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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 TechnologyIndustries
Technology, Information and Internet
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