Job Description
Get AI-powered advice on this job and more exclusive features. Help us build the future of supply chain intelligence.
We're a small, fast-moving team building a next-generation supply chain AI platform that will transform how global commerce operates. As a startup, we prioritize development speed and iteration. Creating solid and clean building blocks while delivering meaningful features is top of mind right now. We're well-funded and backed by prominent investors, founded by serial entrepreneurs who've previously raised hundreds of millions and built category-defining companies.
We need a Senior Data Scientist with deep mathematical foundations who can translate cutting-edge research into production systems that scale.
What You'll Do:
Design and implement advanced ML models for supply chain optimization
Apply linear programming and optimization techniques to real-world problems
Build and deploy deep learning models at production scale
Own the MLOps pipeline for training and serving large models
Write production-quality code that handles billions of data points
Collaborate with engineering to integrate models into our platform
Research and implement state-of-the-art techniques in forecasting and optimization
Design experiments and analyze results to drive product decisions
Build self-improving systems that learn from user interactions
You Should Have:
Master's degree (or PhD) in Computer Science, Mathematics, Statistics, or related field
Strong mathematical foundations (linear algebra, optimization, probability theory)
Deep understanding of linear programming and combinatorial optimization
Extensive experience with deep learning frameworks (PyTorch)
Proven track record deploying ML models to production
MLOps experience with large-scale model training and serving
Proficiency in Python and software engineering best practices
Experience with distributed computing and big data technologies
Ability to translate complex research into practical solutions
Bonus Points
PhD in a relevant field with published research
Experience with supply chain optimization or operations research
Built ML infrastructure for training models with billions of parameters
Experience with real-time ML systems and edge deployment
Track record at successful startups or top-tier tech companies
Why Join Us?
Work with founders who've built category-leading companies before
Backed by prominent deep tech investors, we have runway and ambition
Solve genuinely hard problems that impact global commerce
Own the entire ML stack with resources to build it right
Collaborate with a world-class team of engineers
Competitive compensation with significant equity upside
Join at the ground floor of what will be a category-defining company
To Apply
Share a production ML system you've built that required both mathematical sophistication and engineering excellence. We're especially interested in examples involving optimization, large-scale training, or systems that improved over time. Include metrics on model performance and system scale if possible.
Seniority level
~ Seniority level Mid-Senior level
Employment type
~ Employment type Full-time
Job function
Job function Engineering and Information Technology
Industries Technology, Information and Internet
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Job Tags
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