AI Research Engineer
7 days ago
We are a London-based start-up dedicated to developing safe and beneficial AI systems that will have a profound impact on the future of humanity.
Our mission is to engineer AI systems that align with human values and preferences, and we are seeking a highly skilled Research Engineer to join our team.
Job SummaryWe are looking for a talented Research Engineer to develop language models as evaluators and contribute to the construction of safety guardrails for Large Language Models (LLMs). As part of this role, you will:
- Develop and train LLMs to become strong evaluators aligned with human preferences using prompting, supervised fine-tuning, and adversarial training.
- Design and implement comprehensive evaluation and red teaming frameworks, including custom internal tooling, datasets, and metrics for rigorous assessment of alignment and safety risks.
- Collaborate with our team to define and steer Atla AI's evolving AI safety research direction and contribute significant findings to top-tier conferences in the field.
- Work closely with our founders, advisors, and top-tier researchers to navigate the complexities of AI alignment and ensure the development of safe and beneficial AI systems.
- Build and grow our applied research organization, setting a high bar of excellence that propels Atla AI forward.
As a Research Engineer at Atla AI, you will be responsible for:
- Developing and training LLMs to evaluate AI systems and ensure they align with human values and preferences.
- Designing and implementing evaluation and red teaming frameworks to assess alignment and safety risks.
- Collaborating with our team to define and steer our AI safety research direction.
- Working closely with our founders, advisors, and top-tier researchers to navigate the complexities of AI alignment.
- Building and growing our applied research organization.
To be successful in this role, you will need:
- Exceptional ML engineering ability, with proficiency in training and evaluating language models across GPUs, preferably in PyTorch.
- A proven track record in empirical research, including designing and executing experiments, and effectively writing up and communicating findings.
- 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 are looking for candidates with:
- Publications in top AI conferences.
- Interest in and thoughtfulness about the impacts of AI technology.
We offer:
- Competitive salary.
- Significant stake in equity as one of the first joiners.
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