Role : Senior Machine Learning Engineer Location : (Remote - United States) Duration : Long term What you'll do: • Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas. • Mentor and guide junior engineers, fostering a culture of learning and technical excellence. • Work with large and complex textual and visual datasets. • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services. • Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types • Productionize and automate model pipelines within Python services. • Drive and advocate adoption of best practices in ML development and operations, and mentor newer engineers in those practices. What it takes to succeed: • Experience developing and productionizing machine learning models, particularly in neural networks and computer vision, including their supported data pipelines. • Experience with machine learning using packages such as PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn. • Strong coding skills in Python or equivalent (Java, C++). • Solid understanding of engineering and infrastructure best practices. • The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal. • We highly value experience of working with LLMs, utilizing LLM APIs (OpenAI, Bedrock, etc), prompt engineering and evaluation. • A Bachelor’s Degree or an equivalent work experience is required.