Qventus, Inc · 19 hours ago
Senior Machine Learning Engineer - Data Platform
United States
Full-time
Remote
Mid, Senior Level
$180K/yr - $216K/yr
3+ years expQventus is leading the transformation of healthcare with innovative solutions powered by machine learning and AI. They are seeking a Senior Machine Learning Engineer to productionalize and scale machine learning models, ensuring accuracy and reliability in healthcare applications.
AnalyticsArtificial Intelligence (AI)Health CareHospitalMachine Learning
Responsibilities
Build, run, and evolve production ML and LLM systems by implementing feature pipelines, training and retraining workflows, and batch and real-time inference on top of Qventus’ data platform
Monitor and optimize model performance across hospitals, improving accuracy, latency, cost, and reliability
Build and maintain model-level feature pipelines and feature management systems on top of curated datasets to support training, inference, and replay
Collaborate with Data Science leaders to establish best practices for applied ML at Qventus, setting standards for feature design, evaluation, and production readiness through iteration and retraining
Qualification
Required
3+ years building and running machine learning models in production using Python and SQL in modern cloud-based ML environments (AWS & Databricks preferred) & ML frameworks (e.g., scikit-learn, PyTorch, XGBoost, TensorFlow, or HuggingFace)
Demonstrated ability to design and run feature engineering, training, and inference workflows in applied ML systems
Hands-on experience with modern
Familiarity with operationalizing LLMs or retrieval-augmented generation (RAG) systems; Exposure to LLM frameworks and libraries (Langchain, LlamaIndex, HuggingFace, etc.)
Strong understanding of software engineering principles and writing maintainable, modular code
Strong collaboration and communication skills — able to partner closely with product, clinical, and engineering stakeholders
Preferred
3+ years applied or research experience using a wide variety of statistical and machine learning techniques - particularly in NLP, explainable ML (Python)
Experience supporting cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs
Strong background in data quality validation and model monitoring in healthcare or regulated environments
Experience supporting ML Ops infrastructure (model packaging, orchestration, observability, CI/CD)
Prior experience working in healthcare, particularly with EMR, claims, or hospital operations data
Master's degree in Computer Science, Engineering, or related field, or equivalent industry experience
Benefits
Open Paid Time Off
Paid parental leave
Professional development
Wellness and technology stipends
A generous employee referral bonus
Employee stock option awards
Company
Qventus, Inc
Qventus uses AI to intelligently automate operations across care settings and help health systems achieve the margins needed to achieve their mission of delivering exceptional care to their communities.
51-200 employees
H1B Sponsorship
Qventus, Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (1)
2021 (4)
Funding
Current Stage
Late StageTotal Funding
$203MKey Investors
Kohlberg Kravis RobertsFroedtert ThedaCare Health
2025-01-13Series D· $85M
2025-01-13Debt Financing· $20M
2022-08-09Corporate Round· $3M
Leadership Team
Mudit Garg
Founder, CEO
David Atashroo
Chief Medical Officer
Recent News
Norwest
2026-01-07
2025-12-29
2025-12-18
Company data provided by crunchbase