Machine Learning Engineer

Job Description

Who we are At Criteo, our culture is as unique as it is diverse. With offices around the world, our incredible team of 2,600 Criteos collaborates to create an open & inclusive environment. We work together to achieve our goals, push boundaries, and be impactful. All of this supports us in our mission to power the world’s marketers with trusted & impactful advertising. We are looking for a highly motivated Machine Learning Engineer to contribute to the development of our Machine Learning algorithms, with a passion for the digital ecosystem. The ideal candidate will have an extensive experience in analyzing large data sets, with outstanding skills to identify and quantify opportunities for optimizations. You must thrive in a start-up environment, be proactive, detail oriented and eager to learn and keep-up with an evolving product landscape. Experience in building machine learning models is a plus.

How You'll Make An Impact

• You will contribute to building and improving the precision of our prediction models, such as CTR/CR prediction or user engagement scoring.
• Contribute to the development of a high-performance marketing product for the retail industry.
• Optimize precision in our models, used in to rank our ads in real time within 10ms.
• Gather and analyze data to extract valuable information relevant to prediction models.
• Identify key prediction problems and propose innovating solutions.
• Report, visualize and communicate results.
• Contribute to the exploration and creation of new scientific understanding.
• Work closely to satisfy stakeholders on other Product as well as other R&D teams to net our clients optimal performance results.

What We're Looking For

• BS/MS in Data Science, Computer Science, Statistics, or a related field.
• 2+ years of experience dealing with big datasets using tools that run on Hadoop.
• 2+ years of programming experience, in Python or another language (C#, Java, C++ or other scripting languages are all good).
• Experience developing and extending systems of moderate complexity
• A passion for shipping quality high-performance code
• A strong sense of ownership and a dislike for passing the buck
• A problem solver, a fixer, and a creative technologist. We believe data analytics is a talent and a passion, not just a skill
• A strong communicator and a team player who can work efficiently with others

Bonus Skills

• Practical experience writing Map/Reduce, Spark or Hive/Presto or using a machine learning frameworks like TensorFlow.
• Familiarity with Java, or Scala
• Experience working with product owners to understand and implement business requirements
• A demonstrated track record of taking initiative and acting as a leader
• Experience working well in a very fast-paced and continuously changing environment

Engineering In Ann Arbor

• Engineering Driven Organization
• Industry Leading Technology
• Opportunity to Learn and Grow
• Talented & Welcoming Team
• Fun & Supportive Culture
• Amazing Downtown Ann Arbor Office

Our Ann Arbor location is one of 4 engineering centers at Criteo (along with Palo Alto, Grenoble, and Paris). The office, which was added by acquisition in 2016, is the primary development center for Criteo Sponsored Products. We are a team of 80+ that’s making an impact and is widely recognized for our talent and innovation. We’ve retained a small company feel while being part of something big. About Ann Arbor Office: http://labs.criteo.com/aacareers/ About Engineering at Criteo: http://labs.criteo.com/ At Criteo, we are committed to creating an environment where all Criteos feel a sense of belonging. We nourish our diversity by listening to all cultures within Criteo - and there are many. We are proud to be a global team and conscious that it takes people with different perspectives, thoughts and cultures to succeed. Criteo collects your personal data for the purposes of managing Criteo's recruitment related activities. Consequently, Criteo may use your personal data in relation to the evaluation and selection of applicants. Your information will be accessible to the different Criteo entities across the world. By clicking the "Apply" button you expressly give your consent. Apply for this job