Sr. Machine Learning Engineer
Akasa · Remote - United States
About this role
**About AKASA** AKASA is building the future of healthcare with AI—providing generative AI solutions for the healthcare revenue cycle. We help health systems capture and communicate the full patient clinical journey, improving clinical quality and documentation accuracy. **Why AKASA** - Raised **$205M+** from investors including **Andreessen Horowitz, BOND, and Costanoa Ventures** - Revenue bookings for our AI-native product suite have grown **20x+** since launching in **2024** - Deployments recognized nationally for real-world GenAI impact in healthcare finance - Customer base includes leading health systems such as **Cleveland Clinic, Duke, Stanford, and Johns Hopkins** --- **Sr. Machine Learning Engineer** You’ll report to the Engineering Manager and work with PhD Researchers, ML Engineers, and healthcare experts. Your code will directly impact customers immediately by building ML services that leverage large proprietary medical and clinical datasets (structured documents, natural language, and images). **Location / Work Model** - Office: **South San Francisco** - Remote supported across teams, with a strong Bay Area presence - Local R&D teams meet in-office **every Wednesday** (expected for this role) --- **What You’ll Do** - Develop state-of-the-art ML solutions for large-scale healthcare problems - Own ML services end-to-end: problem discovery, data pipelines, inference optimization, experimentation, and deployment - Build data pipelines that collect, preprocess, and deliver measurable data quality - Write production-ready, well-tested, efficient software - Develop ML algorithms across **LLMs, probabilistic inference, and computer vision** for tasks like: - medical document entity extraction - medical coding - claim outcome prediction - Build novel, application-specific ML models --- **Skills & Qualifications** - **Master’s** in Computer Science (or similar) - **5+ years** experience in machine learning and data engineering - Experience launching production ML systems from the ground up - Experience with **Large Language Models** (open-source deployments and agentic workflows); ideal: training or fine-tuning LLMs - Proficiency in **Python** and/or **C++** - Cloud/platform development experience such as **Spark, AWS, and Kubernetes (k8s)** - Knowledge of ML frameworks such as **scikit-learn, PyTorch, and TensorFlow** --- **Compensation & Benefits** **Salary Range:** **$175,000–$230,000 + Equity** (final offer depends on location, experience, and other factors) **Benefits include:** - Flexible paid time off (PTO) - Health, dental, and vision coverage - Employer contribution to **HSA** - Generous parental leave - Life insurance (full employee coverage) - Home office stipend - Cell phone/internet reimbursement - Company-paid holidays - **401(K)** plan --- **Equal Opportunity** AKASA is an equal opportunity employer and committed to diversity and inclusion. Reasonable accommodations are available for candidates with disabilities—contact **recruiting@akasa.com** if you need assistance. *Link referenced in the posting:* https://hitconsultant.net/2025/10/13/cleveland-clinic-deploys-genai-for-coding-and-cdi-across-enterprise-powered-by-akasa/
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