Doordash - San Francisco, CA

posted 2 months ago

Full-time - Mid Level
San Francisco, CA
Couriers and Messengers

About the position

The DoorDash People Application team is seeking an AI Application Engineer who will play a pivotal role in shaping the future of the company by developing and deploying AI/ML solutions for customer-facing applications. This position requires a deep understanding of machine learning technologies and the ability to translate complex requirements into effective solutions that enhance the employee experience. The successful candidate will work closely with senior leaders and cross-functional partners to design, build, and maintain end-to-end solutions that align with the company's people goals. This role is crucial in leveraging state-of-the-art methods and technologies to create tools and resources that empower employees and improve their overall experience at DoorDash. As an AI Application Engineer, you will be responsible for deploying Generative AI and other advanced machine learning tools to scale technology solutions across the organization. You will engage with a global workforce, addressing the critical needs of both employees and candidates, impacting tens of thousands of individuals. This position offers the opportunity to own your space creatively, navigating new areas of people technology and analytics, and contributing to the innovative culture at DoorDash. Your work will directly influence the company's ability to recruit, engage, and retain top talent, which is essential for DoorDash's mission to empower local economies and enhance local commerce on a global scale.

Responsibilities

  • Help build the tools and resources that enable employees to have the best possible employee experience.
  • Deploy Generative AI (LLMs) and other cutting-edge ML tools to help scale technology solutions across the organization.
  • Work with a global workforce to solve the critical needs of employee and candidate populations reaching tens of thousands of people.
  • Design, build, and maintain end-to-end solutions for various people functions in alignment with company goals.
  • Collaborate with senior leaders and cross-functional partners to understand requirements and drive technology decisions.

Requirements

  • 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.
  • Proficient with web development using React, Typescript, Express.js, Node.js, and Postgres.
  • Experience 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.

Nice-to-haves

  • Experience with building scalable applications 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 as setting up prompts, prompt flows, agents, guardrails, and knowledge base optimization.

Benefits

  • 401(k) plan with employer match
  • Paid time off
  • Paid parental leave
  • Wellness benefits
  • Paid holidays
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • Disability insurance
  • Basic life insurance
  • Family-forming assistance
  • Commuter benefit match
  • Mental health program
  • Equity grants opportunities
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service