Remote Artificial Intelligence Researcher – United States – Shape the Future of Intelligent Systems

Join a globally distributed research team that pushes the boundaries of machine learning, natural language understanding, and generative models. This fully remote position lets you collaborate with world‑class scientists while enjoying the flexibility to work from anywhere in the United States.

About the Role

As an Artificial Intelligence Researcher, you will design, prototype, and evaluate novel algorithms that power next‑generation AI products. You will own the research lifecycle from literature review and hypothesis formulation to reproducible experiments and production‑ready code. Your work will directly influence products used by millions of users, and you will publish findings at top conferences such as NeurIPS, ICML, and ACL.

Key Responsibilities

Research & Development

• Identify high‑impact research problems in deep learning, reinforcement learning, or multimodal AI.
• Develop scalable model architectures and training pipelines using PyTorch, JAX, or TensorFlow.
• Conduct rigorous ablation studies and benchmark against state‑of‑the‑art baselines.

Collaboration & Knowledge Sharing

• Partner with engineering, product, and design teams to translate research into reliable features.
• Mentor junior researchers and contribute to internal reading groups and tech talks.
• Prepare manuscripts for peer‑reviewed conferences and open‑source releases.

Experimentation Infrastructure

• Maintain and improve distributed training clusters on cloud platforms (AWS, GCP, Azure).
• Automate experiment tracking, hyper‑parameter optimization, and model versioning.

Requirements

Education & Experience

Ph.D. in Computer Science, Machine Learning, Statistics, or a related field, or a Master’s degree with 3+ years of industry research experience. A strong publication record in top-tier venues is highly valued.

Technical Skills

• Expert-level proficiency in Python and modern deep‑learning frameworks.
• Hands‑on experience with large‑scale GPU/TPU training, mixed‑precision, and model parallelism.
• Solid grasp of probability, optimization, and information theory fundamentals.
• Familiarity with MLOps tools (MLflow, Weights & Biases, Kubeflow) and CI/CD pipelines.

Soft Skills

Exceptional written and verbal communication, ability to distill complex ideas for cross‑functional audiences, and a collaborative mindset that thrives in an asynchronous, remote‑first culture.

Salary Range

$120,000 – $180,000 USD per year, commensurate with experience, publications, and impact. Equity grants and performance bonuses are included in the total compensation package.

Benefits & Perks

• 100 % remote work with a generous home‑office stipend.
• Comprehensive health, dental, and vision coverage for you and dependents.
• Unlimited PTO plus 10 company‑wide holidays.
• Annual learning budget ($3,000) for conferences, courses, and certifications.
• Quarterly team off‑sites (virtual or in‑person) to foster connection.
• 401(k) matching up to 5 % and flexible spending accounts.

Culture & Remote Work Philosophy

Our organization embraces a results‑only work environment. We trust you to manage your schedule, choose the tools that make you productive, and communicate transparently through async channels (Slack, Notion, GitHub). Regular virtual coffee chats, hack weeks, and open‑source contribution days keep the community vibrant despite geographic distance.

How to Succeed in This Role

Success comes from a blend of curiosity, rigor, and pragmatism. Prioritize reproducible research, document decisions meticulously, and seek feedback early. Leverage the distributed nature of the team to gather diverse perspectives, and turn experimental insights into scalable solutions that delight users worldwide.