QuantCo

AI Engineer

• Design, test, and deploy AI systems that are embedded at scale.
• Leverage cutting-edge models to build robust, production-ready AI applications.
• Lead the design of data and inference pipelines.
• Orchestrate the integration of LLM-based components such as retrieval-augmented generation (RAG).
• Balance engineering constraints with business priorities.
• Own all stages of product iteration and development from system design to deployment.
• Collaborate with data scientists and may work in forward-deployed roles with clients or centralized roles to abstract solutions into scalable assets.

Research Scientist

• Design, build, and implement applied AI systems that improve decision-making and unlock efficiencies
• Collaborate with software engineers and data scientists to solve inference optimization, scalable systems design, and human-computer interaction problems
• Identify the most impactful problems to solve and translate commercial objectives into technical solutions
• Combine and transform large multimodal datasets to run in-depth statistical analysis
• Apply deep learning models to automate large-scale decisions integrated into live business processes
• Deliver mission-critical code and solutions that generate tangible economic impact
• Work in a client-facing setting to integrate models and solutions into customer workflows

Applied Scientist – Deep Learning

Full-stack Engineer

• Contribute directly to our product UI by implementing new features and optimizing existing code – our clinical users will rely on the code you ship.
• Contribute to backend product services to orchestrate and implement RESTful APIs.
• Implement new GitHub Action workflows as project needs evolve, ensuring processes and feedback loops remain efficient.
• Build internal tooling that supports R&D workflows such as image viewing, annotation, and clinical data management – this includes creating crucial UIs and backend services that other team members will rely on.
• Support ongoing and upcoming clinical trials with custom data management and workflow tooling.
• Help ensure engineering standards meet our strict quality goals.

Full-Stack Software Engineer, Medical Imaging

Machine Learning Engineer

• Background: Virdx - the virtual diagnostics unit of QuantCo - is making non-invasive, dignified, and actionable tissue characterization for cancer detection and treatment a reality. Starting with prostate cancer - the most frequent and second most deadly cancer in men in the USA - Virdx is changing the paradigm for medical artificial intelligence. Virdx intends to replace the biopsy procedure with an imaging-based alternative that is free of side effects: An in vivo microscope for virtual biopsy procedures. In doing so, Virdx is solving a broad range of high-profile challenges in the fields of magnetic resonance physics, machine learning, and software engineering.
• Help us change medicine: Virdx aims to deliver fundamental changes to the way cancer is assessed. In its R&D effort, Virdx builds upon the principle of “novel data for novel algorithms.” This means that Virdx is optimizing MRI protocols, with a particular emphasis on diffusion imaging, to power algorithms that can fully replace physical biopsies.
• Your role: As a deep learning medical imaging specialist in Virdx, you will work with the team on a range of varied and ongoing medical imaging projects. You will apply your expertise to push the boundaries on performance in tasks such as registration, denoising, segmentation, and 3D scene reconstruction.

AI Engineer

Applied Scientist – Deep Learning

Full-Stack Software Engineer, Medical Imaging

Deep Learning Engineer, Medical Imaging