Join Mirendil as a staff engineer to design and optimize custom ML kernels for frontier AI research.
Posted by employer 2 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 18 hours ago
Skills & Technologies
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the engineer focuses on designing and optimizing custom machine learning kernels to enhance model development at Mirendil. Key skills include a strong understanding of both hardware and software systems, particularly in optimizing compute-intensive tasks and low-precision arithmetic. This position is ideal for experienced professionals with a background in machine learning and systems engineering, eager to contribute to cutting-edge AI research. Mirendil's commitment to advancing frontier AI R&D makes this an exciting opportunity for those passionate about technology's potential.
Joblaze insights
- Listed 10 days ago on Joblaze — tracked directly from Mirendil's career page.
- Mirendil has 13 other open roles including Executive Assistant & Operations , Member of Technical Staff, Recursive Self-Improvement (RSI), Member of Technical Staff, Post-Training, RL Environments.
- 1705 active AI roles on Joblaze right now.
- 804 active Machine Learning roles on Joblaze right now.
- Salary band is above the typical range for AI/ML roles (median ~$188,000).
- Pays more than 97% of the 705 salaried AI roles we track (median $159,520). See AI salary trends
Quick facts
- What's the salary range?
- Mirendil lists $300,000–$400,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, Machine Learning.
- What seniority level is this role?
- Mirendil targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff, Kernels role at Mirendil.
From the original posting
Mirendil
Mirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. Our first goal is to democratize frontier AI R&D across scientific disciplines. We are building a frontier AI research company and training our own models end-to-end.
The Role
We are looking for an engineer to design, implement, and optimize custom ML kernels that bolster our model development stack. Your work will be deep in the system, combining hardware and software insights to optimize performance. Some example areas you might work on (not limited to):
Design and implement custom performant ML kernels that work at scale
Identify inefficiencies and optimize compute-intensive workloads to reduce memory bandwidth bottlenecks and improve hardware utilization
Enable and validate low-precision arithmetic formats and contribute to related compiler or runtime stacks
If you're excited about working at the intersection of hardware and frontier AI research, we'd love to hear from you.
We offer a base salary of $300,000–$400,000 USD and a meaningful equity grant, depending on experience and background, along with competitive benefits.