Machine Learning Engineer Advertising in Live Events
Machine Learning Engineer Advertising in Live Events
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 129300 - 223600
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
The Advertising in Live Events (ALE) team is seeking a passionate and innovative Machine Learning Engineer (MLE) to play a crucial role in revolutionizing the live sports advertising experience through advanced ML Generative AI and intelligent agents. As our MLE you will be at the forefront of developing machine learning models autonomous agents and generative algorithms that power our worldclass live sports ad program. Your work will directly impact millions of viewers advertisers and league partners by creating unique neverbeforeseen ad experiences across multiple platforms including Prime Video Twitch and other firstparty streaming apps.
In this role you will leverage Amazons vast data resources and stateoftheart computing infrastructure to develop and optimize AI/ML systems that enhance ad relevance customization and impact. Your expertise will be instrumental in bridging the gap between traditional broadcast television advertising and the future of personalized AIdriven ad experiences in live sports.
Key job responsibilities
* Design and implement advanced ML models and generative AI systems to improve ad targeting creative generation placement and viewer experience in live sports events
* Develop autonomous agents for realtime ad optimization monitoring and decisionmaking during live events
* Lead the integration of Large Language Models (LLMs) for automated content analysis ad context understanding and creative optimization
* Create AIpowered systems for dynamic ad personalization and realtime content adaptation
* Collaborate with crossfunctional teams to integrate ML/GenAI solutions into existing ad serving measurement and campaign management technology stacks
* Develop intelligent agents for automated property management and event monitoring
* Analyze largescale datasets to derive insights and improve model performance
* Contribute to the technical roadmap for global expansion of our AIenhanced advertising products
* Mentor junior team members and promote best practices in ML GenAI and software development
A day in the life
You will work closely with product teams partner engineers and program managers to identify opportunities for AI/MLdriven improvements in our advertising system. Youll develop and deploy intelligent agents that can autonomously monitor live events and make realtime decisions about ad placement and optimization. Youll leverage generative AI to create and test new ad formats and experiences. Youll analyze viewer data ad performance metrics and realtime event information to develop models that enhance ad relevance and effectiveness. Youll also participate in crossteam initiatives to expand our AI capabilities to new regions and properties applying your expertise to solve unique challenges in different markets.
About the team
We are the Advertising in Live Events team and our mission is to build the most advanced Live Event advertising offering for brands to reach viewers in the most relevant and least disruptive way possible. Through the power of ML GenAI and autonomous agents we aim to bring intelligent digital advertising capabilities to a traditionally linear advertising space and make advertising in live sports available to all advertisers. Join us in shaping the future of AIpowered sports advertising and be part of a team thats redefining the viewer experience.
* Bachelors or Masters degree in Computer Science Machine Learning or a related field
* 3 years of professional experience in machine learning or data science roles
* Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch
* Experience in developing and deploying machine learning models in production environments
* Experience with generative AI models and LLMs
* Knowledge of autonomous agents and reinforcement learning
* Proficiency in working with largescale datasets and distributed computing systems
* Ph.D. in Machine Learning Computer Science or a related field
* Experience with realtime machine learning systems and online learning algorithms
* Experience with transformer architectures and large language models
* Practical experience in developing and deploying autonomous agents
* Familiarity with advertising technology programmatic advertising or ad serving systems
* Knowledge of cloud computing platforms preferably AWS
* Publications in toptier ML/AI conferences or journals
* Experience with multiagent systems and agentbased architectures
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
In this role you will leverage Amazons vast data resources and stateoftheart computing infrastructure to develop and optimize AI/ML systems that enhance ad relevance customization and impact. Your expertise will be instrumental in bridging the gap between traditional broadcast television advertising and the future of personalized AIdriven ad experiences in live sports.
Key job responsibilities
* Design and implement advanced ML models and generative AI systems to improve ad targeting creative generation placement and viewer experience in live sports events
* Develop autonomous agents for realtime ad optimization monitoring and decisionmaking during live events
* Lead the integration of Large Language Models (LLMs) for automated content analysis ad context understanding and creative optimization
* Create AIpowered systems for dynamic ad personalization and realtime content adaptation
* Collaborate with crossfunctional teams to integrate ML/GenAI solutions into existing ad serving measurement and campaign management technology stacks
* Develop intelligent agents for automated property management and event monitoring
* Analyze largescale datasets to derive insights and improve model performance
* Contribute to the technical roadmap for global expansion of our AIenhanced advertising products
* Mentor junior team members and promote best practices in ML GenAI and software development
A day in the life
You will work closely with product teams partner engineers and program managers to identify opportunities for AI/MLdriven improvements in our advertising system. Youll develop and deploy intelligent agents that can autonomously monitor live events and make realtime decisions about ad placement and optimization. Youll leverage generative AI to create and test new ad formats and experiences. Youll analyze viewer data ad performance metrics and realtime event information to develop models that enhance ad relevance and effectiveness. Youll also participate in crossteam initiatives to expand our AI capabilities to new regions and properties applying your expertise to solve unique challenges in different markets.
About the team
We are the Advertising in Live Events team and our mission is to build the most advanced Live Event advertising offering for brands to reach viewers in the most relevant and least disruptive way possible. Through the power of ML GenAI and autonomous agents we aim to bring intelligent digital advertising capabilities to a traditionally linear advertising space and make advertising in live sports available to all advertisers. Join us in shaping the future of AIpowered sports advertising and be part of a team thats redefining the viewer experience.
* Bachelors or Masters degree in Computer Science Machine Learning or a related field
* 3 years of professional experience in machine learning or data science roles
* Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch
* Experience in developing and deploying machine learning models in production environments
* Experience with generative AI models and LLMs
* Knowledge of autonomous agents and reinforcement learning
* Proficiency in working with largescale datasets and distributed computing systems
* Ph.D. in Machine Learning Computer Science or a related field
* Experience with realtime machine learning systems and online learning algorithms
* Experience with transformer architectures and large language models
* Practical experience in developing and deploying autonomous agents
* Familiarity with advertising technology programmatic advertising or ad serving systems
* Knowledge of cloud computing platforms preferably AWS
* Publications in toptier ML/AI conferences or journals
* Experience with multiagent systems and agentbased architectures
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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