Software Development Engineer (Level 5), Content Attribution Performance & Evaluation (CAPE)
US, WA, Seattle
Are you excited by machine learning and LLMs? Do you want to scale machine learning in Prime Video? Do you want to accelerate the pace of scientific innovation in Prime Video? Then, this job may be what you have been looking for.
The Content Localization, Understanding, and Enhancement (CLUE) organization in Prime Video is looking for a strong L5 SDE to join its Content Attribution Performance and Experimentation (CAPE) team. CAPE's owns two platforms:"
1. AI Acceleration and ML Ops: Owns a platform that aims to raise the bar on performance measurement, governance, and model management through systematic, scientific solutions and to accelerate science model development and deployment through automation and by guiding our stakeholders on the use of the platform.
2. Causal Inference: Develops statistical techniques, frameworks, datasets, and software solutions for causal inference to inform prioritization decisions, evaluate the impact of our products post-launch, make systematic operational decisions, and implement feedback loops to improve our measurement and quality gating systems
In 2025, our org is working on our mission in two specific projects PV ExAct (Causal Inference) and AI Builder Tools (AI Acceleration and ML Ops).
As an SDE in CAPE, you will work closely software engineers and scientists in Prime Video's digital supply chain. You will help your team to advance our AI Builder Tools platform to accelerate and improve science-based solutions for Prime Video along the entire life cycle or ML applications: data set annotation and SOP management (including statistical protocols), model training (including LLMs), model performance measurement, model deployment to production, automated release of model updates to production, in-production performance measurement, orchestration of data pipelines and model chains, and systematic decision-making (e.g., detecting anomalies in customer engagement and triggering corrective operational actions.
As a member of CAPE, you will work as part of an integrated team of scientists and engineers, and the scientists in your team will be your stakeholders. The AI Builder Tools platform is how our scientists are deploying and scaling their causal inference solutions to the rest of Prime Video. This means that you will be helping bring state-of-the art statistical methods and protocol to help Prime Video make scientifically rigorous investment and operational decisions.
- Being part of a team that is at the heart of state-of-the-art ML engineering and causal inference
- Working at the intersection of science and engineering to inject systematic, scientific decision making into Prime Video's decision making
- Closely collaborating with some of the brightest software engineers and scientists solving cutting-edge ML engineering problems and launching state-of-the-art
- Being part of a team that values creativity and welcomes outside of the box thinking (thinking big!).
- Being part of a team with a high emphasis on a positive work culture of collaboration.
- Being part of a team whose manager cares deeply about talent development
The Content Localization, Understanding, and Enhancement (CLUE) organization in Prime Video is looking for a strong L5 SDE to join its Content Attribution Performance and Experimentation (CAPE) team. CAPE's owns two platforms:"
1. AI Acceleration and ML Ops: Owns a platform that aims to raise the bar on performance measurement, governance, and model management through systematic, scientific solutions and to accelerate science model development and deployment through automation and by guiding our stakeholders on the use of the platform.
2. Causal Inference: Develops statistical techniques, frameworks, datasets, and software solutions for causal inference to inform prioritization decisions, evaluate the impact of our products post-launch, make systematic operational decisions, and implement feedback loops to improve our measurement and quality gating systems
In 2025, our org is working on our mission in two specific projects PV ExAct (Causal Inference) and AI Builder Tools (AI Acceleration and ML Ops).
As an SDE in CAPE, you will work closely software engineers and scientists in Prime Video's digital supply chain. You will help your team to advance our AI Builder Tools platform to accelerate and improve science-based solutions for Prime Video along the entire life cycle or ML applications: data set annotation and SOP management (including statistical protocols), model training (including LLMs), model performance measurement, model deployment to production, automated release of model updates to production, in-production performance measurement, orchestration of data pipelines and model chains, and systematic decision-making (e.g., detecting anomalies in customer engagement and triggering corrective operational actions.
As a member of CAPE, you will work as part of an integrated team of scientists and engineers, and the scientists in your team will be your stakeholders. The AI Builder Tools platform is how our scientists are deploying and scaling their causal inference solutions to the rest of Prime Video. This means that you will be helping bring state-of-the art statistical methods and protocol to help Prime Video make scientifically rigorous investment and operational decisions.
- Being part of a team that is at the heart of state-of-the-art ML engineering and causal inference
- Working at the intersection of science and engineering to inject systematic, scientific decision making into Prime Video's decision making
- Closely collaborating with some of the brightest software engineers and scientists solving cutting-edge ML engineering problems and launching state-of-the-art
- Being part of a team that values creativity and welcomes outside of the box thinking (thinking big!).
- Being part of a team with a high emphasis on a positive work culture of collaboration.
- Being part of a team whose manager cares deeply about talent development