Job Title: Staff Software Engineer, Machine Learning Company Name: Smarter Technologies Job Url: https://job-boards.greenhouse.io/smartertechnologies/jobs/4555394005?gh_src=my.greenhouse.search Job Description: Staff Software Engineer, Machine Learning Austin or Remote Join Our Mission to Revolutionize Healthcare Smarter Technologies is the automation and insight platform for healthcare efficiency. As a leading AI-powered revenue cycle management (RCM) platform, we combine proprietary agentic agents, human-in-the-loop AI agents, clinical ontology, and global financial and administrative services. Our comprehensive platform empowers healthcare organizations to automate the entirety of their administrative and financial workflows—driving operational optimization, reducing costs, and enabling better patient experiences. We're looking for an Exceptional ML Engineer for our Platform Engineering team. As a key member of our platform engineering team, you will play a pivotal role in developing and optimizing AI-driven solutions that enhance our end-to-end platform, including our customer-facing web application, backend infrastructure, and developer suite. Your work will empower a community of developers worldwide to build tailored AI solutions for unique customer use cases, enriching the ecosystem of automation modules. **This role is fully remote within the US** Your Role: Innovate: Stay at the forefront of AI/ML advancements, continuously exploring new techniques, models, and tools. Your insights will help drive innovation and keep our platform at the cutting edge of technology. Collaborate: Work closely with core platform and automation engineers, as well as other stakeholders, to identify and address business needs through Machine Learning solutions. You will play a key role in bridging the gap between AI research and practical application. Integrate: Utilize APIs, pre-trained models, and other tools to implement AI-driven features across our platform. You will focus on integrating these capabilities into production systems, enhancing the functionality and performance of our solutions. Optimize: Fine-tune and optimize existing solutions for specific product requirements, ensuring that AI integrations are efficient, scalable, and reliable. Your Qualifications: Bachelor’s or Master’s in Computer Science/Engineering, Data Science, or a related field. Over 4 years of experience in machine learning, with a focus on implementing and integrating AI solutions using APIs and pre-trained models. Proficiency in programming languages such as Python, TypeScript, or similar, with experience in utilizing AI/ML frameworks and tools such as LangChain, LlamaIndex, etc. Familiarity with cloud infrastructure (ideally AWS) and experience in deploying and scaling AI applications. Strong understanding of AI/ML concepts, but with a practical focus on application rather than research. Excellent written and verbal communication skills, with the ability to convey complex AI concepts to technical and non-technical audiences. What Sets You Apart: A practical approach to machine learning, with a focus on delivering tangible results and real-world applications. The ability to navigate and implement cutting-edge AI technologies and tools, including emerging areas like autonomous agents. An entrepreneurial mindset, eager to explore new possibilities and push the boundaries of what AI can achieve. A collaborative spirit, ready to work closely with cross-functional teams and contribute to a shared vision. Strong problem-solving skills and a proactive attitude towards learning and adapting to new challenges. Required Technical Exercise - submissions without this component will not be considered: Please spend no more than 20 minutes completing a quick coding exercise by following the instructions here. California Salary Range $230,000 - $280,000 USD Apply for this job * indicates a required field First Name* Last Name* Email* Phone Country Phone Resume/CV* Attach Enter manually Accepted file types: pdf, doc, docx, txt, rtf Required Technical Challenge * Complete a quick coding exercise by following the instructions here and submit the URL below LinkedIn Profile* Are you authorized to work in the US without sponsorship?* Select... Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. 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