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Machine Learning Engineer

Join Unbounce and help the world experience better marketing. We’re a people first, customer obsessed company focused on helping employees do their best work. Our landing page and conversion platform empowers digital marketing teams and agencies to launch campaigns, increase conversions and get significantly better ROI on their marketing spend in a way that nobody else does today.

 

We are looking for a Machine Learning Engineer to join our growing efforts in data science, machine learning, and R&D. You’ll be part of the Data Products team, working with our Data Scientists, Data Engineers and Developers to architect data pipelines, support machine learning research, and bring machine learning features to production.
 

What You’ll be Doing:

  • Working on our Data Products team, you will build and optimize data pipelines to feed research projects
  • You will help develop infrastructure for rapid machine learning feature prototyping, deployment, and evaluation with customers
  • Working with our Engineering teams, you will help build production features that leverage our machine learning technologies
  • You’ll have access to industry-leading research insights, which you’ll present and share with other teams within the organization
  • Learning and applying best practices for ETL and batch processing of database, log, image, and HTML data.
  • Learning about machine learning techniques on unstructured web page data, such as attention models, NLP techniques and ConvNets
  • An understanding of the performance and accuracy tradeoffs in machine learning
  • Participate in large-scale project planning and stakeholder education
  • Learn about feature value by participating in user research and experimentation
  • Gain experience in ML Ops by architecting, optimizing, monitoring, and deploying machine learning systems to production

 

A Little Bit About You:

  • 5 or more years of experience working with machine learning and data engineering
  • Relational databases (we principally use MySQL and Postgres)
  • An understanding of web technologies, including APIs (we use RESTful and GraphQL)
  • Big Data ETL (we principally use PySpark)
  • Programming with Python and the associated data science/machine learning packages (e.g. scikit-learn, pandas, xgboost, numpy, scipy)
  • Linux administration and command line tools
  • Agile development, version control, and code review processes
  • Cloud infrastructure, preferably AWS, especially S3, and CloudFormation
  • Running code in Docker environments
  • You have experience building data pipelines
  • You have experience deploying machine learning models in production, and with production architecture, monitoring and logging
  • You can communicate clearly and empathetically with developers, product managers, and UX designers to explain the abilities and limitations of ML systems
  • You are not afraid to push back to find the best solution and are equally unafraid to have your ideas challenged
  • You have experience with SDLC including source control, build automation, and unit testing
  • You relish working in a fast-moving, challenging, and collaborative environment
  • You love breaking down large, difficult problems, acquiring new knowledge, and iterating


 

What’s in it for You:

  • A remote friendly office with flexible hours - for this role we will consider all applications from those based in Canada with the option to work from our Vancouver office
  • 4 weeks vacation plus Christmas Holiday Closure - you're entitled to the week of Christmas off with pay through to and including Jan 1st 
  • Vacation bonus - $1,000.00
  • 12 Personal Wellness Days (This includes: Personal day, Moving day, Sick day, etc)
  • Health and Wellness budget  - $500.00
  • Networking budget - $500.00
  • A paid day off for your birthday
  • One paid Volunteer day per year
  • All Unbouncers are encouraged to dedicate 10% of their time to Pro-D time



 

Unbounce Welcomes Everyone to Apply

At Unbounce we celebrate everyone and their multiple intersecting identities. We believe a panorama of experience allows us to make better decisions together and inspires innovation so that we can better serve our customers and community. Our goal is for every Unbouncer to feel deeply connected to their team through mutual value, respect, and understanding.

 

Please let us know if you require any accommodations or support during the recruitment process.

 

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