Required Staff Machine Learning Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Machine Learning Engineer, youll play be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily.
How youll make an impact:
As a Staff Machine Learning Engineer, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Provide technical leadership and mentor team members on best practices, code reviews, data-insights, analysis results and machine learning technical designs.
Own end-to-end projects involving multiple stakeholders, from architectural design and data pipeline configuration to production deployment and performance optimization.
Be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily.
You will report directly to the group manager.
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Machine Learning Engineer, youll play be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily.
How youll make an impact:
As a Staff Machine Learning Engineer, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Provide technical leadership and mentor team members on best practices, code reviews, data-insights, analysis results and machine learning technical designs.
Own end-to-end projects involving multiple stakeholders, from architectural design and data pipeline configuration to production deployment and performance optimization.
Be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily.
You will report directly to the group manager.
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.
Requirements:
M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
Strong knowledge in Python
Good knowledge in Java, Scala or C#
8+ years of hands on experience with coding data-science / machine learning / statistical modeling based solutions
3+ years of hands on experience in Recommendation Systems, Real Time Bidding or e-Commerce.
Familiarity with deep learning / classic machine learning / reinforcement learning / multi-armed bandits algorithms.
Experience in data analysis and visualization and strong knowledge in SQL
Possess strong problem solving and critical thinking skills.
M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
Strong knowledge in Python
Good knowledge in Java, Scala or C#
8+ years of hands on experience with coding data-science / machine learning / statistical modeling based solutions
3+ years of hands on experience in Recommendation Systems, Real Time Bidding or e-Commerce.
Familiarity with deep learning / classic machine learning / reinforcement learning / multi-armed bandits algorithms.
Experience in data analysis and visualization and strong knowledge in SQL
Possess strong problem solving and critical thinking skills.
This position is open to all candidates.
