> Markdown version of [/jobs/ext/600491-ai-machine-learning-talent](https://www.wearedevelopers.com/jobs/ext/600491-ai-machine-learning-talent). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI / Machine Learning Talent - **Company:** Ensemble Health Partners - **Location:** San Jose, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $154,100.0 - $341,600.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Distributed Systems, Machine Learning, Operational Databases, Performance Tuning, Tensorflow, SQL Databases, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Information Technology, HuggingFace, Data Analytics, Machine Learning Operations, Golang - **Published:** June 23, 2026 - **Apply:** https://ensemblehp.wd5.myworkdayjobs.com/EnsembleHealthPartnersCareers/job/San-Jose-CA/AI---Machine-Learning-Talent_R047059 ## About the Role We are hiring across a range of profiles, but strong candidates will demonstrate: * Proven experience working with machine learning or AI systems in real-world or production settings * Strong problem-solving skills and ability to operate in ambiguous, evolving environments * Ability to connect technical work to measurable business or product outcomes * Experience collaborating across teams (engineering, product, data, or research) * Ownership mindset-taking work from idea through execution and impact, * Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field required * Master's or PhD preferred for certain roles (especially research-oriented positions), but not required for all paths * Relevant industry experience typically ranges from 3+ years (Senior) to advanced leadership/ownership experience (Staff/Principal), This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role's range. ## Description Ensemble Health Partners is the leading Revenue Cycle Management (RCM) partner to U.S. health systems. We sit between hospitals, payers, and patients, and we are responsible for billions of dollars of healthcare revenue moving accurately and on time. AI is increasingly central to how we do that work - from predicting denials and automating coding to flagging payment integrity issues and routing accounts to the right action at the right time. These roles exists where those AI systems meet the business outcomes we are paid to deliver. We are continuously building a pipeline of exceptional AI/ML talent across research, data science, and engineering. This general application allows candidates to be considered for multiple roles across the AI Lab. Final role alignment (e.g., Data Scientist, AI Research Scientist, Machine Learning Engineer) and leveling will be determined based on interview performance, experience, and team needs. What You'll Work On Depending on your background and strengths, you may: * Design, build, evaluate, and improve machine learning and AI systems in production environments * Translate business problems into AI/ML solutions and measurable outcomes * Develop and run experiments to evaluate models, including defining metrics, datasets, and success criteria * Productize models into scalable, reliable, and cost-efficient services * Optimize training and inference performance (latency, throughput, cost) * Analyze real-world system behavior and production data to drive continuous improvements * Partner cross-functionally with engineering, product, and domain experts to deliver end-to-end solutions * Contribute to AI research, experimentation, and adoption of new techniques where applicable * Communicate findings, tradeoffs, and recommendations clearly to both technical and non-technical stakeholders, * Programming: Python (required), plus familiarity with SQL and other languages (e.g., Java, C++, Go) * Machine Learning: Model development, evaluation, and optimization * Deep Learning: Frameworks such as PyTorch, TensorFlow, Hugging Face * LLMs & Modern AI: Fine-tuning, prompt engineering, evaluation frameworks, or emerging techniques (e.g., PEFT, RLHF) * Data & Analytics: Statistics, experimentation, causal inference, and working with real-world datasets * Systems & Infrastructure (Engineer-leaning candidates): + Model serving, APIs, and distributed systems + Training at scale (e.g., multi-GPU / distributed training) + Performance optimization and cost efficiency * Research (Research-leaning candidates): + Experiment design, evaluation rigor + Reading and applying state-of-the-art research + Publication or novel contributions (preferred, not required) ## Related Videos - [AI for decision-making in Tech Recruiting](https://www.wearedevelopers.com/videos/1074-ai-for-decision-making-in-tech-recruiting) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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