Remote Artificial Intelligence Researcher – Shape the Next Generation of Intelligent Systems

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Join a pioneering AI lab as a fully remote Artificial Intelligence Researcher, where you will design novel algorithms, push the boundaries of machine learning, and publish groundbreaking work. This role offers the freedom to work from anywhere while collaborating with top-tier scientists and engineers on high-impact projects that redefine what machines can learn.

About the Role

We are seeking a visionary and technically rigorous Artificial Intelligence Researcher to join our distributed team. In this fully remote position, you will conceive, implement, and validate new AI models and techniques—from foundational deep learning architectures to advanced reinforcement learning and generative systems. You will have the autonomy to explore high-risk, high-reward ideas, while also contributing to production-grade solutions that scale. Your work will directly influence product roadmaps, academic publications, and open-source communities. If you thrive on first principles thinking, rigorous experimentation, and translating research into real-world impact, this role is your platform.

Key Responsibilities

• Design and conduct original research in areas such as large language models, multimodal learning, representation learning, or neuro-symbolic AI.
• Implement and benchmark novel algorithms using PyTorch, JAX, or TensorFlow; scale experiments across distributed compute clusters.
• Collaborate with engineering and product teams to transfer research into production systems, ensuring robustness, efficiency, and ethical alignment.
• Publish findings in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL) and contribute to open-source repositories.
• Mentor junior researchers and interns, fostering a culture of scientific rigor and intellectual curiosity across time zones.
• Stay at the frontier of AI advances, critically evaluating new papers and integrating promising techniques into the team’s research agenda.

Requirements

Essential Qualifications

• Ph.D. (or Master’s with exceptional publication record) in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
• Strong publication record at top-tier venues (NeurIPS, ICML, ICLR, AAAI, CVPR, EMNLP, etc.).
• Deep understanding of modern deep learning theory, optimization, and probabilistic modeling.
• Proficiency in Python and at least one major deep learning framework (PyTorch, JAX, TensorFlow).
• Experience with large-scale training, distributed computing (e.g., Ray, GPUs, TPUs), and experiment management (e.g., Weights & Biases, MLflow).
• Excellent written and verbal communication skills—able to articulate complex ideas to both technical and non-technical stakeholders.
• Self-motivated and able to work asynchronously in a remote-first environment with minimal supervision.

Preferred Qualifications

• Postdoctoral experience or industry research lab background (e.g., DeepMind, OpenAI, FAIR, Google Brain, Microsoft Research, Anthropic).
• Hands-on experience with generative AI (diffusion models, autoregressive transformers, GANs), reinforcement learning from human feedback (RLHF), or causal inference.
• Contributions to open-source AI frameworks or libraries.
• Familiarity with MLOps, containerization (Docker, Kubernetes), and CI/CD for research pipelines.
• A track record of deploying research models into production at scale.

Salary & Compensation

Salary Range: $140,000 – $210,000 USD per year, commensurate with experience, publication record, and impact. This range is benchmarked against top AI research roles globally for fully remote positions. Additional compensation includes equity grants, annual performance bonuses, and a generous stipend for conference travel, compute resources, and professional development.

Benefits & Perks

• 100% Remote – Work from Anywhere: Synchronize with a distributed team across North America, Europe, and Asia. Flexible hours that respect your time zone and life rhythm.
• Unlimited Compute Budget: Access to dedicated GPU/TPU clusters and cloud credits (AWS, GCP, Azure) for your experiments.
• Research Autonomy: Dedicated time for blue-sky research, paper reading, and side projects. No rigid roadmaps—impact drives priorities.
• Publication Support: Full funding for top-tier conference attendance (registration, travel, lodging) and open-access fees.
• Generous Time Off: Unlimited PTO with a minimum recommended 4 weeks per year, plus all major holidays.
• Health & Wellness: Comprehensive medical, dental, and vision insurance (covered 100% for employee and dependents) – with options that work globally.
• Home Office Stipend: $5,000 one-time setup + $200/month recurring for internet, ergonomics, and productivity tools.
• Equity & Profit Sharing: Competitive stock option package and annual profit-sharing pool.

Why Join This Team?

This is not a routine research role—it is a chance to operate at the bleeding edge of AI capability. You will be part of a culture that values depth over speed, collaboration over competition, and long-term thinking over short-term wins. Your colleagues are published authors, former professors, and Kaggle Grandmasters who believe that the best science happens when brilliant minds have the freedom to explore. The work you do here will be cited, built upon, and shipped to millions of users. If you are ready to advance the state of the art while enjoying the flexibility of a fully remote life, we want to hear from you.

Our Commitment to Inclusion

We are an equal opportunity employer committed to building a diverse and inclusive team. We encourage applications from candidates of all backgrounds, identities, and experiences. Research shows that women and members of underrepresented groups often hesitate to apply unless they meet every qualification—if you are excited about this role and meet most of the criteria, please apply. Your perspective is essential to responsible AI.

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This is a fully remote, work-from-anywhere position. No relocation required. We welcome applicants from all countries and time zones where our team operates.

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