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Career Details

Job Description:

AI Research Scientist

Join our research team to push the boundaries of Eve’s cognitive capabilities and accelerate our progress towards AGI. You will be responsible for exploring, prototyping, and validating next-generation AI techniques outlined in our AGI roadmap, transforming theoretical concepts into practical modules that can be integrated into Eve’s core architecture.

Responsibilities:

  • Advance the AGI Roadmap: Design and run experiments for Phase 1 and 2 of the AGI roadmap, focusing on metacognition, autonomous learning, and universal problem-solving.
  • Metacognitive Prototyping: Develop and test prototypes for Eve's self-reflection and performance-monitoring capabilities. This includes creating agents that can analyze their own failures and suggest improvements.
  • RLHF & Alignment: Design and implement the pipeline for Reinforcement Learning from Human Feedback (RLHF) to fine-tune our models and align agent behavior with user intent and safety protocols.
  • Cognitive Architecture: Collaborate with the engineering team to integrate novel research components into Eve's `Unified Cognitive Architecture`, ensuring that new capabilities are robust and scalable.
  • Publish & Present: Document and share research findings internally and externally through papers, blog posts, and conference presentations.

Preferred Qualifications:

  • PhD in Computer Science, AI, or a related field, or equivalent industry experience with a strong publication record at top-tier conferences (e.g., NeurIPS, ICML, ICLR).
  • Demonstrable research expertise in one or more of the following areas crucial to Eve's AGI roadmap: Reinforcement Learning from Human Feedback (RLHF), agent alignment, online learning, metacognition in AI, or autonomous systems.
  • Proven ability to translate theoretical research into working prototypes. The ideal candidate has not only published papers but has also built systems that demonstrate their research concepts.
  • Strong proficiency in Python and deep learning frameworks like PyTorch or JAX. Familiarity with TypeScript is a significant plus for collaborating with the engineering team.
  • Experience designing and implementing novel reward models and alignment techniques for Large Language Models.

Benefits Package (Canada & UAE)

Global (all roles)

  • Stock options (standard 4‑year vest, 1‑year cliff; refresh grants annually)
  • Competitive salaries
  • Quarterly employee travel coupon
  • Paid time off: 20 days + local holidays (min), flexible sick days
  • Medical, dental, and vision insurance (company‑sponsored)
  • Life insurance and disability benefits
  • Fitness discounts / wellness stipend
  • Tech equipment (laptop + peripherals; home‑office stipend)
  • Community involvement: 4 hours/month paid volunteer time
  • Company‑sponsored tech talks and happy hours

Canada‑specific

  • RRSP matching (company match up to 4% base)
  • Health Spending Account (HSA) or Lifestyle Spending Account (LSA)
  • Parental leave top‑ups aligned to provincial standards
  • Flexible work: hybrid/remote within jurisdiction

UAE‑specific

  • Health insurance compliant with UAE regulations (dependents eligibility by level)
  • Annual flight allowance (by level), relocation support
  • End‑of‑service gratuity per UAE labor law
  • Housing/transport allowances (as cash or consolidated TC)
  • Flexible work: hybrid/remote within jurisdiction
$130,000 CAD/year

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