11 Oct
Amazon
Toronto
Machine Learning Engineer II, Measurement and Data Science
Come help build ML-based measurement at internet scale. This is a green grass problem without a known answer or a pattern to follow.
What you’ll do
You will design, launch, own and evolve software that computes estimated impact of Amazon ads. Hundreds of thousands advertisers will use your work every day to decide where to invest next. You'll work closely with our top notch team of scientists and economists to invent, build and try ML-based approaches, and iterate on what works best. You'll help define not only how we compute the estimates, but how do we know we're right. These are really hard questions that are unique to Amazon, so there isn't a footprint you can copy.
You'll build petabyte-scale measurement pipelines, as well as advance supporting services and frameworks. You'll get feedback from principal and sr engineers, as well as help junior engineers grow.
What we do
We enable advertisers to optimize ad spend and allocate budgets effectively by providing accurate, actionable and timely conversion measurement for all Amazon ad products. We're in the early stages of work, where we invent and try a lot of new approaches. We use a combination of machine learning (ML)-based and deterministic techniques to produce the estimates that are fastest in the industry without compromising quality. We constantly invent on our cutting-edge event-driven architectures to stay ahead of growing scale.
The charter of this team is focused on computing estimated conversions. We own the math, the algorithms, and the design. We work with a variety of technologies, such as AWS EMR, Batch, Scala, Spark and PyTorch. Science is invented in the same team.
Key job responsibilities
1. Design, develop, launch and maintain measurement applications that compute accurate estimates of advertising impact.
2. Work with the data to understand advertiser needs and develop most efficient ways of handling it.
3. Closely partner with science team on all aspects, from featurization to training to estimating to knowing we're right.
4. Write code in languages like Scala, Java or Python.
5. Support and improve what you built.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
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▶️ Machine Learning Engineer II, Measurement and Data Science
🖊️ Amazon
📍 Toronto