Senior Machine Learning Research Scientist in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Research Scientist in United States.

This role offers the opportunity to shape the future of clinical AI by developing advanced machine learning systems that directly impact how healthcare organizations interpret care and optimize revenue outcomes. You will work at the intersection of research and production, designing novel algorithms and translating them into scalable, real-world systems used in hospital environments. The position blends deep scientific exploration with hands-on engineering, requiring close collaboration with clinicians, engineers, and data teams. You will help define the research agenda, identify high-impact opportunities in AI/ML, and contribute to cutting-edge advancements in generative models, retrieval systems, and multimodal learning. The environment is fast-moving, research-driven, and highly mission-focused, with strong emphasis on real-world deployment and measurable impact.

In this role, you will lead end-to-end machine learning research initiatives, from ideation and experimentation to production deployment and ongoing model monitoring. You will design novel algorithms, improve existing systems, and help shape the organization’s broader AI research direction.

• Lead research and development of advanced ML models, including LLM alignment, self-supervised learning, and multimodal architectures
• Design, implement, and evaluate new algorithms and baseline models using modern deep learning frameworks
• Collaborate with engineering teams to deploy models into production and ensure performance monitoring and reliability
• Contribute to data-centric AI efforts, including dataset design, curation, and experimental methodology
• Develop novel approaches for retrieval, attribution, hallucination detection, and explainability in generative systems
• Participate in research dissemination, scientific writing, and external academic engagement
• Work closely with cross-functional teams to integrate clinical domain knowledge into ML solutions

This position requires strong expertise in machine learning research, deep learning systems, and the ability to translate theoretical work into production-ready solutions. The ideal candidate combines academic rigor with strong engineering intuition and a product-driven mindset.

• Proven experience in machine learning research, including publications in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL)
• Strong hands-on experience building and training deep learning models using frameworks such as PyTorch or JAX
• Deep understanding of neural network architectures, distributed training, and large-scale model development
• Experience working with multi-GPU or multi-node training environments for large language models
• Ability to deploy research models into production systems and work with MLOps workflows
• Strong analytical, debugging, and problem-solving skills in complex ML systems
• Excellent communication skills with the ability to explain technical concepts clearly
• Interest in healthcare AI and willingness to develop domain expertise in clinical data

• Competitive base salary ($200K–$220K+)
• Medical, dental, and vision insurance with ~75% employer contribution
• 401(k) with 4% employer match (Traditional & Roth options)
• Unlimited PTO plus 10 paid holidays
• Up to 12 weeks of paid parental leave
• Fully remote-first work model across the United States
• Minimal bureaucracy and high-impact research environment
• Strong engineering culture with modern ML tooling and infrastructure
• Collaborative, mission-driven team working on meaningful healthcare outcomes