Senior Software Engineer, Machine Learning

• MS degree in Software Engineering or related field
• 8+ years of programming experience in Java, Scala, C++ or C#.
• 5+ years of experience with large scale big-data processing or with large scale real-time applications.
• 3+ years of experience with Hadoop and MapReduce.
• 3+ years of experience implementing machine learning algorithms.
• Passion for exceptionally high quality code, algorithms, creative problem solving, empowerment, agility, teamwork and superb communication.
• Curiosity and drive - you love solving the hardest problems.

We are innovative, passionate, fearless, creative, driven, and adaptable. Our core values are at the heart of who we are. We have a spontaneous and vibrant culture. We believe in team spirit and collaboration.

• Career advancement with global mobility opportunities.
• Competitive compensation
• 100% premium coverage of Healthcare Plan
• 401(k) fully vested company matching
• Generous Vacation policy
• Generous Paternity and Maternity Leave
• Optional Trips to Paris, France for short-term projects
• Happy hour, free massages, snacks, arcade/game rooms

About CRITEO Criteo (CRTO) delivers personalized performance online marketing through machine learning at an extensive scale. Measuring return on post-click sales Criteo makes marketing campaign ROI transparent and measurable. Criteo has over 2,200 employees. Engineering HQs are in Palo Alto, California and Paris, France. Our customers include 13,000 advertisers worldwide. Our partners include over 18,000 publishers. Technical Stats about Criteo:

• One of the largest Hadoop clusters in Europe with 40PB of stored data and 3.6PB of data processed every day - comparable to Netflix.
• Analytics Infrastructure comparable in size to Uber or Airbnb.

• Excellent Scalability: 1) 30B HTTP requests and close to 4B unique banners displayed per day; 2) 3M HTTP requests per second handled during peak times; 3) 500B log lines processed per day * 90Gbps of bandwidth, half of it through peering exchanges. We see ~4B cookies/devices per month, corresponding to more than half of the overall Internet population. What you will be doing:

• Contribute directly to the development of a significant new line of business / product: high performance marketing for the CPG (consumer packaged goods) industry. Provide technical leadership for specific projects.
• Write high quality, maintainable code. Mentor other engineers.
• Build predictive models to understand shopping behavior.
• Using Hadoop, Map Reduce, Python, Scala or Spark, implement distributed and scalable machine learning algorithms. Deploy to production.
• Collaboratively architect the system design to scale machine learning algorithms and relevance related graph algorithms.
• Find the signal hidden in tens of TB data, in one hour, using over a 1000 nodes on the Hadoop cluster. And iterate for improvement while measuring impact on the bottom line.