Applied Scientist Ii, Amazon - Toronto, Canada - Amazon Development Centre Canada ULC

Amazon Development Centre Canada ULC

Verified Company

Toronto, Canada

2 days ago

Posted by:

Sophia Lee

beBee Recruiter

Description

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, highperformance computing

We're looking for an innovative and customer-obsessed Applied Scientist who can help us take our products to the next level of quality and performance by creating state-of-the-art models to improve our ability to optimize performance, forecast the impact of advertiser actions, and enable advertisers to scale through impactful features.

We embrace leaders with a startup mentality those who have a disruptive yet clear mission and purpose, an unambiguous owner's mindset, and a relentless obsession for delivering amazing products.

As an Applied Scientist on the Scalable Controls team, you will work alongside business leaders, other scientists, and software engineers to deliver rules that algorithmically manage ads using ML, DL, and R techniques.

You will be responsible for bridging the experimental domain with the production domain by building robust and efficient computational pipelines to scale up models, keeping the models fresh, and ensuring that real-world corner cases are handled correctly.

You'll own significant products and features from inception through launch, and will work with Product Managers, other Scientists, and Engineers to make your efforts wildly successful.

You will lead the science program for our team, providing input to strategic decision making on topics such as program direction/vision, roadmap, and staffing.

If this sounds like your sort of challenge, read on.

Characteristics indicative of success in this role:

Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.
Technically fearless: You aren't satisfied by performing 'as expected' and push the limits past conventional boundaries. Your dial goes to '11'.
Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and nonobvious solutions.
Team obsessed individual contributor: You help grow your team members to achieve outstanding results. You've learned that big plans generally involve collaboration and great communications.
Quality obsessed: You recognize that professional scientists build high quality model development and evaluation frameworks to ensure that their models can provably meet launch criteria, or efficiently iterate in the framework until they do.
Humbitious: You're ambitious, yet humble. You recognize that there's always opportunity for improvement. You use introspection and feedback from teammates and peers to raise the bar.

Key job responsibilities

Work closely with software engineering and product teams across the organization to drive model implementations and new feature creations
Work closely with business stakeholders to identify opportunities for current model improvements and new models to significantly benefit the business bottomline
Collaborate with scientists within the Ads organization as well as other parts of Amazon to share learnings move the stateoftheart forward
Establish scalable, efficient, automated processes for data analyses, model development, model validation and model implementation
Research and implement novel machine learning and statistical approaches

Toronto, ON, CAN

Strong publication record with novel research contributions
Expertise in working with bigdata in map/reduce setting using Spark, EMR, etc.
Experience with AWS and dataoriented tools such as Sagemaker, ElasticSearch, Airflow, etc.
Very good programming skills with Scala, Java, or Python
Experience in online advertising domain (particularly, ad targeting and serving)

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.