5+ years of experience in building large scale machine learning systems
3+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, etc), NLP and text data, Computer Vision
Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques and their performance characteristics
Experience working with large scale and real world datasets
Metrics focused and passionate about delivering models that render high quality results
Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Python, Scala, Java, or C++
Knowledge of Spark, Apache Hadoop, Solr/Lucene, Cassandra, and related big data technologies
Masters or PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.
Hands on experience with multi-modal foundation models and understanding of state of the art approaches in the field
Experience shipping a complex AI system, including research and leveraging generative AI models
Excellent independent problem-solving skills
Excellent written and oral communication skills
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