Senior Machine Learning Engineer at Jobgether – United States
Jobgether
United States, United States
Posted on
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About This Position
Senior Machine Learning Engineer
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer in the United States.
This role offers the opportunity to drive innovation at the intersection of AI and healthcare, building production-grade machine learning systems that transform patient care. The Senior Machine Learning Engineer will design, implement, and maintain scalable ML infrastructure, develop modern LLM models, and optimize pipelines for deployment in real-world environments. You will collaborate across multiple teams including Product, Clinical Operations, and Data Science to integrate fragmented healthcare services into cohesive, end-to-end experiences. The role emphasizes technical leadership, infrastructure design, and responsible AI practices, while contributing to a supportive, remote-first engineering culture. You will have a direct impact on shaping solutions that improve patient outcomes and organizational efficiency. This position is ideal for someone with strong ML expertise, problem-solving skills, and a passion for applying AI to meaningful, real-world challenges.
Accountabilities:- Design, develop, and deploy scalable machine learning solutions and LLM models for production use
- Build and maintain ML pipelines with high reliability, observability, and performance standards
- Implement data architecture and infrastructure that enables advanced analytics and model training
- Establish best practices for model versioning, experimentation, reproducibility, and responsible AI development
- Collaborate with cross-functional teams to integrate AI solutions into healthcare products and workflows
- Create internal tools to streamline ML workflows and support data scientists and engineers
- Continuously improve infrastructure for stability, scalability, monitoring, and security
Requirements:
- 5+ years of software engineering experience, focused on production-grade ML systems, MLOps, or backend infrastructure
- Graduate degree in Computer Science, Statistics, or a related quantitative field
- Strong proficiency in Python and SQL, with maintainable code practices for ML applications
- Experience developing and maintaining ML pipelines for model training, evaluation, and deployment
- Hands-on experience with modern LLMs, transformer models, and deployment of ML models in production
- Knowledge of ML infrastructure best practices including versioning, experimentation, and reproducibility
- Familiarity with cloud ML tools (e.g., AWS SageMaker, Bedrock) preferred
- Strong problem-solving, communication, and collaborative skills
- Healthcare domain experience is a plus but not required
Benefits:
- Competitive base salary range of $175,000$200,000 plus equity and comprehensive benefits
- Remote work flexibility with a distributed team
- Opportunities to work on cutting-edge AI solutions that impact patient care
- Professional development and mentorship opportunities
- Inclusive, diverse, and supportive engineering culture
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Job Location
United States, United States
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