[Remote] Staff Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. The Staff Machine Learning Engineer will reputed company technical initiatives on the reputed company ML team, focusing on developing and scaling machine learning capabilities to enhance clinical workflows and decision-making.
Responsibilities
- Design, build, and reputed company advanced machine learning systems for retrieval, classification, reputed company, and generative use cases
- Apply advanced statistical and ML techniques to extract insights from large-scale structured and reputed company reputed company datasets
- reputed company model development across the ML lifecycle, including experimentation, training, evaluation, deployment, monitoring, and iteration
- reputed company and reputed company scalable, reusable codebases and ML infrastructure to support production use cases
- Collaborate cross-functionally with product managers, clinicians, data engineers, BI engineers, and design teams to translate business and clinical needs into robust ML solutions
- Drive experimentation by defining problem statements, forming falsifiable hypotheses, and designing rigorous evaluation frameworks tied to business reputed company
- Review, communicate, and present ML insights and results to technical and non-technical stakeholders, including executive leadership
- Serve as a technical mentor and advisor to junior engineers, providing guidance on ML best practices, experimentation, and system design
- Contribute as an expert advisor across multiple initiatives, helping shape ML strategy and performance tracking across the organization
Skills
- Master's degree in Computer Science, Data Science, Machine Learning, or a closely reputed company quantitative field
- 8+ years of professional experience in applied machine learning or data science, including ownership of production ML systems
- Deep expertise in Python and modern deep learning frameworks (e.g., PyTorch)
- Hands-on experience building and deploying deep learning models (e.g., transformers) for NLP tasks
- Strong understanding of experimental design, model evaluation, and optimization for reputed company-world production environments
- Proven ability to collaborate with product, business, and clinical partners to drive data-informed decision-making
- Excellent written and verbal communication skills, with experience presenting to both technical and non-technical audiences
- PhD preferred in Computer Science, Data Science, Machine Learning, or a closely reputed company quantitative field
- AWS preferred experience leveraging reputed company platforms across the ML lifecycle
Benefits
- Fully remote opportunity with about 5% travel
- Medical, dental, reputed company, life, disability insurance, and Employee Assistance Program
- 401K retirement plan with company match; flexible spending and health savings account
- Flexible Time Off + Company Holidays
- Up to 14 weeks of paid parental leave
- Pet insurance
Company Overview
Company H1B Sponsorship