Join Mirendil as a staff engineer to work on cutting-edge AI pretraining, optimizing models and infrastructure.
Posted by employer 2 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 7 hours ago
Skills & Technologies
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the engineer engages in a hands-on approach to enhance the pretraining stack, focusing on data processing, model architecture, and distributed training infrastructure. Key skills include expertise in large-scale model training, optimization techniques, and data pipeline design, particularly in a GPU-intensive environment. This position is ideal for experienced professionals with a strong background in both research and systems engineering, eager to contribute to cutting-edge AI advancements. Mirendil is committed to pushing the boundaries of AI research, making this a dynamic opportunity for those passionate about innovation.
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, Kernels, Member of Technical Staff, Post-Training, RL Environments.
- 5189 active AI/ML roles on Joblaze right now.
- 98 active Data Pipelines roles on Joblaze right now.
- 26 active data processing roles on Joblaze right now.
- Salary band is above the typical range for AI/ML roles (median ~$188,000).
- Pays more than 89% of the 2253 salaried AI/ML roles we track (median $180,000). See AI/ML 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/ML, Data Pipelines, data processing, distributed training, model architecture, optimizer research.
- 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, Pretraining 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 work at the intersection of research and systems on our pretraining stack. You'll contribute across the full pipeline, from data processing and model architecture to distributed training infrastructure and low-level optimization, and help determine how we scale our next generation of models. Some example areas you might work on (not limited to):
Implement and iterate on model architectures, training algorithms, and optimizer research in large-scale pretraining runs
Scale distributed training jobs across thousands of GPUs
Optimize training throughput for novel attention mechanisms, architecture variants, and compute efficiency improvements
Design and build large-scale data pipelines for efficient model consumption and dataset curation
Run and analyze scientific experiments to advance understanding of how architecture and data choices affect model capabilities
If you're excited about working across research and engineering to push the frontier of what large models can do, 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.