Machine Learning Engineer, Sponsored Product Demand Utilization
Description For Machine Learning Engineer, Sponsored Product Demand Utilization
About the Role
This position will be part of the Sponsored Product Demand Utilization team within the Amazon Advertising organization. You will work hands-on with scientists from day one, with exposure to all aspects of model lifecycle, and productionization of ML systems. This position is ideal for an engineer with prior MLOps or MLInfra experience looking to have exposure to science, with impact and ownership through engineering.
You will design and code, troubleshoot, and support high volume and low latency distributed systems. The solutions you create would drive step increases in coverage of sponsored ads across the retail website and ensure relevant ads are served to Amazon's customers. You will directly impact our customers' shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. This role will provide exposure to cutting-edge innovations in product search, information retrieval, Large Language Models, and Generative AI.
Key job responsibilities:
- Serve as a tech lead for defining innovative and cutting edge ML infrastructure for both inference and training
- Build POCs and infrastructure for deploying and supporting models in production. Own A/B testing of experiments using this infrastructure
- Work closely with scientists across the org to understand requirements and impact opportunities
- Work closely with product managers to contribute to our mission, and proactively identify opportunities where cutting edge ML Infra can help improve customer experience
- Stay on top of modern ML Infra and ML Ops technologies to understand where they can provide the most value within the org
- Help attract and recruit technical talent, mentor engineers and scientists in the team
An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and ads recommendation systems.
This is a highly visible role that will have a direct impact on customers and revenue!
Why you'll love this opportunity:
- Direct business impact on amazon.com and amazon app
- Vertical integration with science and engineering
- Exposure to bleeding edge model optimization techniques for LLMs
- Challenging technical space with tight realtime constraints
- Large scale impact on revenue
- Latitude to innovate on greenfield projects
Responsibilities For Machine Learning Engineer, Sponsored Product Demand Utilization
- Define innovative ML infrastructure for inference and training
- Build POCs and infrastructure for deploying and supporting models in production
- Own A/B testing of experiments
- Work closely with scientists and product managers
- Stay updated on modern ML Infra and ML Ops technologies
- Attract and mentor technical talent
Requirements For Machine Learning Engineer, Sponsored Product Demand Utilization
- 3+ years of non-internship professional software development experience
- 3+ years of programming with at least one software programming language experience
- 3+ years of leading design or architecture of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience with common machine learning techniques such as pre-processing data, training, and evaluation
- Experience in building large-scale machine-learning MLOps infrastructure for inference, eval or other parts of the model lifecycle
Benefits For Machine Learning Engineer, Sponsored Product Demand Utilization
- Medical Insurance
- 401k
- Equity
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