AI Research Engineer

Position: AI Research Engineer

Location: Remote (San Francisco Bay Area is a plus)

Company Overview

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.

We are creating 'The AI Workforce'—the world's most advanced society of AI agents capable of thinking, debating, brainstorming, evolving, transacting, and collaborating to solve highly complex tasks. By intelligently partnering with humans, this AI society is heralding a new era of human capabilities. Be part of this journey to shape the future, transform economies, and drive the first wave of human-created intelligent societies—an unprecedented leap where humanity, stepping into the role once held by evolution, crafts intelligence and societies akin to those formed by nature itself.

Position Summary

As an AI Research Engineer at Wand, you will play a critical role in bridging the gap between research and engineering. You will collaborate with research teams to accelerate the development of AI models and systems, taking research concepts from idea to implementation and evaluation to deployment. You will contribute to a variety of tasks, from implementing cutting-edge algorithms and producing experimental results to drafting reports and publications that showcase our breakthroughs. This is a hands-on, research-driven role where you will make an impact on both technical innovation and enterprise AI solutions.

Responsibilities

• - Collaborate with research scientists to design, implement, and optimize AI models and algorithms based on the latest research work.
• - Read and implement ideas from academic research papers, translating them into actionable and iterative engineering tasks in a time-boxed manner.
• - Implement experimental models, evaluate their performance, and iterate on solutions to improve results.
• - Work closely with the engineering team to translate research results into production-ready systems.
• - Contribute to writing reports, research papers, and presentations to showcase project results.
• - Develop and maintain software infrastructure for research experimentation, including datasets, model training, and evaluation tools.
  
  

Key Qualifications

• - Bachelor's, Master's, or Ph.D. degree in Computer Science, AI, or a related field.
• - 3+ years of experience in AI research, ideally in an applied setting.
• - Contributions to novel research, preferably published at top AI/ML venues or impactful datasets or tooling (along with specification of exact contribution)
• - Strong programming skills in Python and experience with machine learning frameworks (TensorFlow, PyTorch).
• - Familiarity with research methodologies, experiment design, and statistical analysis.
• - Demonstrated experience working with state-of-the-art AI models, especially in areas like NLP and multi-agent systems.
• - Ability to read and understand complex academic research papers and translate them quickly into practical implementations.
• - Strong collaboration skills to work across research and engineering teams.
  
  

Preferred Experience

• - Expertise in research infrastructure and tools (e.g., dataset curation, model evaluation pipelines).
• - Prior contributions to academic or industrial research projects in AI.
  
  

Personal Characteristics

• Strong individual contributor with the ability to work independently. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
• Excellent communication and interpersonal skills.
• Continuous drive for improvement and innovation.
• Obsession with customer experience
  
  

What We Offer

• The opportunity to be part of a groundbreaking company, leading the charge in AI assistant technology.
• A dynamic, innovative, and supportive work environment where your contributions have a direct impact on the future of the enterprise software industry.
• Competitive salary, equity options, and comprehensive benefits package.
• Flexible working hours and the option for remote work.
• Continuous learning and development opportunities to enhance your skills and career growth.
  
  

At Wand AI, we believe in empowering our leaders to be pioneers in their fields, constantly pushing the envelope of what's possible. If you are ready to lead with dedication, creativity, and unwavering commitment to excellence, we welcome you to apply.