About the Team

DoorDash’s ability to build the best products in the industry, enabling local commerce at global scale, depends on its ability to recruit, engage, grow, and retain the best talent in the industry.  The People Applications team at DoorDash leverages state-of-the-art methods and technologies to develop products spanning from recruitment through termination. We're looking for a talented AI Application Engineer to join our team and work closely with the people team to drive key technology decisions and innovations within the People experience. Your contributions will shape the future of the company as we continue to push the boundaries of what is possible around the globe.

About the Role

The DoorDash People Application team is looking for an AI Application Engineer with demonstrated experience and knowledge in launching AI/ML solutions for customer facing applications. You will interact directly with senior leaders and cross-functional partners across DoorDash to understand requirements, design, build end-to-end solutions, and maintain the supporting services for our applications across diverse technical areas for various people functions, all in sync with our people goals.

You're excited about this opportunity because you will...

• Help build the tools and resources that enable our employees to have the best possible employee experience.
• Deploy Generative AI (LLMs) and other cutting-edge ML tools to help scale our technology solutions across the organization.
• Work with a global workforce solving the critical needs of employee and candidate populations reaching tens of thousands of people.
• Own your space and get to be creative as we navigate new areas of people technology and analytics.

We're excited about you because you have....

• Bachelor or Masters degree in Computer Science, Engineering, or a related field. 
• Minimum of 3 years of experience in developing and deploying ML solutions, ideally including LLMs.
• 5+ years of experience in general software development.
• Proficiency in programming languages such as Python and JavaScript.
• You’re proficient with web development using React, Typescript, Express.js, Node.js, and Postgres.
• Experience and proven track record in designing and implementing AI solutions for real-world problems.
• Understanding of machine learning algorithms and principles, including supervised and unsupervised learning, reinforcement learning, neural networks, and natural language processing.
• Experience with data preprocessing, data mining, and data analysis.
• Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, Keras, or Scikit-learn.
• Familiarity with big data technologies such as Hadoop, Spark, and NoSQL databases.
• Proficiency with cloud platforms like AWS, Google Cloud, or Azure, and experience with deploying AI models in a cloud environment.
• Experience with version control systems like Git.
• Experience working in an Agile/Scrum development process.

While not required, it’s preferred you also have:

• Experience with building scalable application with Generative AI, using frameworks such as LangChain, Hugging Face, Llama Index etc.
• Depth of knowledge with RAG implementation and optimization
• Experience with Generative AI development and fine-tuning such setting up prompts prompt flows, agents, guardrails, and knowledge base optimization.

 

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