Applied Scientist II – Amazon – Toronto, ON (Canada)
Amazon’s Sponsored Products advertising business is rapidly growing, and we are looking for an Applied Scientist II to join our team in Toronto, ON. As a member of the Scalable Controls team, you will develop cutting-edge models to enhance performance, forecast advertiser impacts, and empower advertisers to scale with impactful features. If you have a startup mentality, a sense of ownership, and a passion for building high-quality products, this role is perfect for you.
In this full-time position, you will collaborate with business leaders, software engineers, and fellow scientists to deliver algorithmically managed ads using machine learning (ML), deep learning (DL), and R techniques. You’ll take ownership of significant products from conception to launch, bridging the gap between experimental research and production through efficient computational pipelines. The challenges are substantial, but the rewards are equally remarkable.
About the Role
As an Applied Scientist II, you will be crucial in enhancing Amazon’s advertising marketplace. By leveraging machine learning and analytical techniques, you’ll develop scalable solutions to tackle complex business challenges. Your responsibilities include building robust data analysis pipelines, model development, validation, and implementation processes.
You will collaborate with software engineering and product teams to implement new features, identify opportunities for model improvements, and work alongside scientists within Amazon’s Ads organization to push the boundaries of advertising technology. Your contributions will have a significant impact on the business’s bottom line and influence millions of customers worldwide.
Key Responsibilities
- Apply machine learning and analytical techniques to create scalable solutions for business problems.
- Collaborate with software engineering and product teams to implement models and develop new features.
- Identify opportunities for current model improvements and develop new models to benefit the business.
- Work with scientists within the Ads organization to share learnings and advance the state-of-the-art.
- Establish automated processes for data analyses, model development, validation, and implementation.
- Research and implement novel machine learning and statistical approaches.
Requirements
- 3+ years of experience in building models for business applications.
- PhD, or Master’s degree and 4+ years in Computer Science (CS), Computer Engineering (CE), Machine Learning (ML), or related field.
- Proficiency in programming languages such as Java, C++, Python, or related languages.
- Experience in areas like algorithms, data structures, numerical optimization, data mining, and high-performance computing.
Preferred Qualifications
- Strong publication record with novel research contributions.
- Experience in applying ML/DL/RL models to practical problems.
- Expertise in working with big data using tools like Spark, EMR, etc.
- Experience with AWS and data-oriented tools such as SageMaker, ElasticSearch, Airflow, etc.
- Proficiency in programming languages like Scala, Java, or Python.
- Experience in the online advertising domain, particularly ad targeting and serving.
About Amazon Advertising
Amazon Advertising sits at the intersection of eCommerce and digital advertising, providing a wide variety of advertising solutions designed to help advertisers effectively connect with customers. By leveraging machine learning and data analytics, we focus on optimizing ad delivery to enhance customer experiences. Be part of our team and drive innovation in a rapidly expanding business that serves millions of Amazon customers every day.
We are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, Amazon embraces diversity and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, disability, age, or any other legally protected status.
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How to Apply
At Amazon, we believe in fostering an inclusive, supportive, and diverse workplace where every individual is valued. We are committed to creating a respectful environment free from discrimination and harassment.
If you’re ready to be part of a dynamic team that encourages innovation, growth, and collaboration, we would love to hear from you. Join us and take the next step in your career journey – we’re excited to welcome you to Amazon.