Demo

AI Solutions Engineer

Saunders Workplace Associates
Hayward, CA Full Time
POSTED ON 2/8/2025
AVAILABLE BEFORE 5/7/2025

AI Solutions Engineer

Location : San Francisco

Salary : $110K - $150K

CLIENT PROFILE

Join our dynamic team of innovators, backed by leading investors, as we transform the ML infrastructure landscape. If you're passionate about tackling engaging challenges while contributing to the creation of groundbreaking solutions, this role is your opportunity to make a significant impact!

THE ROLE

As an AI Solutions Engineer, you will play a crucial role in managing and resolving support requests, curating our knowledge base, and leveraging various tools to troubleshoot and enhance user experiences. You will work directly with our users, gaining insights from their experiences to continually refine our support processes and improve the overall user journey.

RESPONSIBILITIES :

  • Resolve critical user issues and design tools that facilitate the seamless deployment of ML models at scale.
  • Own and enhance our Product Knowledge Base to ensure users have access to comprehensive resources.
  • Collaborate closely with the Forward Deployed Engineering team to troubleshoot and resolve complex ML pipeline issues, encompassing data preprocessing to model serving.
  • Assist users in optimizing ML model performance by working with technologies such as TensorRT for GPU acceleration.
  • Become an authority in our open-source Truss library, contributing to its development and ensuring efficient packaging of diverse ML models for our users.
  • Identify trends in user feedback to influence our product roadmap, especially related to ML model deployment and scaling features.
  • Take ownership of projects from inception to completion, acting as both an engineer and a project manager, with a dedication to user understanding and effective execution.
  • Demonstrate sound judgment in navigating ambiguity, making informed choices on tools and solutions while minimizing unnecessary complications.
  • Exhibit pride and accountability in your work, fostering a similar spirit within the team.

REQUIREMENTS :

  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field.
  • A minimum of 3 years of professional experience in a fast-paced, high-growth environment.
  • Proven experience in addressing critical user issues and creating tools for smooth ML model deployment.
  • Proficiency in troubleshooting complex ML pipelines, including data preprocessing and model serving strategies.
  • Solid understanding of ML model optimization techniques, particularly those involving GPU acceleration with TensorRT.
  • Experience with open-source libraries and contributions, especially related to ML model packaging.
  • Ability to analyze and leverage user feedback to drive product improvements.
  • Capable of managing projects end-to-end, from initial specification to final execution.
  • BENEFITS :

  • Competitive compensation package, including Unlimited PTO, 401k, and fully covered healthcare premiums.
  • An exciting opportunity to join a rapidly growing startup within one of the most groundbreaking engineering fields today.
  • A collaborative and inclusive work culture that promotes continuous learning and professional growth.
  • Access to networking opportunities and insights into a variety of ML startups, enhancing your career journey.
  • Salary : $110,000 - $150,000

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