Amazon – SDEII – ML + Big Data, Measurement and Data Science – Toronto, ON

Company: Amazon

Location: Toronto, ON

Expected salary:

Job date: Fri, 22 Nov 2024 07:17:46 GMT

Job description: DESCRIPTIONAre you excited about operating at Internet scale? Inventing how ads performance is measured in the online retail world? Growing and learning from the world class engineers? If so, we want to hear from you!Key job responsibilities
You will be responsible for designing and developing software products that will provide measurement data to a wide set of users across all of Amazon’s advertising suite. You will be able to demonstrate a variety of architectural approaches and design patterns and have a demonstrated competence in designing maintainable and scalable software written in a high-level language. You will show your ability to adapt to changing technical environments and devise creative solutions to vexing software problems. You will encounter some of the toughest and most inspiring technical challenges of your career as you build petabyte-scale services, invent new big data paradigms, and scale for extreme growth.A day in the life
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 use a combination of deterministic techniques to produce the estimates that are fastest in the industry without compromising quality. We apply the latest AWS big data on over 50 billion new events per day, operating petabyte size clusters. We constantly invent on our cutting-edge event-driven architectures to stay ahead of growing scale.About the team
This team defines and produces the metrics used by advertisers to analyze the performance of their investment in ads. The charter of this team is focused on applications responsible for computing and distributing estimated conversions. We work with a variety of systems and languages: combining AWS services like EMR, Kinesis and AWS Batch, with open source technologies such as Spark, Presto.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 languagePREFERRED 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 equivalentAmazon 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.

Amazon – SDEII – ML + Big Data, Measurement and Data Science – Toronto, ON

Company: Amazon

Location: Toronto, ON

Expected salary:

Job date: Fri, 11 Oct 2024 23:58:24 GMT

Job description: DESCRIPTIONCome 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 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.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
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 featurization to training to estimating to knowning we’re right. Write code in languages like Scala, Java or Python. 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 languagePREFERRED 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 equivalentAmazon 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.

SDEII – Big Data + ML, Measurement and Data Science – Amazon – Toronto, ON

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Company: Amazon

Location: Toronto, ON

Job description: DESCRIPTION

Come help build ML-based measurement at internet scale. This is a green field area with rapidly changing business landscape without a known solution or a pattern to follow.

We’re happy to help move within Canada or internationally, to Toronto, ON, Canada.

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 scale measurement pipelines, as well as advance supporting services and frameworks. You’ll get feedback from Principal and Senior 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 impact 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.

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
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 featurization to training to estimating to knowing we’re right. Write code in languages like Scala, Java or Python. Support and improve what you built.

We are open to hiring candidates to work out of one of the following locations:

Toronto, ON, CAN

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.
This is a job posting from Amazon for a position focused on building ML-based measurement at internet scale. The role involves designing, launching, and evolving software that computes estimated impact of Amazon ads, and working with a team of scientists and economists to invent, build, and try ML-based approaches. The job requires experience in software development and design, and a degree in computer science or equivalent. Amazon is committed to diversity and inclusion in the workplace and offers the opportunity to work in various locations, including Toronto, Canada.
Unfortunately, I am unable to access external websites or click on links. However, if you provide me with the relevant details or key points, I can certainly help you create a job description based on the information you have.

Expected salary:

Job date: Wed, 14 Feb 2024 01:15:54 GMT

SDEII – ML + Big Data, Measurement and Data Science – Toronto, ON


Company: Amazon

Location: Toronto, ON

Job description: and develop most efficient ways of handling it. closely partner with science team on all aspects, from featurization to training…, reliability and scaling) of new and current systems. 2+ years of non-internship professional software development experience…

Expected salary:

Job date: Fri, 13 May 2022 04:22:25 GMT

Apply for the job now!

SDEII – Big Data + ML, Measurement and Data Science – Toronto, ON


Company: Amazon

Location: Toronto, ON

Job description: and develop most efficient ways of handling it. closely partner with science team on all aspects, from featurization to training…, reliability and scaling) of new and current systems. 2+ years of non-internship professional software development experience…

Expected salary:

Job date: Sun, 08 May 2022 04:41:59 GMT

Apply for the job now!

SDEII – Big Data + ML, Measurement and Data Science – Toronto, ON


Company: Amazon

Location: Toronto, ON

Job description: and develop most efficient ways of handling it. closely partner with science team on all aspects, from featurization to training…, reliability and scaling) of new and current systems. 2+ years of non-internship professional software development experience…

Expected salary:

Job date: Fri, 29 Apr 2022 05:29:30 GMT

Apply for the job now!

SDEII – Big Data + ML, Measurement and Data Science – Toronto, ON


Company: Amazon

Location: Toronto, ON

Job description: and develop most efficient ways of handling it. closely partner with science team on all aspects, from featurization to training…, reliability and scaling) of new and current systems. 2+ years of non-internship professional software development experience…

Expected salary:

Job date: Wed, 20 Apr 2022 22:21:24 GMT

Apply for the job now!