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Machine Learning Engineer

Description

Playtika Holding Corp. is a leading mobile gaming company and monetization platform with over 35 million monthly active users across a portfolio of games titles. Founded in 2010, Playtika was among the first to offer free-to-play social games on social networks and, shortly after, on mobile platforms. Headquartered in Herzliya, Israel, and guided by a mission to entertain the world through infinite ways to play, Playtika has over 3,700 employees in 19 offices worldwide including Tel-Aviv, London, Berlin, Vienna, Helsinki, Montreal, Chicago, Las Vegas, Santa Monica, Newport Beach, Sydney, Kiev, Bucharest, Minsk, Dnepr, Vinnitsa, and Lausanne.

Playtika is looking for a Machine Learning Engineer to join the AI Department.

You will join a team of people with exceptional soft skills and outstanding hard skills, that like to share lunchtime together, talking about everyday life, sports, travels, etc. and that transforms into highly trained geeks when extracting leverageable information from Terabytes of structured and unstructured data (per day!).

You will join a team focusing on NLP solutions, in Lausanne, where we concentrate our efforts in providing a better experience to our players by deeply understanding the messages sent to us through chats and support tickets.

Responsibilities

• Design data science, statistical, machine learning and deep learning systems that influence millions of players
• Implement and optimize appropriate ML algorithms and tools for time series and tabular data
• Transform data science prototypes into full-scale products, while deploying and monitoring ML models
• Run live tests and experiments
• Train and retrain systems when necessary
• Create or extend existing ML libraries and frameworks
• Collaborate with other scientists, engineers, architects and analysts spread across several countries

Requirements

• 5+ years’ experience in ML engineering, data engineering or software engineering
• MSc in Computer Science, or any related degree
• Solid working experience in Python and Java - high coding standards, clean code, well documented, and extensive unit testing
• Experience working with databases (SQL and no-SQL)
• Experience with machine learning frameworks (like Keras, Tensorflow, or PyTorch) and libraries (like scikit-learn)
• Experience with Big Data tools, in particular batch and stream processing (Spark, Kafka, Hadoop, Hive, etc.)
• Good understanding of container & orchestration technologies (Docker, Kubernetes, etc.)
• Experience working on high-scale, production-grade projects
• Proficiency with bash/CLI
• All-around team player who is a self-motivated, fast learner
• Familiarity with UI/UX development, as this position will require it

Advantages:

• PhD in Computer Science, or any related degree
• Experience with Scala
• Experience with ML platforms (MLflow, cnvrg.io, etc.)
• Familiarity in ML evaluation metrics (Precision, Recall, F1 Score, etc.)
• Experience with training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production
• Experience with logging & monitoring (ELK, Prometheus, Grafana, etc.)
• Experience developing CI/CD workflows and tools (Jenkins, TeamCity, etc.)
• Experience with orchestration/pipelines (Airflow, Ray, etc.)
• Background working with a cloud technology stack

A word from the manager