Sr. MLE, Prime Video ML Platform

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies series documentaries and live sports including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV Max Crunchyroll and MGM. All customers regardless of whether they have a Prime membership or not can rent or buy titles via the Prime Video Store and can enjoy even more content for free with ads.

We are looking for a self-motivated passionate and resourceful Senior Software Development Engineer to bring diverse perspectives ideas and skill-sets to make Prime Video even better for our customers. You will be a technical leader helping to design and build the ML infrastructure that power our vision. You will tackle complex and ambiguous problems designing and delivering scalable and resilient ML platform solutions from the ground up. You will not only write high-quality maintainable code but also mentor other engineers influence our technical strategy and drive engineering best practices across the team. Your work will directly contribute to making Prime Videos operations more efficient and will set the technical foundation for years to come.

Key job responsibilities
- Building ML platform services with Tier-1 availability and performance characteristics while enabling rapid model iteration and experimentation for scientists.
- Evolving the model serving and feature delivery infrastructure to enable continuous experimentation and keep pace with innovations in state-of-the-art ML capabilities.
- Designing and scaling training pipelines real-time inference systems and feature stores that support the constantly evolving landscape of Prime Video personalization across Movies TV Shows Live Sports Linear TV and beyond.
- Leading and partnering on developing the strategic technical vision for the PV ML Platform including model lifecycle management online/offline evaluation and serving optimization.
- Partnering with Scientists Product Managers and Engineering stakeholders to translate research breakthroughs into production-grade platform capabilities.

A day in the life
As Sr. SDE you will be technical lead of an engineering team building the ML platform that powers personalization solutions at incredible scale and speed. You will be operating with state of the art technologies in distributed systems and machine learning infrastructure. You will foster a culture of innovation and excellence leading and growing talented junior engineers on your team and around PV. At the end of the day you will have the reward of seeing your platform enable ML models that delight PV customers worldwide (including yourself!)

About the team
This team is at the heart of PV personalization building the ML platform that enables scientists and engineers to rapidly develop deploy and iterate on models that understand customers preferences based on their past engagement current context and other signals. We power the infrastructure behind video discovery experiences across PV operating in a complex business/tech space that requires us to move at speed and support rapid prototyping and experimentation.

- 5 years of non-internship professional software development experience
- 5 years of programming with at least one software programming language experience
- 5 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
- Knowledge of ML frameworks including JAX PyTorch vLLM SGLang Dynamo TorchXLA and TensorRT
- Knowledge of Machine Learning and LLM fundamentals including transformer architecture training/inference lifecycles and optimization techniques

- 5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Sunnyvale - 193300.00 - 261500.00 USD annually
USA NY New York - 184900.00 - 250200.00 USD annually
USA WA SEATTLE - 168100.00 - 227400.00 USD annually