Staff Software Engineer – AI/ML
AlphaMeld Corporation
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $180,000 - $250,000 per year
Job Level
Lead
Tech Stack
Python
About the role
- Design, develop and deploy sophisticated ML models to analyze healthcare data and detect anomalies, classify patients according to level-of-care guidelines, and make accurate recommendations
- Develop LLM/NLU systems to process and extract meaningful information from clinical notes and medical documents
- Build data pipelines that scale efficiently while maintaining strict data privacy and security standards
- Establish machine learning & AI best practices, evaluation frameworks, and model governance for future team growth
- Collaborate with backend engineers to integrate AI/ML capabilities seamlessly into the Onos platform
Requirements
- 5+ years experience building and deploying machine learning systems in production
- Significant experience working with data pipelines and Python and related data science/ML libraries
- Experience with developing LLM-based systems and integrating them with user-facing features
- Deep understanding of the limitations of using LLMs and the best practices for using them for reliable, consistent, and accurate outputs
- Customer obsessed and motivated to make an impact in the healthcare space
- A collaborative team player with a focus on delivering measurable results
Benefits
- Flexible hybrid arrangement: 2-3 days/week at San Francisco office (Financial District), remote-first culture
- Unlimited vacation policy
- Paid parental leave
- Medical, dental, and vision insurance
- Pre-tax commuter benefits
- 401(k)
- Significant equity as an early employee
- Direct mentorship from experienced founders
- Ground-floor opportunity to help build a team and culture
- Regular team events and offsites
- Company-provided equipment and home office setup
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningML modelsdata pipelinesPythonLLMNLUdata privacymodel governancedata science librariesanomaly detection
Soft skills
collaborationcustomer obsessionteam playerimpact-drivenfocus on results