Sr. SDE, Measurement, Measurement, Ad Tech, and Data Science

5 months ago

Toronto, Canada Amazon Development Centre Canada ULC Full time
Come lead the innovation in measurement at internet scale.

What you’ll do
You will lead the design, launch, own and evolve software that computes estimated impact of ads. Advertisers will use your work every day to decide how they investment performed and where to invest next. You'll work closely with our top notch team of product managers and scientists to invent and build new approaches, and iterate on what works best. You will not only influence Engineering teams, but also science teams and product on solving hard problems that are critical for multi-billion dollar business in Amazon. 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 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 performance 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 deterministic and machine learning (ML)-based 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.

What we offer
We are a company of builders who bring varying backgrounds, ideas, and points of view to inventing on behalf of our customers. Our diverse perspectives come from many sources including gender, race, age, national origin, sexual orientation, culture, education, and professional and life experience. We are committed to diversity and inclusion and always look for ways to scale our impact as we grow. You can read more .

Amazon has 13 affinity groups, also known as employee resource groups, which bring Amazon employees together across businesses and locations around the world. Some examples include the Black Employee Network (BEN), Amazon Women in Engineering (AWE), and Indigenous@Amazon.

Key job responsibilities
Lead the technical strategy of a business critical initiative by collaborating with scientists to design, develop, launch and maintain measurement applications that compute accurate estimates of advertising impact. Work with the data to understand advertiser needs and develop most efficient ways of handling it. closely partner with science team on all aspects, from identifying and generating data to train in the face of shrinking ground truth, to inferencing to knowing we're right. Write code in languages like Scala, Java or Python. Support and improve what you built.

BASIC QUALIFICATIONS

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
-2+ year of experience as a mentor, tech lead or leading an engineering team
- 3+ years of leading design and implementation of machine learning systems

PREFERRED QUALIFICATIONS

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree or PhD in computer science or equivalent
- Experience designing high scale data pipelines

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