Success Matcher

Founding Applied Scientist

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

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

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis Python Founding Applied Scientist remote

Likely questions

  1. Tell us about work you have done that is close to the Founding Applied Scientist role.
  2. How would you approach your first 30 days at Success Matcher?
  3. Which of Data Analysis, Python and Founding have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Python and Founding.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Founding Applied Scientist role because I can bring practical experience in Data Analysis, Python and Founding, learn the team quickly, and contribute to the outcomes Success Matcher needs from this hire.

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