Senior Software Engineer II developing machine learning products for Narvar's platform, using consumer data for various applications. Collaborating across teams to design algorithms impacting millions globally.
Responsibilities
Design and deploy machine learning algorithms for use cases spanning e-commerce, consumer trends, markets, logistics, and new products
Work on real-world consumer data for natural language processing, image classification, time series analysis, outlier detection, user modeling, etc
Work with large unstructured data
Be at the intersection of mathematics, machine learning, business, and computer science and impact millions of users through your work
Multiply the effect of your data science and data team members by building frameworks, tools, and methodologies that the entire team use
Provide thought leadership to a team through high quality write-ups, reviews, and a strong vision grounded in practical experience and a wider industry view
Requirements
Strong machine learning skills.
Fluency in Python, PyTorch, Tensorflow, Pandas, numpy, and machine learning packages
Data Engineering skills and large data experience. You should have dealt with large amounts of data (TB) in a production setting, built world class data pipelines using cutting edge tools (e.g. Spark).
10+ years of hands-on experience shipping models to production, working on a variety of problem spaces (eg: user modeling, spam classification, prediction, clustering etc)
MS in Computer Science, Statistics, Math, Science (physical or social), Engineering or similar quantitative and computation field plus 5+ years of industry experience
Strong software engineering and coding skills with the ability to write production quality code
Strong understanding of probability & statistics, machine learning, and algorithms
Senior Geospatial ML Engineer building satellite - imagery vegetation intelligence for a climate - tech company. Improving production models and pipelines to help utilities prevent wildfires and outages.
Senior Machine Learning Engineer building scalable recommender systems for Thomson Reuters’ legal, tax, compliance, government, and media platforms. Implementing secure ML products and infrastructure.
ML Engineer scaling Torc Robotics’ simulation platform for autonomous trucks. Embedding with Autonomy teams to operationalize replay, recompute, metrics, visualization, and model integrations.
Senior ML Engineer building production AI services and MLOps platforms for Hyatt, a global hospitality company. Optimizing cloud - based inference, infrastructure, and model operations.
Machine learning engineer developing real - time underwriting models for Affirm’s buy - now - pay - later platform. Productionizing risk systems, feature pipelines, monitoring, and experimentation workflows.
Senior Machine Learning Engineer productizing scalable deep learning models for Movable Ink’s content personalization and AI decisioning platform. Advancing ML infrastructure, inference performance, monitoring, and automated testing.
Adversarial ML Engineer red - teaming foundation models and AI systems for client security teams. Investigating vulnerabilities, designing attacks and defenses, and validating remediation across model and agentic layers.
ML Performance Benchmarking Engineer at Cerebras Systems, transforming AI inference with cutting - edge technology. Collaborating with teams to optimize performance across the software stack.
Senior Machine Learning Engineer developing AI prototypes to enhance user experiences for dating products. Collaborating with cross - functional teams to deliver impactful ML/AI solutions.
Staff Machine Learning Engineer contributing to video personalization projects at Tubi. Designing and implementing advanced algorithms while collaborating with cross - functional teams.