Join Mirendil as a Research Engineer to accelerate AI self-improvement through innovative ML systems.
Posted by employer 3 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 13 hours ago
Skills & Technologies
AI in the day-to-day
You will ship AI-driven systems that recursively improve how AI systems are trained, evaluated, deployed, and operated at scale.
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the Research Engineer focuses on enhancing AI self-improvement through the development of autonomous systems that optimize the machine learning lifecycle. Key skills include a strong grasp of machine learning principles and experience with system-level applications, as the position demands building and refining models, pipelines, and evaluation frameworks. This opportunity is ideal for experienced professionals with a background in AI research and a passion for accelerating technological advancements. Mirendil is positioned at the forefront of AI R&D, aiming to democratize access across scientific fields.
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.
- 5186 active AI/ML roles on Joblaze right now.
- 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 89% of the 2252 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, AI/ML, 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, Recursive Self-Improvement (RSI) 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 innovative, rigorous Research Engineer to join our team to accelerate AI self-improvement. This role requires a deep understanding of ML at both the application and system levels. You will ship AI-driven systems that recursively improve how AI systems are trained, evaluated, deployed, and operated at scale. If you are driven by the compounding potential of accelerating the AI loop, you will thrive in this role. Areas you might work on include:
Build autonomous AI that improves AI. Develop models, harnesses, and pipelines that automate parts of the ML lifecycle - data curation, training optimization, debugging, model selection, and experiment execution - and measure their impact on the speed and reliability of AI R&D.
Close loops across the stack. Identify the highest-leverage improvement opportunities anywhere in the stack, from distributed pre-training, post-training, and serving to agent harnesses, runtimes, and research environments, and jointly design and optimize across layers.
Run experiments end-to-end. Form hypotheses, design experiments, build the infrastructure to run them at scale, and turn results into shipped improvements.
Develop evaluation and observability. Build benchmarks, automated evals, and monitoring systems that surface regressions, failure modes, and emergent behaviors in AI systems.
If you're excited about closing the loop at scale, 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.