Better Hiring Through Objective Evaluation
We believe every candidate deserves a fair, structured assessment — and every company deserves clear, evidence-based hiring decisions.
Our Mission
Technical hiring is broken. Too often, interview outcomes depend more on who conducts the interview than on the candidate's actual abilities. Inconsistent standards, unstructured questions, and subjective gut feelings lead to noisy signals and missed opportunities.
At Tensor Talent, we're building a better way. We bring the rigor of calibrated rubrics, the consistency of structured interviews, and the efficiency of AI-assisted evaluation to every hiring engagement.
Our goal is simple: reduce noise, improve signal, and help companies make confident hiring decisions based on evidence — not intuition.
Our Experience
Our team has conducted 100+ technical interviews for large enterprises across Software Engineering and Machine Learning roles. We understand what good looks like — and more importantly, how to consistently identify it.
Roles We Cover
- ML Engineer
- Applied Scientist
- Data Scientist
- MLOps Engineer
- Data Engineer
- Backend Engineer
- Full-stack Engineer
- Frontend Engineer
Interview Types
- ML System Design
- ML/DS Deep Dives
- Model Deployment & MLOps
- DSA / Problem Solving
- System Design
- Coding Exercise Review
- Behavioral / Leadership
Our Values
Fairness
Every candidate deserves an objective evaluation based on demonstrated skills and evidence.
Clarity
Clear criteria, transparent process, and actionable feedback for all stakeholders.
Confidentiality
Candidate and client information is handled with strict confidentiality and professionalism.
Consistency
Standardized processes ensure every candidate is evaluated against the same bar.