Make more Creative Job Post Content< Sr Staff Machine Learning Engineer, Generative AI

 - Responsibilities:

Location: San Francisco, CA | Remote (US-Based)
Compensation: $252,000 – $280,000 per year + bonus, equity, and benefits

Are you ready to revolutionize customer support with cutting-edge AI? Uber’s Customer Obsession AI team is on a mission to create magical, data-powered support experiences for millions of users worldwide. By combining NLP, Generative AI, and Computer Vision, we’re building large-scale AI solutions that redefine efficiency, accuracy, and customer satisfaction.

We’re looking for a Senior Staff Machine Learning Engineer with a passion for innovation, deep expertise in NLP/Generative AI, and the ability to deliver real-world, production-ready AI models. If you’re excited about leading transformative projects, mentoring teams, and pushing the boundaries of AI, this is your chance to make a global impact.

What You'll Do

As the Senior Staff ML Engineer, you’ll:

• Drive Innovation: Lead Generative AI initiatives, identify transformative opportunities, and apply cutting-edge techniques to create scalable solutions for Uber’s customer support.
• Develop at Scale: Build and launch large-scale AI models, ensuring they address complex support policies and operate seamlessly at Uber scale.
• Collaborate Across Teams: Work closely with cross-functional stakeholders, including engineers, product managers, and researchers, to bring AI solutions from ideation to production.
• Mentor & Lead: Inspire and mentor engineering teams, fostering a culture of technical excellence and continuous growth.
• Push the Bar: Establish and uphold engineering best practices, ensuring delivery of high-quality, robust, and reliable AI systems.

What You'll Bring

Basic Qualifications:

• Education & Experience:
  • PhD in Computer Science (or equivalent) + 4 years of software engineering experience OR 7+ years of software engineering experience, including 4+ years focused on AI/ML.
• Expertise in NLP & Generative AI:
  • Deep knowledge of Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI models.
• Track Record of Impact:
  • Proven success in developing and deploying large-scale deep learning models to solve real-world challenges.
• Proficiency in ML Frameworks:
  • Hands-on experience with tools like TensorFlow, PyTorch, or Caffe.
• Coding Mastery:
  • Write clean, efficient, and scalable code in languages such as Java or Go.
• Leadership Experience:
  • Demonstrated ability to lead cross-functional teams and deliver results on large-scale projects.
• Growth Mindset:
  • Strong desire to learn, innovate, and inspire others to excel.

Preferred Qualifications:

• Generative AI Product Expertise:
  • Experience building and launching Generative AI products at scale.
• NLP Thought Leadership:
  • Deep understanding of NLP theory and the latest advances in Generative AI.
• Community Contributions:
  • A history of sharing expertise through publications, tech talks, or open-source projects.
• Cross-Organizational Collaboration:
  • Proven ability to influence and collaborate across multiple teams and organizational levels.

Why Join Us?

At Uber, we’re reimagining customer experiences through the power of AI. Our Customer Obsession AI team offers:

• Impactful Work: Build solutions that touch millions of users worldwide.
• State-of-the-Art Tools: Work with cutting-edge AI technologies, from Generative AI to LLMs.
• Collaborative Culture: Be part of a team that values innovation, mentorship, and cross-functional collaboration.
• Growth Opportunities: Take on leadership roles, contribute to Uber’s AI strategy, and shape the future of support experiences.

Compensation & Benefits

For San Francisco-based roles, the base salary ranges from $252,000 to $280,000/year, with eligibility for:

• Bonus Programs
• Equity Awards
• Comprehensive Benefits: Medical, dental, vision, paid time off, parental leave, and more.