Staff Software Engineer, Machine Learning

Narvar is seeking a Staff Software Engineer, Machine Learning to build new products and improve all aspects of the Narvar platform. As a full-stack ML Engineer, you'll work across the stack, writing production-level code and owning machine learning operations for our teams.

Key Responsibilities:

• Design and deploy machine learning algorithms for e-commerce, consumer trends, markets, logistics, and new products
• Work on real-world consumer data for NLP, image classification, time series analysis, outlier detection, and user modeling
• Handle large unstructured data
• Build frameworks, tools, and methodologies for the entire team
• Provide thought leadership through high-quality write-ups, reviews, and a strong vision

Requirements:

• Strong machine learning skills
• Fluency in Python, PyTorch, Tensorflow, Pandas, numpy, and ML packages
• Data Engineering skills and large data experience (TB scale in production)
• 5+ years of hands-on experience shipping models to production
• MS in Computer Science, Statistics, Math, Science, Engineering or similar field
• Strong software engineering and coding skills
• Strong understanding of probability & statistics, machine learning, and algorithms
• Experience with SQL and NoSQL databases
• Experience with Linux and shell scripting

Bonus Points:

• Experience with Google Cloud Platform
• Deep generative models or graph learning experience
• Kaggle competition experience
• Team leadership experience

Narvar offers a unique opportunity to work on post-purchase experiences for major brands, serving over 125 million consumers worldwide. Join a team that thrives on innovation and celebrates professional and personal milestones. We value diversity and provide equal opportunities to all candidates.

#LI-SA1 #LI-Hybrid