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Member of Technical Staff (Frontier AI)

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Remote · Full Time

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Experience
Any
Salary
USD 600,000 – USD 2,000,000 / year
Openings
1
Posted
3 weeks ago
Work mode
Work from home
Education
PhD
Eligibility
Professionals with a PhD in a relevant field or equivalent industry experience, and with strong technical research and engineering capabilities in AI, are encouraged to apply. Applications are evaluated on demonstrated skills and qualifications, and candidates from all backgrounds are welcome.
Resume
Required to apply

Job description

Role Overview

This is a full-time remote opportunity for a Member of Technical Staff focused on frontier AI. The work centers on advancing next-generation models and systems through deep technical research and engineering contributions that expand what current AI can do.

Key Responsibilities

  • Create and refine advanced AI architectures and algorithms for next-generation systems.
  • Drive research efforts aimed at improving model efficiency, scalability, and overall performance.
  • Work closely with cross-functional partners to move AI solutions into live production environments.
  • Document research outcomes through technical reports, white papers, and conference-ready submissions.
  • Test, compare, and benchmark new AI models, frameworks, and hardware accelerators.

Required Qualifications

  • A PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related area is preferred, or comparable industry experience.
  • Strong hands-on experience with deep learning toolkits such as PyTorch or TensorFlow.
  • Solid exposure to large-scale distributed training and model optimization methods.
  • Understanding of AI hardware and accelerator platforms, including GPUs and TPUs.
  • Proven ability to work independently on research problems and deliver technical outcomes.
  • Knowledge of reinforcement learning, generative AI, or multimodal systems is an advantage.
  • Excellent troubleshooting and analytical capability for complex AI systems.
  • Strong communication skills with the ability to explain technical ideas clearly to varied audiences.

Opportunity Details

This position offers the chance to contribute to a leading organization in software development and technology, information, and internet. The role includes access to advanced computing resources and the opportunity to collaborate with experienced researchers and engineers working on state-of-the-art AI systems.

Equal Opportunity

Selection is based on skills and expertise. Applicants from all backgrounds are encouraged to apply, and review is focused on technical capability and qualifications rather than prior employment history.

Compensation

The annual payout for this role is stated as $600K to $2000K per year.

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