Stealth Startup | Automatic Program Repair
AI / Software Engineering / ML Systems
We are a stealth startup working on Automatic Program Repair and AI systems for automated code analysis and correction.
We are looking for a Python Developer with a strong focus on performance, code quality, and building real products, not just prototypes.
This is a highly technical and cross-functional role: you will work both on optimizing Machine Learning code and on building complete applications (backend + frontend).
What you will do (key responsibilities)
Machine Learning & Performance
* Optimize Python code inside Machine Learning pipelines (training, inference, preprocessing).
* Improve performance, memory usage, and latency of ML models (profiling, refactoring, parallelization).
* Work on models that analyze source code, graphs, tokens, and embeddings.
* Contribute to the design of scalable and maintainable ML architectures.
Backend Development
* Develop Python backends for AI-driven applications.
* Design and implement APIs (REST / async) for ML services.
* Integrate ML models into production systems.
* Manage data pipelines, async jobs, queues, and scheduled tasks.
Frontend & Product
* Build frontend interfaces to visualize results, insights, and ML workflows.
* Integrate frontend and backend into complete applications.
* Work closely with product and research to turn ideas and research into real products.
Additional useful activities
* Write clean, testable, and well-structured code.
* Contribute to architectural decisions (not just execute tasks).
* Improve internal tools, development pipelines, and debugging workflows.
* Collaborate on complex systems related to code analysis and program understanding.
Requirements
Must have
* Strong knowledge of Python.
* Experience optimizing Python code, especially in ML contexts.
* Experience with Machine Learning (training, inference, model management).
* Ability to build application backends (APIs, services, ML integration).
* Solid understanding of data structures, algorithms, and performance.
Nice to have
* Experience with ML frameworks (PyTorch, TensorFlow, JAX, or similar).
* Knowledge of profiling and optimization (memory, CPU, GPU).
* Frontend experience (React, Next.js, or similar).
* Familiarity with Docker, Linux environments, CI/CD.
* Interest in program analysis, static analysis and code intelligence.
What we offer
* Work on a deeply technical and challenging problem.
* Small, highly technical team with minimal bureaucracy.
* Real impact on architectural and technical decisions.
* Competitive compensation.
* Flexible working setup.