Wand AI

AI Researcher

Wand AI

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow

About the role

  • 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.
  • Join AI’s brightest minds and work with top talent from DeepMind, Microsoft Research, Google Brain, Amazon, Nvidia, IBM, Jasper, and Hubspot.
  • Focused on outcomes; elite global team; high ownership, and aggressive timelines to shape the future.
  • 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 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.

Requirements

  • Demonstrated history of exceptional talent and achievement in a rigorous field (e.g., IMO, IOI, ICPC) or top-ranked competitive programmer
  • Proven ability to build complex systems from scratch and a strong portfolio of projects
  • 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; Highly Autonomous; Intense Curiosity with a Bias for Action; High Clock Speed; Resilient