People Power for an Autonomous Age

Our startup client is seeking a curious and collaborative ML Research Engineer who thrives at the intersection of cutting-edge research and meaningful healthcare applications. As part of our innovative team, you'll design, train, and deploy machine learning solutions that directly improve patient outcomes and clinical workflows. **What you'll do**- Design and train novel ML models, leveraging GPU clusters and state-of-the-art ML tools like PyTorch.- Analyze experimental results rigorously, developing robust and scalable solutions.- Collaborate closely with clinicians, ML researchers, and product engineers to ensure practical and impactful solutions.- Balance exploration of new ML techniques with the realities of healthcare data and applications.- Communicate your findings clearly through technical documentation, research papers, and engaging whiteboard sessions. **We'd love to hear from you if you have**- 2+ years of ML research experience, with proficiency in PyTorch and Python.- Strong software engineering skills and experience deploying ML models on GPU infrastructure.- A solid mathematical understanding of machine learning algorithms.- A track record of written technical documentation and/or research papers.- A hypothesis-driven approach to research, complemented by meticulous evaluation.- Appreciation for the complexities and significance of healthcare data and high-stakes ML applications.- Excellent communication skills, with a knack for explaining complex concepts simply and clearly.**Bonus points if you have**- Prior experience in healthcare or medical domains.- Experience creating or curating healthcare datasets.- Familiarity with medical terminology and clinical workflows.- Experience with MLOps: CI/CD pipelines, model monitoring, versioning, and continuous retraining.- Familiarity with state-of-the-art ML research.

Mission: Revolutionising architectural workflows through AI-powered tools and automation Empowering architects and design professionals to work more efficiently and creatively Product and Market: Developing an AI-driven platform tailored for architects and design firms Providing automation tools that streamline workflows, enhance creativity, and improve efficiency Already live with paying subscribers, including small practices and individual architects Gaining traction with large architecture firms currently testing the platform Focus for the next few years: Expanding adoption among major architectural firms Requirements: 5–6 years of solid frontend experience (Next.js experience not essential) Proven expertise in building complex 3D and/or canvas-based web applications Strong experience with WebGL and/or Three.js is highly desirable Experience developing interactive and graphics-intensive applications Ability to lead frontend development efforts in a fast-paced start-up environment

As a Senior Engineer, you'll be a key technical contributor in building our cutting-edge AI technology platform. You'll work across the stack, implement best practices, and help ensure our solutions meet the rigorous standards of the healthcare sector. This role offers significant growth opportunities and the chance to make a direct impact in a mission-driven startup. Key Responsibilities - Build and implement scalable, cloud-native systems using **GCP** and **Kubernetes**. - Develop across the full stack using TypeScript, NestJS, PostgreSQL, React, Python. - Work closely with ML engineers to integrate foundation models into production systems. - Ensure code quality and system reliability while meeting healthcare regulations and security requirements. - Participate in code reviews and contribute to technical discussions to improve system design. - Help maintain and improve CI/CD workflows and DevOps practices. Required Qualifications - 5+ years of experience in software engineering. - Strong expertise in cloud infrastructure (e.g., **GCP**), container orchestration (**Kubernetes**), and CI/CD pipelines. - Proven track record of developing and scaling backend systems with a focus on quality and reliability. - Interest in AI and ML, with enthusiasm for working with model integration and LLM systems. - Strong communication skills and ability to work effectively in cross-functional teams. - Experience working in regulated environments, with a focus on compliance and security. Desired Qualifications - Healthcare or medical technology background. - Experience integrating AI/ML models into production systems. - Frontend development experience with React and TypeScript.