
Machine Learning Engineer for Scalable Infrastructure
2 days ago
At OpenX, we are seeking a highly skilled Machine Learning Engineer to contribute to our R&D projects. As part of our team, you will focus on building and maintaining machine learning pipelines, collaborating with data scientists to optimize and advance the ML platform.
Key Responsibilities:- Design, develop, and deploy innovative features and functionalities for our machine learning platform
- Work closely with data scientists to productionize existing models by creating scalable pipelines for training and optimizing the model for serving
- Migrate model training pipelines across different technologies or transition model implementations to other frameworks
- Provide strategic guidance for optimizing models and enhancing model training pipelines
- A strong background in software engineering and experience with cloud platforms, particularly Google Cloud Platform's Vertex AI
- Proficiency in Python programming and expertise in machine learning frameworks such as TensorFlow, PyTorch, or Keras
- Excellent communication skills and the ability to collaborate effectively with team members from diverse backgrounds
- A willingness to learn new tools and create proof-of-concept implementations
We operate at scale, handling over 400 billion Ad requests every day, with a 100% Cloud-based (GCP) platform. Our infrastructure consists of over 120,000 CPU daily, 140 TB RAM daily, and 50 PB of data per week. We strive for efficiency, scalability, and stability in our machine learning model training pipelines.
Benefits:- Private healthcare
- Training budget
- Flat structure
- Small teams
- Lunch card
- Free coffee
- Free parking
- In-house trainings
- Modern office
- No dress code
- Bike parking
- Shower
- Free snacks
- Free beverages
- Playroom
- Python
- SQL
- TensorFlow
- PyTorch
- Machine learning
- Google cloud platform
- Vertex AI
- Kubeflow
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