Remote Artificial Intelligence Researcher – Global Talent – Shape the Future of Intelligent Systems

Join a world‑class research team that pushes the boundaries of machine learning, natural language understanding, and generative models—all from the comfort of your home office. We offer a competitive salary, unlimited learning budget, and the autonomy to publish, patent, and influence product direction on a global scale.

About the Role

As an Artificial Intelligence Researcher at Nexus AI Labs, you will design novel algorithms, conduct rigorous experiments, and translate breakthrough research into scalable solutions that power our flagship platforms. You will collaborate with engineers, product managers, and domain experts across time zones, contributing to open‑source publications and internal knowledge bases alike. This position is fully remote; we welcome candidates residing anywhere with a stable internet connection and a passion for advancing AI responsibly.

Key Responsibilities

• Lead end‑to‑end research projects from problem formulation to reproducible code releases.
• Develop and benchmark state‑of‑the‑art models in areas such as large‑scale language modeling, multimodal perception, and reinforcement learning.
• Publish findings at top conferences (NeurIPS, ICML, ICLR, CVPR, ACL) and file patents where appropriate.
• Mentor junior researchers and interns, fostering a culture of scientific rigor and inclusivity.
• Partner with engineering teams to productionize prototypes, ensuring latency, robustness, and ethical compliance.

Requirements

• Ph.D. or equivalent experience in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• Proven track record of first‑author publications in premier AI venues.
• Deep expertise in Python, PyTorch or JAX, and distributed training frameworks (e.g., DeepSpeed, Megatron‑LM).
• Strong mathematical foundations in optimization, probability, and information theory.
• Excellent written and verbal communication skills for technical and non‑technical audiences.

Preferred Qualifications

• Experience with large‑scale data pipelines (Spark, Ray, Apache Beam) and model serving (Triton, TorchServe).
• Contributions to open‑source AI libraries or community benchmarks.
• Familiarity with responsible AI practices: fairness auditing, interpretability, and privacy‑preserving training.
• Prior remote‑first work experience and comfort with asynchronous collaboration tools (GitHub, Notion, Slack, Zoom).

Salary Range

$130,000 – $190,000 USD per year, commensurate with experience, publication impact, and geographic cost‑of‑living adjustments. Equity grants and performance bonuses are included in the total compensation package.

Benefits & Perks

• Unlimited professional development budget (courses, conferences, certifications).
• Home office stipend ($2,500 annually) plus ergonomic equipment allowance.
• Comprehensive health, dental, and vision coverage for you and dependents.
• Four weeks of paid time off plus ten company holidays.
• Quarterly “Research Sprint” weeks dedicated to exploratory projects without deliverable pressure.
• Access to GPU clusters (A100/H100) and cloud credits on AWS, GCP, and Azure.

Culture & Values

Nexus AI Labs operates on a trust‑first philosophy: outcomes matter more than hours logged. Our distributed team spans 30+ countries, and we celebrate diverse perspectives through monthly “AI Ethics Roundtables,” hackathons, and virtual coffee chats. Transparency is baked into our workflow—research logs, experiment trackers, and decision records are openly shared across the organization.

How We Work

• Asynchronous by default: detailed RFCs, design docs, and experiment notebooks replace meetings.
• Weekly sync (30 min) for alignment, followed by optional deep‑dive sessions.
• Quarterly on‑site retreats (optional) for team building and strategic planning.
• Performance reviewed on impact metrics: publications, model improvements, and knowledge‑transfer activities.

Next Steps

If you are ready to shape the next generation of intelligent systems while enjoying the freedom of a fully remote career, we encourage you to prepare a concise research statement (max 500 words) and a link to your most representative code repository. Our hiring committee reviews applications on a rolling basis and aims to respond within two weeks.