AI Researcher

Wand AI's Mission

Wand AI's mission is to drive a generational leap for the global economy by integrating agent ecosystems into the core of work, business, and society. We are committed to making this shift safe, transparent, and radically efficient.

We build the operating system that powers, manages, and scales agent ecosystems, and the tools that enable seamless collaboration between humans and agents at every level of autonomy.

This transformation will redefine how economies operate, how organizations grow, and how progress is made in an increasingly agent-driven world.

Join AI's Brightest Minds

Work alongside some of the world's best talent from the likes of DeepMind, Microsoft Research, Google Brain, Amazon, Nvidia, IBM, Jasper, and Hubspot. Our team consistently publishes groundbreaking research in the field's most prestigious journals. 

We're Focused on Outcomes

Wand is assembling an elite global team of extraordinary talent—highly driven, high-IQ individuals with exceptional critical thinking abilities, high ownership, and a can-do mentality, ready to fully dedicate themselves, committing extensive hours each week and embracing aggressive timelines to shape the future.

Position Summary:

Wand AI is seeking an exceptional builder to join our team. We are not looking for traditional researchers; we are looking for 0-to-1 problem solvers who can rapidly translate ambiguous ideas into functional, production-ready AI systems. This role is for a high-horsepower individual who thrives on autonomy, learns at an accelerated pace, and has a demonstrated history of excellence. You will own projects from conception to deployment, moving with speed and precision to build the next generation of our AI-powered products.

Responsibilities:

• Design, build, and ship end-to-end AI prototypes and features with a high sense of urgency.
• Own the entire development lifecycle: from understanding a vague problem statement to producing clean, scalable, production-level code.
• Rapidly survey, select, and implement the most effective state-of-the-art models and techniques to solve immediate business problems.
• Work independently to architect and build robust systems, making pragmatic trade-offs between perfection and speed.
• Quickly ramp up on new domains, frameworks, and technologies as needed to get the job done.
• Focus on tangible outcomes and delivering working features to customers: reports and papers are a by-product, not the goal.

Key Qualifications:

• Demonstrated history of exceptional talent and achievement in a rigorous field. This could include, but is not limited to, being a medalist in international competitions (e.g., IMO, IOI, ICPC), a top-ranked competitive programmer, or a key contributor to a major open-source project.
• Proven ability to build complex systems from scratch and a strong portfolio of projects that showcase this skill.
• Expert-level proficiency in Python and deep familiarity with at least one major ML framework (e.g., PyTorch, TensorFlow, JAX).
• Strong software engineering fundamentals, including data structures, algorithms, and writing clean, maintainable code.
• A "ship it" mentality and a deep-seated drive to build things that work.
• Ability to thrive in an unstructured environment with a high degree of ambiguity and autonomy.
• Bachelor's degree in a quantitative field (e.g., Computer Science, Math, Physics) or equivalent, extraordinary practical experience. A Ph.D. is not required.

Preferred Experience:

• Contributions to open-source projects, research tools, or datasets.
• Experience building and deploying full-stack AI applications.
• Familiarity with modern cloud infrastructure (GCP, AWS, etc.) and MLOps tools (Docker, Kubernetes).
• Experience with large-scale data processing and model optimization.
• A public portfolio of projects (e.g., on GitHub) that demonstrates your building skills.

Personal Characteristics:

• Pragmatic and Results-Oriented: Focused on delivering practical solutions and tangible results, not just theoretical advancements.
• Highly Autonomous: A self-starter who is self-directed, resourceful, and comfortable with minimal supervision.
• Intense Curiosity with a Bias for Action: Eager to learn and explore new ideas, but with an immediate focus on turning them into working code.
• High Clock Speed: Thinks, learns, and executes incredibly fast.
• Resilient: Views obstacles as challenges to be overcome and adapts quickly in a fast-moving environment.