FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Lead AI Research Scientist
Lucas James Talent Partners. Direct advanced research in natural language processing, computer vision, signal processing, and AI reasoning .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in leading advanced research in AI, particularly in natural language processing, computer vision, and signal processing, with a strong focus on AI safety and software engineering. Proven ability to secure research funding, manage independent research programs, and effectively communicate findings at academic conferences.
Highest-signal resume keywords
PhD In Computer ScienceAI Safety ResearchAdvanced AI EngineeringResearch Proposal DevelopmentData Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Natural Language ProcessingComputer VisionSignal ProcessingAI ReasoningSoftware EngineeringExperimental DesignData AcquisitionTechnical Specification EvaluationResearch Program ManagementAI Evaluation Tools
Soft Skills
Excellent Communication SkillsCollaborationProblem SolvingLeadership
Industry Keywords
AI SafetyResearch FundingCompetitive ProposalsKeynote PresentationsAcademic Conferences
About the role
Key responsibilities & impact- Direct advanced research in natural language processing, computer vision, signal processing, and AI reasoning
- Lead AI safety research, including literature surveys, experimental design, AI/software engineering, data acquisition, data analysis, and documentation
- Formulate, design, and manage independent test and evaluation research programs focused on protecting the public from AI system harms
- Lead and contribute to competitive research proposals using Heilmeier criteria to define scope, methodology, and deliverables
- Serve as principal investigator for Digital Safety independent test and evaluation research programs
- Apply advanced technology and AI/software engineering knowledge to execute and manage research programs
- Analyze experimental results, determine causes of problems, develop solutions, and evaluate technical specifications
- Plan, design, and complete procedures to validate testing and evaluation results
- Design and execute research challenges using and improving DSRI evaluation tools
- Lead the AI specialty community in solving problems important to transition partners
- Propose and host workshops at leading AI safety research conferences
- Read papers and scientific publications and attend academic conferences to stay current with changing technologies
- Contribute to department-specific and cross-functional initiatives
Requirements
What you’ll need- PhD in Computer Science with a focus in the applicable AI area of specialty
- 8 or more years of directly related research experience
- Demonstrated general knowledge of AI and software engineering disciplines
- Demonstrated experience securing research funding through competitive proposal development
- Demonstrated ability to write and win proposals for leading research workshops
- Demonstrated ability to attract invitations to give keynote presentations
- Excellent communication skills
- Advanced AI engineering, software engineering, and data analysis skills
- Ability to collaborate effectively with research scientists, engineers, team members, and external partners
- Ability to publish research results at leading academic conferences
- Substantial knowledge of state-of-the-art AI and software engineering principles and theories
Benefits
Comp & perks- Bonus compensation eligibility
- Comprehensive medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- 401(k) matching of up to 5% of eligible pay
- Additional 4% retirement savings contribution after the first year of continuous employment
- Flexible working arrangements may be available depending on the role
- Paid vacation days
- Paid holidays
- Paid sick days
- Paid volunteer days
- Targeted development, reward, and recognition programs
- Collaborative work with a diverse team of experts
- Opportunities to attend academic conferences
- Opportunities to host workshops at leading research conferences