ML Engineer training diffusion models for Hapiko’s voice - activated Stickerbox, which turns kids’ spoken ideas into stickers. Bringing Spin Master characters into production safely and on - model.
About the role
- Machine Learning Developer at Rocket Innovation Studio designing frameworks for automated decision-making. Collaborating with data scientists to develop algorithms and hosting trained models into business processes.
Responsibilities
- Design and develop the platform and frameworks that facilitate automated data-driven decision-making
- Collaborate with data scientists to develop algorithms and tools for training and running simulations
- Build services to interact with machine learning models through simulations
- Participate in code reviews to ensure code quality and share best practices
- Develop services that host the trained models and work with other application teams to integrate them into business processes
- Gather and analyze large datasets and develop data model pipelines
- Develop algorithms that drive automated data-driven decision-making
- Build the tools for monitoring the performance of machine learning applications.
Requirements
- Master’s degree in software development, computer science, algorithm design, artificial intelligence, or machine learning or equivalent experience
- 1 year of experience in machine learning and using libraries such as Scikit-learn, TensorFlow, Caffe, Keras, etc.
- 1 year of experience working with large datasets, structured and unstructured
- 1 year of programming experience, including Java, Scala, C/C++, or Python
- 1 year of experience with the Hadoop ecosystem (Apache Hive, Pig, HBase and Kafka)
- 1 year of experience with distributed computing platforms, such as Spark, and user interface frameworks, such as Angular or React
- 1 year of experience with cloud computing providers such as AWS or Azure
- Proficiency in the Microsoft Office suite
- Strong object-oriented programming skills, including proficiency in Java, Scala, C/C++ or Python
- Knowledge of big data.
Benefits
- medical benefits
- dental benefits
- vision benefits
- retirement plan
- paid time off
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