Machine Learning Engineer
5 days ago
We are seeking a highly skilled Machine Learning Engineer to join our team at OpenX. The ideal candidate will have strong software engineering skills, extensive expertise in machine learning frameworks, and experience with cloud platforms.
Key Responsibilities:
- Design, develop, and deliver innovative features and functionalities for our ML platform.
- Analyze and enhance the efficiency, scalability, and stability of machine learning model training pipelines.
- Develop, maintain, and monitor the infrastructure responsible for training ML models.
- Collaborate with the data science team to optimize and advance the ML platform.
- Provide strategic guidance for optimizing models and enhancing model training pipelines.
Requirements:
- 7+ years of experience in a similar role and a Bachelor's degree in Computer Science or a related field.
- Extensive expertise in Python programming and software engineering best practices.
- Demonstrated proficiency with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
- Familiarity with basic SQL for querying and data manipulation.
- Hands-on knowledge of ML pipelines, particularly Kubeflow Pipelines.
Benefits:
- $170,000 - $250,000 per year salary based on experience.
- 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.
About Us:
OpenX is a leading advertising technology company that operates at a scale of 100% cloud-based (GCP) platform, handling over 400 billion Ad requests every day, with over 120,000 CPU daily, over 140 TB RAM daily, and over 50 PB of data per week.
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