> tinycto://roles/cm-role-research-scientist-ai-ml
Research Scientist (AI/ML)
Specialized AI, Machine Learning & MLOps professional focused on formulating novel neural network architectures, attention mechanisms, and objective functions and enterprise-grade execution.
Core Responsibilities
- Execute and maintain production-grade solutions for Research Scientist (AI/ML)
- Collaborate with cross-functional engineering teams and uphold quality standards
Skills Weighting (Durable vs Perishable)
Adjacent Career Transitions
AI Evaluation & Red Teaming Engineer
Domain specialization bridge from Research Scientist (AI/ML) to AI Evaluation & Red Teaming Engineer
AI Safety & Alignment Engineer
Deep technical transition from Research Scientist (AI/ML) into AI Safety & Alignment Engineer
Engineering Manager
Transition from technical individual contribution in Research Scientist (AI/ML) to engineering management
Software Architect
Cross-system architectural boundaries beyond local Research Scientist (AI/ML) scope
Frequently Asked Questions
What are the core technical competencies required for a Research Scientist (AI/ML)?
A Research Scientist (AI/ML) focuses on Formulating novel neural network architectures, attention mechanisms, and objective functions; Conducting foundational machine learning research and authoring peer-reviewed conference publications. Core responsibilities include: Execute and maintain production-grade solutions for Research Scientist (AI/ML), Collaborate with cross-functional engineering teams and uphold quality standards.
What distinguishes a Research Scientist (AI/ML) from adjacent engineering roles?
Unlike adjacent roles, a Research Scientist (AI/ML) is specifically NOT expected to handle: Unfocused generalist work without clear domain deliverables; Pure administrative coordination without technical ownership. Seniority tracks encompass entry, mid, senior levels.
What decision authority and hands-on technical ownership does a Research Scientist (AI/ML) hold?
A Research Scientist (AI/ML) holds primary decision authority over Research direction, experimental hypothesis design, academic manuscript submission.. This role typically maintains an estimated 80% hands-on technical focus with low customer exposure and moderate ambiguity tolerance.
What are the typical promotion ladders and career mobility pathways from Research Scientist (AI/ML)?
Progression within Research Scientist (AI/ML) spans entry → mid → senior seniority tiers. Common adjacent lateral and vertical mobility targets include: Ai Engineer, Generative Ai Engineer, Rag Engineer.
How are compensation benchmarks evaluated for a Research Scientist (AI/ML)?
Salaries for Research Scientist (AI/ML) are aggregated from verified statutory and market reports across 6 tech hubs, normalized with k ≥ 5 cohort suppression to preserve privacy, and evaluated across P10 to P90 percentiles.
Which international visa pathways apply to a Research Scientist (AI/ML)?
Qualifying roles in this family align with statutory shortage criteria under frameworks such as the Germany EU Blue Card (§ 18g AufenthG) and Netherlands Highly Skilled Migrant regulations (Kennismigrant), using official O*NET-SOC (15-1221.00) and ESCO/ISCO-08 classifications.
AI Summary
Research Scientist (AI/ML): Core role responsible for formulating novel neural network architectures, attention mechanisms, and objective functions, decision authority over research direction, experimental hypothesis design, academic manuscript submission., and cross-team execution.