Staff ML Research Scientist – Clinical
Rad AI
PyTorch
Lead Applied Scientist
Thomson Reuters
full-time
Posted on:
Location Type: Remote
Location: Remote • Minnesota • 🇺🇸 United States
Visit company websiteSalary
💰 $147,000 - $273,000 per year
Job Level
Senior
About the role
- Design and deploy neuro-symbolic AI systems that seamlessly integrate neural learning with structured knowledge representation and ontologies
- Build multi-modal models that synthesize insights across text, documents, structured data, and domain-specific artifacts
- Explore the emergent intelligence at the intersection of GenAI and machine learning agents, creating autonomous systems that reason and act
- Develop adaptive domain-specific reasoning capabilities that understand the nuances of legal, regulatory, and financial contexts
- Own and lead end-to-end research deliverables—from ideation and experimentation to production deployment
- Establish comprehensive AI evaluation frameworks, quality assessment methodologies, and observability systems that ensure reliability, fairness, and transparency
- Leverage advanced information retrieval techniques, prompting workflows, and model training strategies to optimize solutions
- Shape long-term AI strategy by providing strategic input to business and Labs leadership
- Champion AI personalization and continual learning approaches that make products smarter with every interaction
- Lead stakeholder engagement across UX, Product, and Engineering teams to align AI capabilities with user needs
- Develop in-depth knowledge of customer problems and data
- Mentor scientists and engineers on best practices in applied AI research and production ML systems
- Build expertise in knowledge representation, domain reasoning, and agentic AI architectures
- Foster a culture that balances scientific rigor with pragmatic delivery and customer value
Requirements
- PhD in Computer Science, Machine Learning, AI, or related field (or Master's with equivalent depth of experience)
- 7+ years building production IR/NLP systems for commercial applications with demonstrated business impact
- Strong software engineering capabilities with experience in production code, MLOps, and managed delivery pipelines
- Proven track record translating complex, ambiguous problems into successful AI applications
- Proficiency in AI evaluation, quality assessment, and observability for production systems
- Neuro-symbolic AI architectures that combine learning and reasoning
- Expertise in multi-modal modeling across diverse data types and representation formats
- Hands-on experience with knowledge representation, ontologies, and semantic reasoning systems
- Track record implementing AI personalization and continual learning that adapts to user behavior and feedback
- Experience with adaptive domain-specific reasoning in specialized professional contexts
- Familiarity with emergent intelligence at the intersection of GenAI and machine learning agents
- Demonstrated ability to scale impact through others in applied research or advanced development settings
- Outstanding communication skills
Benefits
- Flex My Way supportive workplace policies
- Flexible work arrangements, including work from anywhere for up to 8 weeks per year
- Comprehensive benefit plans including flexible vacation
- Two company-wide Mental Health Days off
- Access to Headspace app
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Resources for mental, physical, and financial wellbeing
- Optional hospital, accident and sickness insurance
- Optional life and AD&D insurance
- Flexible Spending and Health Savings Accounts
- Fitness reimbursement
- Access to Employee Assistance Program
- Group Legal Identity Theft Protection benefit
- Access to 529 Plan
- Commuter benefits
- Adoption & Surrogacy Assistance
- Employee Stock Purchase Plan
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
neuro-symbolic AImulti-modal modelinginformation retrievalMLOpsAI evaluationquality assessmentobservability systemsknowledge representationontologiessemantic reasoning
Soft skills
leadershipstakeholder engagementmentoringcommunicationstrategic inputproblem-solvingcollaborationcustomer focusscientific rigorpragmatic delivery
Certifications
PhD in Computer ScienceMaster's in related field
