Job Description:
• 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.
Requirements:
• Experience developing and productionizing machine learning models, particularly in neural networks, computer vision and LLMs 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.
• A Bachelor’s Degree or an equivalent work experience is required.
Benefits:
• bonus
• restricted stock units
• health insurance
• retirement plans