Research Assistant, Epidemiology
John Hopkins University
Senior Applied Scientist – Legal Tech
Thomson Reuters
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $140,000 - $260,000 per year
Job Level
Senior
Tech Stack
AWSAzureCloudPythonPyTorchTensorflow
About the role
- Innovate: develop new skills and capabilities for CoCounsel (document summarization, legal research, contract analysis, reasoning improvement)
- Lead research initiatives in LLM benchmarking, grounding, LLM agents, and reasoning enhancement
- Build & experiment: design, test, and deploy state-of-the-art models for complex, real-world legal tasks
- Collaborate with engineering teams, product managers, and stakeholders to translate challenges into solutions
- Mentor & lead junior researchers, fostering a culture of learning and creativity
- Communicate research: publish at top-tier conferences and contribute to patents
- Conduct experiments to evaluate performance, reliability, ethical considerations, and user alignment
- Work with engineering to deploy scalable, production-ready models and co-design ML Ops for monitoring and retraining
Requirements
- PhD in Computer Science, AI, or a related field OR Master’s with equivalent research/industry experience
- 5+ years of hands-on experience building and deploying machine learning models in NLP or IR applications
- Expertise in LLMs, including alignment, reasoning enhancement, and grounding techniques
- Strong programming skills (e.g., Python)
- Experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
- Proven ability to translate complex problems into innovative AI applications
- Experience with model deployment and ML Ops processes
- Ability to conduct experiments evaluating reliability, ethics, and user alignment
- Experience mentoring or leading junior researchers
- Preferred: Experience developing and deploying AI assistants or task-specific skills in production
- Preferred: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and distributed ML systems
- Preferred: Knowledge of retrieval-augmented generation, synthetic data creation, and efficient fine-tuning methods
- Preferred: Publications in top-tier ML or NLP conferences and patent contributions
Benefits
- Competitive base salary range $140,000 - $260,000
- May be eligible for an Annual Bonus based on enterprise and individual performance
- Flexible work arrangements (Flex My Way)
- Work from anywhere for up to 8 weeks per year
- Flexible vacation
- Two company-wide Mental Health Days off
- Access to the Headspace app
- Retirement savings (competitive 401k plan with company match)
- Tuition reimbursement
- Employee incentive programs
- Research time and professional development funding
- Comprehensive health, dental, and vision insurance
- Disability and life insurance programs
- Flexible Spending and Health Savings Accounts (FSAs/HSAs)
- Parental leave
- Sabbatical leave
- Paid holidays
- Sick and safe paid time off
- Optional hospital, accident and sickness insurance (employee-paid)
- Optional life and AD&D insurance (employee-paid)
- Fitness reimbursement
- Employee Assistance Program
- Group Legal Identity Theft Protection (employee-paid)
- Access to 529 Plan
- Commuter benefits
- Adoption & Surrogacy Assistance
- Access to Employee Stock Purchase Plan
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningnatural language processinginformation retrievallarge language modelsmodel deploymentML OpsPythonPyTorchTensorFlowsynthetic data creation
Soft skills
mentoringleadershipcollaborationcommunicationproblem-solvingcreativityresearchinnovationevaluationuser alignment
Certifications
PhD in Computer SciencePhD in AIMaster’s in related field