Research Scientist, AI Safety
24 hours ago
We're a London-based start-up dedicated to developing safe and beneficial AI systems that will have a profound impact on humanity's future. Our mission is to create the most capable AI evaluation models, and we're seeking talented individuals to join our growing team.
RoleAs an alignment research engineer at Atla, you'll play a crucial role in developing language models as evaluators and using your expertise to construct safety guardrails for LLMs. Your responsibilities will include:
- Designing and implementing effective prompting, supervised fine-tuning, and adversarial training techniques to steer LLMs towards alignment with human preferences.
- Developing comprehensive evaluation and red teaming frameworks, including custom internal tooling, datasets, and metrics for rigorous assessment of alignment and safety risks.
- Collaborating with our founders, advisors, and top-tier researchers to define and steer Atla's evolving AI safety research direction, contributing significant findings to top-tier conferences in the field.
- Working closely with our team to navigate the complexities of AI alignment and build a high-performing applied research organization.
We're looking for exceptional ML engineers with a proven track record in empirical research, including designing and executing experiments, and effectively writing up and communicating findings. Key qualifications include:
- Proficiency in training and evaluating language models across GPUs, preferably in PyTorch.
- Strong software engineering experience with software design/architecture skills, preferably in Python.
- Aptitude for distilling and applying ideas from complex research papers in our products.
- Experience at elite AI research labs (OpenAI, DeepMind, Meta, Anthropic, etc.).
We offer a competitive salary, significant equity as one of the first joiners, and the opportunity to make a dent in the universe by engineering safe, beneficial AI systems.
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