About Lila Sciences
Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind’s greatest challenges, enabling scientists to bring solutions in human health, climate, and sustainability at unprecedented pace and scale. Learn more at .
At Lila, we are uniquely cross-functional and collaborative. We actively reimagine how teams work together and communicate. We seek individuals with an inclusive mindset and diverse perspectives. Our teams thrive in unstructured, creative environments where all voices are valued, recognizing that experience varies, skills are transferable, and passion matters.
If this environment excites you, even if you only meet some of the listed qualifications, we encourage you to apply.
Your Impact at Lila
Lila Sciences seeks experienced, creative, and talented Machine Learning Researchers (Open-Endedness) at Scientist, Senior Scientist, and Principal Scientist levels, with titles determined by merit and experience.
Open-Endedness is an emerging machine learning field focused on automating continuous discovery and exploration. Led by Ken Stanley, our team investigates how to sustain a chain of deep, transformative creativity that surpasses current models' derivative creativity. Our systems aim to go beyond solving existing problems to conceive unimagined future directions of science.
We seek a broad range of ML expertise to support daring, unconventional investigations, including pre-training, fine-tuning, RLHF, distillation, mechanistic interpretability, and quality diversity (QD) techniques.
What You’ll Be Building
- Designing, implementing, and modifying generative models (e.g., LLMs, diffusion models, multimodal models) through unconventional pipelines to achieve novel behaviors.
- Developing unconventional evaluation techniques, including subjective assessments and interestingness metrics.
- Investigating, understanding, and visualizing internal representations of large models, exploring mechanistic interpretability and new directions beyond it.
- Implementing QD algorithms like MAP-Elites, novelty search with local competition, POET, OMNI, and minimal criterion novelty search, potentially updating models in the inner loop.
What You’ll Need to Succeed
- PhD in quantitative disciplines is ideal; exceptional self-taught researchers will also be considered.
- Publications in conferences such as NeurIPS, ICML, AAAI, ICLR, GECCO, ICCC.
- Experience with ML frameworks (PyTorch, TensorFlow, Jax), QD algorithms, or neuroevolution algorithms.
- Experience training and deploying ML models on distributed platforms (AWS, GCP, Azure, or clusters).
We’re All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
A Note to Agencies
We do not accept unsolicited resumes unless contacted directly by our Talent Acquisition team. Resumes from agencies without a signed agreement will become our property, and no fees will be owed.
Company:
Lila Sciences
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
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