Staff Engineer - Machine Learning

October 8

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Madhive

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Audience Building • Video Monetization • Cross-Screen Targeting • DMP • Data Attribution

51 - 200

💰 $300M Private Equity Round on 2023-06

Description

• Madhive is the leading tech company engineered for modern TV advertising. • We are seeking a highly skilled and experienced Staff Machine Learning Engineer. • You will lead and contribute to developing and implementing machine learning models and algorithms. • We deal with a massive scale of data and undertake millions of requests a second. • Lead the design, development, and optimization of machine learning models and algorithms. • Work closely with data engineers and data scientists to gather and preprocess data. • Identify and create meaningful features from raw data to enhance model performance. • Develop robust evaluation metrics and methodologies to assess the performance of machine learning models. • Collaborate with DevOps and software engineering teams to deploy machine learning models. • Stay up-to-date with the latest advancements in machine learning and AI research. • Provide guidance and mentorship to junior machine learning engineers. • Collaborate with cross-functional teams to understand business requirements. • Maintain clear and organized documentation of machine learning models. • Participate in an on-call rotation schedule for engineering-related issues.

Requirements

• 10+ years of experience in building internet-scale robust backend systems with a specialization of around 5 years experience in machine learning model development and deployment. • Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field. Ph.D. is a plus. • Experience with core ML technologies such as TensorFlow, JAX, BigQuery, Bigtable, Dataflow, Kubernetes, and TFX Serving with the ability to utilize these in our backend systems. • Strong understanding of machine learning algorithms, deep learning, and neural networks. • Experience with data preprocessing, feature engineering, and model evaluation techniques. • Ability to leverage Google Cloud Platform (GCP) as our exclusive infrastructure provider, while also collaborating with a language-agnostic engineering team. • Strong communication and collaboration skills. • Experience mentoring junior engineers and supporting the hiring and evaluation of candidates.