**Experienced Full Stack Machine Learning Customer Solutions Engineer – Medical Imaging and AI Foundation Model Integration**

At arenaflex, we're revolutionizing the medical imaging industry with our cutting-edge AI foundation model, designed to integrate seamlessly with radiological clinical software. As a key member of our team, you'll play a vital role in supporting healthcare organizations in fine-tuning our machine learning foundation models for specific radiology tasks, ensuring optimal clinical outcomes and successful implementation. **About arenaflex** arenaflex is a pioneering company at the forefront of innovation in medical imaging, developing the first multimodal AI foundation model. Our deep learning platform, unique for its proprietary privacy-compliant trust architecture, integrates diverse data sources with cutting-edge AI/ML development. arenaflex is co-founded by Dr. Khan Siddiqui, a visionary leader with a prolific background including founding higi, former roles at Hyperfine (NASDAQ:HYPR), and Microsoft. **Role Description** As an Experienced Full Stack Machine Learning Customer Solutions Engineer, you'll be responsible for supporting healthcare organizations in integrating our machine learning foundation models into their radiological clinical software. This role requires a blend of technical expertise, client engagement, and strong collaboration and communication skills to ensure successful implementation and optimal clinical outcomes. **Key Responsibilities** * **Fine-Tuning:** + Collaborate with clients to fine-tune foundation models for specific radiology tasks (e.g., anomaly detection, image segmentation) using various fine-tuning methodologies such as prompt engineering, parameter-efficient fine-tuning, etc. * **Pre-Sales Support and Demos:** + Partner with client experience to deliver demos and facilitate technical discussions, highlighting the foundation model's capabilities to potential clients. * **Client Support and Integration:** + Serve as the primary technical contact for our clients, working closely with application developers and serving as a trusted advisor to implement solutions using our foundation models. * **Workflow Optimization:** + Ensure AI models fit seamlessly into radiological workflows, optimizing outputs for clinical decision-making. * **Cross-Functional Collaboration:** + Work closely with product, engineering, and client engagement teams to address client needs and feedback. + Assist in translating complex technical findings into actionable insights and recommendations for non-technical stakeholders, contributing to impactful business decisions. * **Documentation:** + Assist with development of technical materials, including integration guides, training documents, and best practices for model fine-tuning. + Solicit, summarize and document platform and tooling requirements and feature requests for the product development team. + Preparation of model details to be used for client regulatory documentation as it relates to specific fine-tuning use cases. **Minimum Qualifications (Knowledge, Skills, and Abilities)** * **Experience:** 7-10 years' total experience, including 3-5 years in a technical client-facing role with previous experience working on machine learning projects and industry knowledge of standard technologies in the machine learning space. * **Technical Skills:** Proficiency in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and understanding of radiological software (PACS, DICOM). * **Communication:** Strong ability to explain and present complex technical concepts to both technical and non-technical stakeholders. * **Education:** B.S. degree in a quantitative field such as Computer Science, Engineering, or comparable degree/experience. **Preferred Qualifications** * **Experience with Generative LLM Fine-Tuning and Prompt Engineering** * **Experience with Cloud Native Architecture, including Machine Learning Model Development and Deployment, in a Client-Facing or Support Role** * **Experience with RESTful APIs, Radiology Workflow Orchestration Tools, and Medical Interoperability Standards** * **Familiarity with Pre-Sales Processes, including Delivering Demos, Gathering Requirements, and Customizing Solutions for Clinical Environments** * **Previous Experience within a Team that Underwent a High Growth Stage** **What We Offer** * A key role in a fast-growing startup with immense potential. * An innovative, collaborative, and supportive work environment. * Competitive salary and benefits package. **Essential Job Functions** * arenaflex is committed to providing reasonable accommodation to employees with disabilities, as required by law. We encourage those with disabilities to request accommodations if needed to perform the essential functions of the job. * The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * While performing the duties of this job, the employee may be regularly required to stand, sit, talk, hear, reach, stoop, kneel, and use hands and fingers to operate a computer, telephone, and keyboard. * Specific vision abilities required by this job include close vision requirements due to computer work. * Regular, predictable attendance is required; including quarter-driven hours as business demands dictate. * Some travel is required. **Work Environment** * arenaflex is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. * arenaflex is committed to providing a safe and healthy work environment for all employees. **How to Apply** If you're passionate about medical imaging and AI, and you're looking for a challenging and rewarding role, please submit your application to arenaflex. We can't wait to hear from you! Apply for this job