Artificial Intelligence Engineer

4 days ago


Palo Alto, California, United States AIDA Full time

About AIDA

AIDA is the AI Chief of Staff built to empower revenue teams by streamlining workflows, enhancing productivity, and keeping forecasts on track. By capturing commitments across email, CRM, calls, Slack, and more, AIDA highlights next steps, provides essential context to reps, and identifies risks before they escalate. Headquartered in Palo Alto, CA, we are redefining how revenue teams operate through sophisticated, AI-driven automation and intelligence.

About the Role

We are seeking a highly skilled
AI Engineer

to join our team in Palo Alto. In this role, you will design, develop, and optimize AI systems—including neural networks, NLP pipelines, and data processing workflows. You'll work closely with cross-functional partners to identify patterns in large datasets and deliver intelligent, scalable solutions that support AIDA's vision of transforming revenue team operations.

What You'll Do

  • Design and refine AI and machine learning models, including neural networks
  • Implement and optimize NLP techniques for language understanding and workflow automation
  • Analyze large datasets to uncover patterns and generate actionable insights
  • Collaborate with product, engineering, and leadership teams to integrate AI capabilities into the platform
  • Contribute to full-cycle software development and help drive architectural decisions
  • Ensure AI systems are scalable, efficient, and aligned with customer needs and business goals

Qualifications

  • Strong proficiency in pattern recognition and extracting insights from large datasets
  • Solid foundation in computer science principles and software development practices
  • Expertise in
    neural networks

, algorithm design, and modern ML techniques
- Experience working with
NLP tools and methodologies
- Proficiency in programming languages such as
Python

,
Java

, or similar
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related technical field
- Familiarity with
TensorFlow

,
PyTorch

, or similar ML frameworks is a plus
- Strong problem-solving skills and exceptional attention to detail

Additional Job Application Terms

This job is part of LinkedIn's Full-Service Hiring beta program. Eligibility is limited to candidates located in and performing services in the United States, excluding those based in Alaska, Hawaii, Nevada, South Carolina, or West Virginia.

We're committed to making our hiring process as smooth and timely as possible, and we understand that waiting to hear back can add to the anticipation. If you're a potential fit, our team will reach out within two weeks to progress you to the next stage. If you don't hear from us in that time, we encourage you to explore other opportunities with our team in the future, and we wish you the very best in your job search.



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