About this role
Narvar is hiring a senior full-stack ML engineer to design and deploy machine learning algorithms across e-commerce, NLP, computer vision, and time series use cases. You'll own ML operations, build data pipelines at terabyte scale, and multiply team impact through frameworks and tooling.
Must have
Strong machine learning skills with 10+ years shipping models to production
Fluency in Python, PyTorch, TensorFlow, pandas, NumPy, and ML packages
Data engineering skills with large data experience at terabyte scale in production
Built world-class data pipelines using cutting-edge tools like Spark
MS in Computer Science, Statistics, Math, Science, Engineering or similar quantitative field plus 5+ years industry experience
Strong software engineering and coding skills with production-quality code ability
Strong understanding of probability, statistics, machine learning, and algorithms
Experience with SQL and NoSQL databases
Experience working with Linux and shell scripting
Previous startup experience strongly preferred
Technologies
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
Work with large unstructured data
Be at the intersection of mathematics, machine learning, business, and computer science
Multiply the effect of data science and data team members by building frameworks, tools, and methodologies
Provide thought leadership through high-quality write-ups, reviews, and strong vision grounded in practical experience
Benefits
Recruitment process
Full-stack ML engineer role owning machine learning operations for the team
Impact millions of users through your work across 10+ billion interactions
Company serves 1300+ brands including GameStop, Nike, Sonos, and Neiman Marcus
Hubs in San Francisco, Atlanta, London, and Bangalore
Equal-opportunity employer valuing diversity
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