Staff Generative AI Scientist

\n

Accountabilities:

In this role, you will design, develop, and deploy AI and machine learning solutions that address healthcare operational and analytical challenges while contributing to enterprise AI innovation and platform development.

• Collaborate with research, operations, and product stakeholders to identify and evaluate AI-driven business opportunities
• Conduct exploratory data analysis and validate machine learning hypotheses using large-scale healthcare datasets
• Develop, train, benchmark, and optimize generative AI and machine learning models for production deployment
• Build end-to-end AI solutions, including data pipelines, model integration, monitoring, and user-facing applications
• Deploy and maintain production-grade machine learning systems in cloud environments
• Document methodologies, experiments, and model results to support collaboration and reproducibility
• Contribute to the continuous improvement of internal machine learning platforms and AI infrastructure
• Participate in knowledge-sharing initiatives, design discussions, and collaborative research efforts across teams
• Support operational monitoring and ongoing performance optimization of deployed AI models

Requirements

This role requires advanced expertise in machine learning, generative AI, cloud-based deployment, and large-scale data engineering, along with strong collaboration and communication capabilities.

• Graduate degree in Computer Science, Engineering, Statistics, Operations Research, or another quantitative discipline
• 7+ years of hands-on experience in data science, artificial intelligence, or machine learning engineering
• Strong expertise in generative AI, NLP, transformers, LLM fine-tuning, benchmarking, and deployment workflows
• Experience working with tools and frameworks such as HuggingFace, LangChain, OpenAI, Llama, Mistral, TensorFlow, PyTorch, Keras, pandas, scikit-learn, and NLTK
• Proven experience deploying production-grade AI solutions on AWS, Azure, or GCP
• Hands-on experience with distributed data processing technologies such as Apache Spark
• Strong understanding of vector databases, GPU computing, and scalable AI infrastructure
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders
• Strong collaboration, problem-solving, prioritization, and independent execution skills
• Passion for innovation, experimentation, and delivering measurable business impact through AI

Benefits

• Competitive base salary range: $165,000–$190,000 annually
• Eligibility for discretionary performance-based bonus
• Fully remote work environment within the United States
• Comprehensive medical, dental, vision, life, and disability insurance coverage
• 401(k) retirement savings plan
• Paid family leave and generous paid time off (17–27 PTO days based on tenure and level)
• 9 paid holidays annually
• Opportunity to work on large-scale, high-impact healthcare AI initiatives
• Collaborative, innovation-focused culture with strong learning and growth opportunities
• Virtual interview process and flexible remote work setup.

\n

How Jobgether works:

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!

 Why Apply Through Jobgether? 

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.

#LI-CL1