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Senior Machine Learning Engineer
Dyania HealthSenior ML Engineer designing and deploying scalable ML-driven systems at Dyania Health. Collaborating with teams to translate healthcare challenges into robust solutions and ensuring ML services' reliability.
Tech Stack
Tools & technologiesJavaKotlinMicroservicesNode.jsNoSQLPythonScala
About the role
Key responsibilities & impact- Design, implement, and deploy ML-powered software components within a microservice architecture.
- Lead development and productionization of NLP and transformer-based models for biomedical information processing.
- Own the full ML lifecycle: data preparation, model training, evaluation, optimization, deployment, and inference at scale.
- Architect scalable and maintainable ML infrastructure and services.
- Collaborate cross-functionally with product, UX, and clinical stakeholders to understand requirements and rapidly prototype new capabilities.
- Analyze model and system performance; communicate findings and trade-offs clearly to technical and non-technical stakeholders.
- Ensure reliability, scalability, and security of ML services in production environments.
- Mentor junior engineers and contribute to raising the technical bar across the team.
- Contribute to architectural discussions and strategic technical decisions.
- Champion engineering best practices including testing, CI/CD, version control, and documentation.
Requirements
What you’ll need- 5+ years of industry experience in machine learning-focused software engineering (excluding internships and academic projects).
- Bachelor’s or graduate degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field.
- Strong hands-on experience training, testing, deploying, and serving ML models in production environments.
- Experience with transformer architectures and NLP applications.
- Experience with multi-GPU and multi-node distributed training and inference.
- Proficiency in Python.
- Proficiency in Java (and/or Kotlin/Scala) or C++.
- Experience designing and implementing microservices.
- Professional experience with Git and collaborative development workflows.
- Experience with relational databases and/or NoSQL systems (e.g., knowledge graphs).
- Strong communication skills and ability to explain technical concepts clearly.
Benefits
Comp & perks- Competitive Salary
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Generous Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Training & Professional Development Support
- Remote work
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningNLPtransformer architecturesPythonJavaKotlinScalaC++microservicesmulti-GPU training
Soft Skills
communicationmentoringcollaborationproblem-solvingtechnical explanation