Founding Applied Scientist
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
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. Youll 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 Were 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: Masters 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).
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
