We’re looking for a sharp and creative Algorithm Engineer with strong software engineering skills to join the team responsible for the core intelligence of the Tensorleap platform.

About Tensorleap

Tensorleap is a leading debugging and explainability platform for deep learning researchers and developers. Using advanced techniques like latent space extraction, grad-based analysis, and automated insights, we enable deep learning teams to streamline development, catch production issues, and better understand edge cases. Already trusted by some of the biggest companies in the market, Tensorleap is the go-to solution for reducing model failures and optimizing datasets.

Responsibilities

• Research, design, and implement innovative algorithms for neural network explainability and performance analysis.
• Develop robust, high-performance, and production-ready code for our core platform.
• Collaborate with researchers and engineers to turn cutting-edge ideas into production-grade features.
• Drive innovation in understanding model behavior, debugging predictions, and visualizing learning processes.
• Integrate new models into our platform and collaborate with customers working in computer vision, NLP, and time series

Qualifications

• 5+ years of experience in algorithm and software development.
• 2–3 years of hands-on experience developing and evaluating deep learning models.
• Solid understanding of deep learning architectures: ResNet, Transformers, FPN, etc.
• 1–2 years of experience working on computer vision tasks: classification, detection, segmentation, optical flow, depth, and generative models.
• Proficiency with deep learning frameworks: PyTorch, TensorFlow, or Keras.
• Strong Python programming skills and experience with libraries like NumPy, OpenCV, etc.
• 2–3 years of experience designing and implementing complex software architectures.
• Solid understanding of multiprocessing, parallelism, or distributed computing.
• Familiarity with DevOps and production tools: Kubernetes, Docker, AWS, GitHub Actions, etc.
• (Nice-to-have) Customer Interaction Experience: Experience in customer-facing roles, with the ability to communicate complex technical concepts in a clear and accessible manner. Ideally, managed or took part in defining a technical process with customers – from the requirements stage until internal DoD and deliverables.

Why Join Us?

• Work on cutting-edge deep learning tools that shape the future of AI.
• Join a high-impact role in a fast-growing startup.
• Engage with a top-tier team in a collaborative and innovative environment.
• Enjoy career growth opportunities and ownership over key projects.

Ready to build the future of deep learning? Apply now!