Senior Machine Learning Research Scientist

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.

Accountabilities

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

Requirements

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

Benefits

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

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.

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Senior Machine Learning Research Scientist

Requirements

Benefits

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