Lila Sciences, Inc. | Cambridge, MA Machine Learning Researchers (Generative AI) - Open Level

Flagship Pioneering; Cambridge (MA); On-site; USD 90,000 - 150,000; Full time

Job summary

An innovative company is seeking talented Machine Learning Researchers to join a mission-driven team transforming scientific research. This role involves training cutting-edge generative models on real-world lab data and collaborating with experts across various fields. If you're passionate about leveraging AI to enhance therapeutic discovery and development, this is your chance to make a significant impact in the life sciences. Join a forward-thinking team that values diversity and creativity, and help redefine the future of science with your expertise in machine learning and biology.

Benefits

Access to advanced technology

Inclusive work environment

Collaborative team culture

Opportunities for professional growth

Qualifications

• PhD required in quantitative disciplines with research contributions.
• Solid understanding of biology for AI model development.

Responsibilities

• Train and fine-tune generative models on lab data.
• Collaborate with biology and automation experts.

Skills

Generative Models

Machine Learning

Python

AI Model Development

Data Pipelines

Distributed Computing

Biology Concepts

Education

PhD in Quantitative Disciplines

Tools

PyTorch

TensorFlow

Jax

AWS

GCP

Azure

Job description

Cambridge, MA USA

Company Summary

Lila Sciences is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. Lila Sciences is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science.

Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities.

At Lila Sciences, 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.

The Role:

Lila Sciences is seeking experienced, creative, and talented Machine Learning Researchers (Generative Biology) across Scientist, Senior Scientist, and Principal Scientist levels to join our team. Title will be determined by merit and experience level.

Join our agile team to reimagine the way scientific research is conducted! You'll train and fine-tune cutting-edge models on real-world lab data. Collaborate with experts across biology and automation to push boundaries. We’re looking for an ML pro skilled in large-scale generative models, data pipelines, and software engineering excellence. Ready to transform science? Let’s talk!

Candidates should have experience and/or interest in:

• Designing and implementing generative models (e.g., LLMs, VAEs, diffusion models) tailored for biological sequences, structures, and molecular modalities.
• Integrating domain-specific constraints and priors into generative models to enhance biological plausibility and experimental viability.
• Developing rigorous testing, documentation, and model benchmarking.

Qualifications:

• PhD in quantitative disciplines with contributions to research conferences or journals (e.g. NeurIPS, ICML, AAAI, ICLR).
• Solid understanding of fundamental biology concepts and demonstrated ability to apply these to AI model development.
• Expertise in ML frameworks (PyTorch/TensorFlow/Jax) and robust experience in the Python data science ecosystem.
• Experience in training and deploying ML models on distributed computing services (e.g. AWS/GCP/Azure, or clusters).

Ideal:

• Familiarity with state-of-the-art generative models for biological sequences, e.g., proteins, RNA, and DNA.
• Experience designing biological sequences or molecular structures with demonstrated improvements in real world outcomes (e.g. stability, binding affinity, or functional specificity)

Working at Lila Sciences, you would have access to advanced technology in the areas of:

• AI experimental design and simulation
• Automated liquid handling and instrumentation

Flagship Pioneering and our ecosystem companies arecommitted 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.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.