Junior Algorithm Developer / Data Scientist
Vision Elements
United States0–2 yrs51m agovia LinkedIn
About Vision Elements
Vision Elements is a computational-sciences consultancy solving core, hard problems in computer vision and 3D, medical and scientific imaging, signal and sensor processing, and applied machine learning.
Who We're Looking For
- A junior with a real passion for math and physics, who lights up at a scientific challenge.
- Someone fascinated by the variety of problems, industries, and domains.
- Someone who enjoys reducing messy, domain-specific problems to their clean mathematical core.
- Requires rigor, curiosity, and the drive to make something work.
Key Responsibilities
- Prototype algorithms for real client problems across imaging, vision, 3D, signals, and ML, from first principles to working code.
- Run and analyze experiments: design benchmarks, quantify what works, and turn results into clear, honest conclusions.
- Reduce problems to their core: find the right mathematical formulation, then the simplest method that solves it robustly.
- Work shoulder-to-shoulder with senior scientists, learning how hard problems get scoped, de-risked, and delivered.
Requirements & Tech Stack
- Python fluency and a scientific stack (NumPy/SciPy, PyTorch or similar).
- Habit of thinking a problem through before coding it.
- Discipline to verify results.
Qualifications
- An MSc or PhD (completed or in progress) in a quantitative field: CS, EE, physics, applied math, biomedical or mechanical engineering, or similar.
- Strong mathematical foundations: linear algebra, probability and statistics, optimization, and/or signal processing.
Nice to Have
- Exposure to any of: deep learning, classical computer vision, DSP, medical imaging, 3D geometry, or numerical methods.
- C/C++ or GPU/CUDA experience.
- A publication, thesis, or side project.
- Comfort switching domains with genuine excitement.
The Engagement
- Flexible & open: part-time contract or full-time.
- Built for students: MSc and PhD candidates welcome. Hours flex with coursework, academic research, and life.
- US-based, remote-friendly: work from anywhere in the US. Occasional overlap with the team for reviews and pairing.
- Compensation discussed directly, competitive for the level.