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Tennr

Tennr

www.tennr.com

2 Jobs

169 Employees

About the Company

Tennr takes healthcare providers from fax to first visit, faster. Using RaeLM(tm), the only vision-language model trained to interpret unstructured medical records against complex payor criteria, Tennr helps ensure payor-ready documentation, boost conversions, and cut first-pass denials.

Listed Jobs

Company background Company brand
Company Name
Tennr
Job Title
Machine Learning Engineer
Job Description
**Job title:** Machine Learning Engineer **Role Summary:** Design, develop, and deploy machine learning models and data pipelines that transform unstructured healthcare data into actionable insights, driving automation of referral workflows and improving patient outcomes. **Expactations:** Own end‑to‑end product development for ML models, ensuring they are scalable, robust, and continuously monitored; translate business and technical requirements into efficient ML solutions; collaborate across engineering, product, sales, and customer success to iterate on model performance and product impact. **Key Responsibilities:** - Architect, train, deploy, and monitor production-ready ML models (LLMs, VLMs, computer vision). - Build and optimize scalable data processing pipelines and ML infrastructure on cloud platforms. - Design backend workflows that integrate ML for process automation. - Fine‑tune and evaluate models for medical document understanding and multi‑model pipelines. - Collaborate with product and customer teams to gather feedback, implement enhancements, and define evaluation metrics. **Required Skills:** - 3+ years of ML research/engineering experience post‑BS/MS. - Proven ability to deliver scalable web applications in high‑volume workflow automation. - Hands‑on experience integrating models into production (REST, gRPC, batch). - Strong knowledge of NLP, vision‑language models, and traditional computer vision techniques. - Proficiency in Python, PyTorch/TensorFlow, and ML frameworks (Hugging Face, LangChain, etc.). - Expertise in data engineering (ETL, Spark, Pandas), streaming, and cloud services (AWS/GCP/Azure). - Experience with MLOps tools (MLflow, Kubeflow, Airflow, DAGs). - Ability to translate complex problem statements into actionable solutions and iterate rapidly. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or related field. - Valid certifications in cloud platforms or ML (optional but advantageous).
New york, United states
Hybrid
Junior
07-02-2026
Company background Company brand
Company Name
Tennr
Job Title
Backend Software Engineer
Job Description
**Job Title** Backend Software Engineer **Role Summary** Design, build, and maintain scalable backend services and infrastructure that deliver direct customer value. Lead high‑volume workflow automation, data processing, and machine learning integration. Optimize performance, reliability, and adherence to best practices across the entire stack. **Expectations** - 3+ years of backend development experience, primarily with JavaScript and TypeScript. - Proven ability to architect and ship scalable web applications in fast‑paced environments. - Experience integrating production‑grade machine learning models and optimizing data pipelines. - Strong problem‑solving, clean‑code habits, and excellent communication skills. **Key Responsibilities** - Architect and implement end‑to‑end features that drive customer value across backend services. - Lead initiatives for high‑volume workflow automation, designing and maintaining complex ML‑powered workflows. - Own performance optimization efforts to ensure scalability, reliability, and coding best practices. - Collaborate with sales, customer success, and engineering teams to incorporate user feedback and deliver robust solutions. - Proactively drive projects from conception through completion, contributing to product growth. **Required Skills** - Backend architecture and development (Node.js, Express, or similar). - JavaScript and TypeScript proficiency. - Event‑driven system design and orchestration frameworks (e.g., Airflow, Prefect, Celery). - Data modeling, relational and NoSQL database design. - Large‑scale data processing and machine learning pipeline integration. - Performance tuning, monitoring, and scalable system design. - Clean coding practices, automated testing, and CI/CD pipelines. - Strong problem‑solving and communication abilities. - Team collaboration and cross‑functional coordination. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent work experience). - No mandatory certifications specified.
New york, United states
On site
Junior
08-03-2026