
Job Description
Ovii's Interpretation of the Role
The Senior Applied Scientist at UiPath bridges research and product, designing, optimizing, and deploying machine‑learning models that scale reliably in production. The role blends academic rigor with practical engineering to solve real‑world automation challenges.
Role Snapshot
- Design and ship production‑ready ML models
- Translate research papers into working implementations
- Benchmark performance and conduct statistical analysis
- Create user‑friendly interfaces for ML outputs
- Present research findings to engineering teams
Must-Have Requirements
- Python
- PyTorch / TensorFlow / JAX
- Ability to implement models from academic papers (ICML, ICLR, NeurIPS)
- Strong quantitative intuition and mastery of linear algebra, probability and statistics
- Solid knowledge of basic data structures and algorithms
- machine learning model development
- research paper implementation
- statistical analysis and benchmarking
- On‑site work in Bucharest
Work Setup
- Location: Bucharest, Romania
- Work mode: ONSITE
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Education requirement
- Certifications
- Relocation
- Travel
- Security clearance
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Build and improve modern machine‑learning models for complex problems
- Read, propose, and implement enhancements from top‑tier research papers
- Design human‑computer interfaces that make ML models accessible
- Run regular benchmarks, perform statistical analysis, and draw conclusions
- Communicate results and recommendations to the team
Good Fit If You Have
- Passionate about advancing machine‑learning research
- Self‑starter, motivated, honest and responsible
- Thrives in a fast‑moving, growth‑focused environment
- Kind, courteous and collaborative
Skills
- Python
- PyTorch / TensorFlow / JAX
- Statistical analysis & quantitative modeling
- Linear algebra, probability & statistics
- Data structures & algorithms
- Research‑paper model implementation
- ML model optimization for production