowledge of Computer Science fundamentals in object-oriented design
- Experience in data structures, algorithm design, problem solving, and complexity analysis
- Experience communicating and partnering with stakeholders

Key job responsibilities
1. Build and lead a team of application security engineers focused on security reviews and automation
2. Establish robust processes for application security reviews, including Generative AI solutions
3. Lead threat modeling sessions that identify and address critical security risks
4. Partner with business units and stakeholders to resolve security issues, prevent recurrence, and reduce the friction for builders to develop secure services.
5. Partner with business units and stakeholders to implement security paved paths simplifying secure development practices7. Foster a team culture of continuous learning and security excellence
8. Communicate security strategies effectively to technical and business stakeholdersA day in the life

- Bachelor's degree
- 3+ years of programming in Python, Java, or similar object oriented language experience
- 3+ years of experience in application security with any combination of the following: threat modeling experience, secure design reviews, code reviews, security reviews, identity and access management

- Experience with AWS products and services
- Experience implementing security solutions at the business division level or equivalent
- Experience leveraging Large Language Models (LLMs) to automate and scale security, with a strong understanding of associated security risks and mitigation strategies
- Strong verbal and written communications skills

Key job responsibilities
* Lead a team of scientists and engineers developing innovative ways to experience and discover audio across Amazon Music’s vast catalog
* Build and scale services to serve tens of millions of customers
* Contribute to the vision, goals, and technical strategy in alignment with customer needs and market opportunities
* Mentor scientists and engineers, provide leadership on complex technical issues, design trade-offs, and feature and schedule prioritization
* Experiment with and launch new features that improve content engagement and measure their impact
* Manage the day-to-day activities of the engineering team within an agile environment* Partner with senior leaders to develop strategic vision for Amazon Music's listening experienceA day in the life
You will lead a team of applied scientists and engineers crafting delightful audio experiences. You'll leverage AI and machine learning to revolutionize how customers engage with audio content. Your day will involve leading large-scale, customer-facing services that directly impact the listening experience across multiple platforms. You'll collaborate with cross-functional teams, including product managers, engineers and applied scientists. With your expertise in cloud architectures and distributed systems, you'll ensure these solutions are scalable, reliable, and responsible, while continuously innovating to deliver personalized experiences that work seamlessly across devices and platforms.

* Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent experience
* Experience applying machine learning to solve complex problems for large-scale applications
* Experience leading applied science and engineering teams in a software development organization
* Highly proficient in both spoken and written English (Common European Framework of Reference C1)

* Experience delivering science solutions for customer-facing features
* Experience partnering with product and program management teams
* Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Natural Language Processing and related applications
* Excellent written and verbal communication skills, with the ability to present complex technical information in a clear and concise manner to a variety of audiences
* Familiarity with AWS/cloud technologies
* Familiarity with Deep Learning and machine learning frameworks such as SageMaker, PyTorch or TensorFlow

You will be able to translate a big vision for the future into a simple set of features we can launch iteratively and experimentally, and know how to build support for your vision while taking input from other creative contributors. This role will own underlying discovery technologies for music and podcasts that power many of the key features in our apps.
Key job responsibilities
- Partner with key stakeholders to define and track the product roadmap and key performance indicators (KPIs)
- Translate customer insights and business strategy into clearly defined product requirements- Develop crisp and detailed business requirements and user stories that can be used to create product specifications, design and architecture- Manage day-to-day cross-functional relations, to ensure the product roadmap and prioritization are understood and implemented effectively- Operate with a high degree of autonomy and ambiguityA day in the life
In the morning, you will run prioritization discussions with your local team, do tech deep dives and help launch experiments. You will do product discovery to understand internal and external customer problems and write think big documents to propose ambitious solutions and ideas. You will lead them through strategy and execution to deliver value for Amazon Music. You will celebrate wins with the team. Often, you will interact with internal customers on the US West Coast or cross-org attend team meetings. You will travel to our San Francisco/Seattle offices to meet partners roughly twice a year.

- Proven experience in technical product management
- Experience defining and delivering media, mobile or web products
- Experience with end to end product delivery
- Bachelor's Degree or equivalent work experience in a technical, computing or science field
- Experience owning roadmap strategy and definition
- Experience owning feature delivery and tradeoffs of a product
- Highly proficient in both spoken and written English (equivalent to Common European Framework of Reference C1)