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Join Neurophin
Turn research-grade AI into products that ship
We are a lean R&D team whose time goes into real technical problems: what to do when data is dirty, how to keep a model performing after it hits the production line, how to reach real-time on limited compute. If those are the problems you enjoy — rather than endless meetings — we will probably get along.
What Working Here Looks Like
Real engineering
Your code ships to production lines, hospitals and field deployments — not slide-deck projects that get archived.
See the whole picture
From data and models to deployment and customer feedback, you own the full project lifecycle — not one slice of an assembly line.
Flat and direct
Technical debates are about the work, not the hierarchy. Good ideas don't need sign-off chains to be heard.
Keep learning
We encourage reading papers and trying new methods — and validating the latest research inside real projects.
Current Openings
These positions are open on an ongoing basis. Not a perfect match? Apply anyway — we care most about how you solve problems.
AI Algorithm Engineer Full-time Computer Vision / Deep Learning
Responsibilities
- Develop and optimize models for object detection, segmentation and anomaly detection
- Design data preprocessing and semi-automatic labeling pipelines
- Model compression, quantization and inference acceleration (ONNX / TensorRT)
- Write experiment records and technical docs; participate in solution design
Requirements
- M.S. or above in CS/EE or related fields, or equivalent hands-on experience
- Proficient in Python and PyTorch; able to train and evaluate models independently
- Solid understanding of CNN and Transformer architectures and their trade-offs
Nice to Have
- Experience with industrial inspection, medical or remote-sensing imagery
- Published papers or open-source contributions in related areas
- C++ or CUDA performance optimization
Backend / Systems Engineer Full-time AI System Deployment & Integration
Responsibilities
- Package AI models as stable API services with containerized deployment (Docker)
- Build data pipelines and model monitoring
- Integrate with client systems (MES, PACS, ERP)
- Maintain on-premise and cloud environments; own performance and reliability
Requirements
- Proficient in Python (Flask / FastAPI) and relational databases
- Comfortable with Linux and Docker-based deployment
- Understanding of RESTful API design and basic security
Nice to Have
- GCP / AWS deployment, Kubernetes, CI/CD
- Edge deployment experience (e.g. NVIDIA Jetson)
- Experience explaining technical solutions to non-engineering clients
R&D Intern Internship AI / Software Development
Responsibilities
- Assist with data collection, cleaning and labeling workflows
- Run model experiments, reproduce papers and document results
- Build internal tools and automation scripts
Requirements
- Junior year or above, or enrolled in a master's program (CS, EE, statistics or related)
- Python basics; coursework in machine learning or deep learning
- At least 16 hours per week, consistently
Nice to Have
- Kaggle, course projects or side projects to show
- Familiarity with Git and collaborative workflows
Application Process
Prepare your résumé
PDF format, with links to your work (GitHub, papers, projects — anything you're proud of).
Email us
Subject line: Application — Position — Your Name, to the address below.
Interview & tech discussion
After document review, we arrange an online or on-site conversation about what you've built and what you want to build.
info@neurophin.com
Application — Position — Name
We personally read and reply to every application. Personal data is used for recruiting purposes only — see our Privacy Policy.
Don't see a fitting role?
If you believe you can bring value to the team, write to us directly — tell us what you're great at and what you want to work on.
info@neurophin.com