Machine Learning Scientist, Open-Endedness

2 weeks ago

San Francisco, CA, United States Lila Sciences Full time
Your Impact at Lila

Lila Sciences is seeking experienced, creative, and talented Machine Learning Scientist (Open-Endedness) across Scientist I/II and Senior Scientist levels to join our team. Title will be determined by merit and experience level.

Open-Endedness is an emerging area of machine learning that aims to automate never-ending innovative processes of discovery and exploration. The Open-Endedness Team, led by Ken Stanley, investigates in particular how a continual chain of deep transformative creativity can be maintained that far exceeds the derivative creativity seen in current models. In effect, the systems developed on this team will go beyond simply solving problems posed by users, to conceiving the future unimagined directions of science itself.

To realize this vision, we're seeking a broad tapestry of ML expertise to facilitate daring and unconventional investigations, including but not exclusive to 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 unconventional behaviors
  • Unconventional evaluation techniques, including subjective evaluation and the evaluation of interestingness
  • Creative approaches to investigating, understanding, and visualizing the internal representations of large models, encompassing mechanistic interpretability but also going in new directions beyond it
  • Quality diversity (QD) algorithms like MAP-Elites, novelty search with local competition, POET, OMNI, minimal criterion novelty search, etc., with LLMs or other large models potentially being updated on the inner loop.
What You'll Need to Succeed
  • PhD in quantitative disciplines ideal, but will consider self-taught researchers with exceptional achievements
  • Publications in relevant conferences, such as NeurIPS, ICML, AAAI, ICLR, GECCO, ICCC
  • Expertise in ML frameworks (PyTorch/TensorFlow/Jax); and/or QD algorithm implementation; and/or neuroevolution algorithm implementation
  • Experience in training and deploying ML models on distributed computing services (g. AWS/GCP/Azure, or clusters).

Location

San Francisco, CA (Hybrid and On-Site available depending on team needs).

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 the 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 forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai

At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.

If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, please apply.

Compensation

We expect the base salary for this role to fall between $176,000-$304,000 USD per year, along with bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.

We're All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

  • Senior / Principal Machine Learning Scientist

    48 minutes ago

    San Francisco, CA, United States Altos Labs Full time

    Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at altoslabs.com. Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse...

  • Applied Machine Learning Scientist

    2 weeks ago

    San Francisco, CA, United States Unlearn Full time

    We are advancing AI to power the future of medicine. At Unlearn, our purpose is to advance artificial intelligence (AI) to eliminate trial and error in medicine. We are innovating advanced machine learning methods to leverage generative AI in forecasting patient outcomes, starting with the domain of clinical trials. We produce AI-generated digital twins of...

  • Applied Machine Learning Scientist

    2 weeks ago

    San Francisco, CA, United States Unlearn Full time

    We are advancing AI to power the future of medicine. At Unlearn, our purpose is to advance artificial intelligence (AI) to eliminate trial and error in medicine. We are innovating advanced machine learning methods to leverage generative AI in forecasting patient outcomes, starting with the domain of clinical trials. We produce AI-generated digital twins of...

  • Senior Applied Machine Learning Scientist

    2 weeks ago

    San Francisco, CA, United States Unlearn Full time

    We are advancing AI to power the future of medicine. At Unlearn, our purpose is to advance artificial intelligence (AI) to eliminate trial and error in medicine. We are innovating advanced machine learning methods to leverage generative AI in forecasting patient outcomes, starting with the domain of clinical trials. We produce AI-generated digital twins of...

  • Principal, Machine Learning Scientist

    8 minutes ago

    San Mateo, CA, United States BigHat Biosciences Full time

    Principal, Machine Learning ScientistDepartment: DS/ML (Data Science/Machine Learning) Employment Type: Full Time Location: San Mateo, CA Reporting To: Hunter Elliot DescriptionThe role: We are seeking a creative, accomplished Principal Machine Learning Scientist to advance the state of the art in ML-driven therapeutic antibody design. At BigHat Biosciences,...

  • Machine Learning Scientist

    2 hours ago

    San Jose, CA, United States Lyten Full time

    Lyten is leading an industrial revolution through Lyten 3D Graphene™, a breakthrough supermaterial unlocking a new generation of products - from lithium-sulfur batteries and energy storage systems to concrete admixtures, lightweight composites, and next-generation sensors that are revolutionizing industries. Together, these innovations are making a massive...

  • Staff Machine Learning Scientist, Risk

    2 weeks ago

    San Francisco, CA, United States Credit Genie Full time

    Company Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower...

  • Staff Machine Learning Scientist, Risk

    2 hours ago

    San Francisco, CA, United States Credit Genie Full time

    Company Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower...

  • Staff Machine Learning Research Scientist, LLM Evals

    2 weeks ago

    San Francisco, CA, United States Scale AI Full time

    As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the...

  • AI/ML - Machine Learning Research Engineer, Machine Translation

    4 days ago

    San Francisco, CA, United States Apple Full time

    Role Number: 200616937-3401 Summary The Apple Machine Translation team is seeking exceptional researchers and scientists to contribute to the development of the next generation of core machine translation (MT) technology and large language model (LLM) technologies. Our mission is to empower our users to communicate seamlessly across language barriers and...