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Founding Applied Scientist

Success Matcher · United States · Posted 21d ago

remoteFull-timesenior5-8 yrs🇺🇸 United States
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About the role

As a Founding Applied Scientist, you will build core AI capabilities for a rapidly growing retail security firm. The role involves leading model development, ensuring successful deployment of computer vision solutions, and collaborating with engineering teams to deliver impactful results.

Full job description (as posted) ↓

About the Role Our client is an innovative AI-driven retail security firm currently experiencing 10x growth. As they scale from individual retailers to massive enterprise clients with 100+ locations, they are seeking a Founding Applied Scientist to build their core AI capabilities from the ground up. This is not a "pure research" role. You will be a hands-on builder owning the full model development lifecycle. You’ll be responsible for everything from data collection strategy and quality assessment to training, inference optimization, and shipping production-quality code. Reporting directly to the CTO, you will collaborate with a distributed engineering team to deliver computer vision solutions that have an immediate impact on retail safety and operations. Key Responsibilities Lead Model Development: Take full ownership of the model lifecycle, including production training, optimization, and inference deployment. Bridge Research & Engineering: Write substantial, production-ready code (Python) to ensure CV models are successfully deployed via cross-functional engineering teams. Strategic Data Planning: Design and implement data collection and quality assessment frameworks to improve model accuracy in real-world retail environments. Technical Communication: Present complex technical findings and AI roadmaps to both engineering teams and executive leadership. What We’re Looking For Experience: 3+ years of professional experience in Applied Science, ML Engineering, or Computer Vision roles. Proven Track Record: You have shipped customer-facing products and have deep experience with real-world CV applications (e.g., YOLO or similar architectures), rather than just academic projects. Technical Mastery: Advanced proficiency in Python with PyTorch or TensorFlow . Academic Background: Master’s degree or PhD in Computer Science, Machine Learning, or Computer Vision. Collaborative Spirit: Comfortable working in a fast-paced startup environment and collaborating with distributed teams across time zones (specifically Turkey-based engineering). Originally posted on Himalayas

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FAQ

Is the Founding Applied Scientist role at Success Matcher remote?+

This Founding Applied Scientist position is listed as remote (United States).

What seniority level is this Founding Applied Scientist role?+

This is a senior level position.

How do I apply for the Founding Applied Scientist role at Success Matcher?+

Use the "Apply on Himalayas" button to open the original posting on Himalayas, where you can submit your application directly to Success Matcher.