Remote AI Research Scientist

Join the Vanguard of Innovation

Imagine shaping the future of machine intelligence while working from the comfort of your home. As a Remote AI Research Scientist, you'll join a visionary team passionate about breakthroughs in artificial intelligence. This isn’t about maintaining the status quo—it’s about defining what’s next. Our work transforms concepts into scalable solutions in neural network design, language understanding systems, and innovative process optimization, and you’ll play a central role in pushing these innovations forward.

Our Mission and Vision

Where Curiosity Meets Purpose

We’re motivated by a bold vision: to make machine intelligence more accessible, ethical, and impactful for everyone. Our founding principles are rooted in curiosity and the conviction that technology should enhance humanity. Through years of iterative research, interdisciplinary collaboration, and a passion for ethical AI, we’ve built a reputation as pioneers in generative models, neural reasoning, and autonomous learning systems.

Our Long-Term Focus

We focus on long-term, scalable AI infrastructure capable of solving real-world problems—whether automating diagnoses in healthcare, forecasting global logistics, or designing inclusive digital ecosystems. Your ideas will turn into code, code into models, and models into systems used by millions worldwide.

Key Responsibilities

What You’ll Be Creating

• ✨ Design experiments to test novel deep learning techniques across different architectures
• 🧰 Explore real-world datasets to develop machine learning models that understand, adapt, and evolve
• 🔎 Conduct model performance evaluations and implement enhancements for improved generalization
• 💡 Partner with engineers to deploy AI prototypes and iterate quickly for production readiness
• ⚖️ Embed ethical AI practices, such as transparency, bias mitigation, and interpretability
• ✈️ Present peer-reviewed research at global AI conferences and contribute to journals

Day-to-Day Collaboration

You’ll lead and contribute to high-impact projects in remote AI research pods—small, agile teams focused on research and delivery. These pods operate autonomously but collaborate openly, ensuring creativity and shared momentum. Your voice matters here, and your decisions will shape product and research direction alike.

Why This Role Stands Out

Career and Technical Growth

• 🌟 Spearhead innovation in emerging topics such as few-shot learning, reinforcement learning, and synthetic data generation
• 📝 Publish and patent your research while making it accessible through open-source platforms
• 🌐 Collaborate with a dynamic team spread across continents with diverse academic and cultural backgrounds
• 🚀 Contribute to cutting-edge real-time AI applications for content curation, personalization, and recommendation
• 📈 Accelerate your growth in a high-autonomy environment where experimentation is encouraged and failure is part of progress

Tools and Technologies

Research Stack

• Industry-standard frameworks: TensorFlow, PyTorch, JAX
• Advanced natural language processing tools: HuggingFace Transformers, spaCy
• Experiment management and reproducibility tools: MLflow, Weights & Biases
• Communication and collaboration: Notion, Slack, GitLab, virtual whiteboards
• Cloud-based infrastructure: AWS, GCP, Kubernetes for large-scale model training

Candidate Profile

The Ideal Skillset

• 🎓 PhD or Master’s degree with research in AI, Computational Science, or related field
• ⚛️ 3+ years of hands-on research experience in deep learning or applied artificial intelligence
• 🤓 In-depth understanding of statistical modeling, probabilistic reasoning, and algorithm design
• 🛠️ Strong coding abilities in Python and experience with scalable ML systems
• 🌟 Record of publishing in top-tier conferences like NeurIPS, ICML, or CVPR
• 🫰 Strong analytical thinking, scientific intuition, and a collaborative mindset
• 🔁 Experience with reinforcement learning, generative models, or unsupervised methods is a plus

Work Environment

Fully Remote, Fully Connected

This is a 100% remote position. You'll work from wherever you thrive best, connected with a globally distributed team that values flexibility, inclusivity, and knowledge-sharing. Daily collaboration occurs asynchronously, supported by structured documentation and bi-weekly virtual check-ins, which help maintain alignment.

We’ve created a remote culture that balances focused solo time with energized group innovation. From virtual brainstorming sessions to code walkthroughs, you’ll have the tools to remain inspired and productive.

Compensation and Benefits

What We Offer

• Annual Salary: $113,102 with bonus eligibility based on performance
• Equity options for long-term ownership
• Research stipends and publication support
• Comprehensive remote-first health, dental, and wellness coverage
• Paid international conference attendance
• Custom learning budgets and mentorship opportunities
• Monthly allowances for home office setup or personal development tools

The Broader Impact

What You’ll Help Build

Your work will directly impact products and technologies used across industries—from intelligent tutoring systems and AI-driven translation platforms to fraud detection tools and dynamic pricing engines. You’ll help shape AI that understands human behavior, adapts to cultural nuance, and responds in real-time.

By driving advancements in contextual understanding, zero-shot learning, and multi-modal fusion, you’ll contribute to more inclusive and responsive machine learning systems. Our projects aren’t theoretical—they solve urgent, global-scale challenges and require pragmatic, human-centered thinking.

Call to Action

Ready to Make a Difference?

We’re not just hiring—you’re joining a mission. This is your opportunity to collaborate with some of the most inquisitive minds in AI, explore original ideas without constraints, and craft solutions that will define the next decade of machine learning.

Are you excited to rethink what AI can become?

Your breakthrough moment begins now—apply today and let’s build the future of intelligence, together.