The Staff Machine Learning Engineer will develop and maintain MLOps tools, optimize model performance, and collaborate on ML system architecture with a focus on enhancing developer experience.
SmarterDx is transforming how health systems use clinical AI to capture the full value of patient care delivered. Built by physician-data scientists and trained on clinically-validated EHR data, our clinical AI platform interprets the nuances behind every patient story and makes clinically-sound recommendations for revenue cycle teams — helping hospitals recover earned revenue, improve quality metrics, reduce denials, and streamline revenue cycle operations. As a Smartian, you’ll help build technology that makes healthcare more accurate, sustainable, and effective for everyone. Learn more at smarterdx.com/careers.
Role
We are looking for a Staff Machine Learning Engineer to help us build a best in class ML Ecosystem to advance our product suite with clinical AI. The ideal candidate works exceptionally well across disciplines and delivers high quality outcomes continuously, with a relentless focus on reliable systems and developer experience.
**This role is fully remote within the US**
What You’ll Do
- Build and scale machine-learning driven features across multiple products
- Design reusable architecture that powers and accelerates machine learning development across the company
- Set the standard for development and ML practices at SmarterDx and mentor other engineers
What You Bring
You Bring
- 10+ years of development experience with a focus on Machine Learning and Engineering roles
- Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch, Tensorflow)
- Experience with managing the full model production lifecycle, including deployment, release, and post-launch monitoring
- Experience working with a diverse, cross-disciplinary team to integrate machine learning into product features
- Experience with cloud platforms (preferably AWS) and their machine learning services.
- Experience project managing a small team using a modern agile methodology
- Experiencing influencing a cross-disciplinary organization to adopt best practices
- Strong understanding of data engineering and architecture principles.
- Excellent collaboration and communication skills, with a passion for solving challenging problems in a team environment.
Nice To Haves
- You're a former startup founder, or have been the first engineering hire at a startup
- Experience in the health tech domain, particularly in hospital billing systems
- Experience with end-to-end machine learning project lifecycle, from data collection and model training to deployment and monitoring.
- Deployment of LLM systems into Production environments.
- Contributions to open-source projects or active participation in the machine learning community.
Our Tech Stack
- Python, PyTorch, pandas/Polars, Airflow, Snowflake, dbt, AWS, MLflow, Sagemaker, Terraform, K8s
$230-260k base salary
#LI-Remote
Benefits
- Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
- Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
- Remote-First Team – Work from anywhere in the U.S.
- Unlimited PTO & 10 Holidays – So you can relax and recharge.
- 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match.
- Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
- Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead architecture and productionization of a multi-agent, LLM-based AI platform for identity security. Design agent orchestration, context/memory management, and scalable, low-latency infrastructure. Transition prototypes to hardened enterprise pipelines, set reliability and evaluation frameworks for non-deterministic AI, and mentor senior engineers while partnering with product and security leadership.
Top Skills:
Agent FrameworksApi DesignAutogenAWSAzureDistributed SystemsGCPGenaiGoIdentity And Access Management (Iam)JavaLangchainLlmsMicroservicesModel Context Protocols (Mcp)Multi-Agent OrchestrationPython
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead architecture and roadmap for a multi-agent AI platform, design agent orchestration, context/memory management, and productionize LLM capabilities at enterprise scale. Provide technical leadership, establish test/evaluation frameworks for non-deterministic AI systems, mentor senior engineers, and align cross-functional strategy to deploy secure, highly available agent-driven features.
Top Skills:
AutogenAWSAzureDistributed SystemsGCPGoHigh-Throughput Api DesignIamJavaLangchainLlmsMicroservicesModel Context Protocol (Mcp)Python
Fitness • Healthtech • Retail • Pharmaceutical
Lead design and implementation of agentic AI/ML solutions and modern software (APIs, microservices, CI/CD, streaming) on cloud platforms. Bridge legacy IBMi AS400 systems with modern AI, train and fine-tune models, oversee lifecycle, mentor engineers, set technical direction, and improve automation and testing across claims adjudication systems.
Top Skills:
Agentic Ai/MlAPIsAzureCi/CdDataopsDevsecopsGCPGitIbmi As400LlmsMicroservicesOrchestration FrameworksPbm Adjudication SystemsPrompt EngineeringPythonReal-Time StreamingRetrieval-Augmented Generation (Rag)RxclaimVector Databases
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
