LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)
Posted 1 day ago
You'll complete your application on Mercor's career site.
About the Role
We are recruiting seasoned machine learning researchers to address sophisticated, ambiguous problems within computer vision and language modeling. This position focuses on the complete lifecycle of training and optimizing deep learning architectures, demanding substantial technical expertise and hands-on research ability. You will investigate experimental techniques to expand the potential of existing models, prioritizing meaningful outcomes. Your tasks will include managing the hurdles of developing high-efficiency models under specific limitations. You will work on sophisticated areas including generative modeling, model deployment efficiency, and adversarial stability, ensuring your findings have real-world utility. This role allows you to work alongside top-tier professionals in a fast-paced setting focused on AI innovation.
Requirements
- Minimum of three years of professional experience in machine learning research, with doctoral studies counted toward this duration.
- Proficiency in machine learning tools like JAX, TensorFlow, or PyTorch.
- Strong academic credentials from reputable institutions, prior employment at top-tier AI firms, or a history of high-impact research publications and open-source contributions.
- Expertise in at least one key domain, such as multilingual pre-training, LLM post-training, generative image models, efficient computer vision, or adversarial robustness.
Responsibilities
- Train image classification and generative systems from the ground up.
- Fine-tune open-weight language models to meet defined performance targets.
- Enhance model performance while operating under restricted compute and data availability.
- Strengthen model resilience against adversarial conversation and input threats.
- Shrink models to satisfy strict latency and physical size requirements.
- Identify and troubleshoot intricate training difficulties during development.
- Adjust and improve model responses to ensure they align with objective standards.
Benefits & Perks
- Participate in innovative machine learning investigations alongside premier AI experts on high-value initiatives.
- Benefit from a competitive salary package and the flexibility of project-based work.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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