Lila Sciences jobs

Lila Sciences is building a platform where AI and automation co-evolve to solve complex problems in medicine, specifically in protein engineering. The AI for Protein Engineering team develops models and systems to advance biologics from design to validation. This role involves designing molecules for active biologics programs, developing reasoning capabilities for drug discovery, and creating evaluation infrastructure to ensure design workflows are effective and generalizable across programs. The position requires owning the operational aspects of computational design workflows, including reproducibility, throughput, and inference cost, and translating domain scientist judgment into machine learning objectives.

$176k - $304k

Lila Sciences is developing a platform where AI and automation work together to tackle complex problems in medicine. The AI for Protein Engineering team focuses on creating and using generative and predictive models to advance biomolecule design programs from initial concepts to validated leads. This role is at the intersection of machine learning, protein engineering, and therapeutic design, requiring strong ML fundamentals, a curiosity for protein biology, and an interest in computationally designed, wet-lab-validated biologics. You will collaborate with experimental scientists, AI researchers, and platform teams to build models and workflows that support Lila’s autonomous science platform.

$176k - $304k

Lila is revolutionizing medicine by integrating automated large-scale data generation with scientific superintelligence. We are building a system where AI, automation, and experimental biology work together to tackle complex medical challenges. The Life Science AI team focuses on developing machine learning systems for analyzing biological data, combining advanced ML with cutting-edge biology. This role is crucial for building domain models that understand perturbation biology, genetics, and high-dimensional experimental data, linking biological mechanisms, experimental interventions, and therapeutic opportunities. The work involves not just learning from data but also guiding data generation and ensuring model outputs are interpretable and actionable for scientists and downstream systems.

$268k - $358k

Lila Sciences is seeking a Principal Machine Learning Engineer to join their growing Applied AI organization. This role focuses on adapting and improving AI models for customer-specific scientific needs, bridging the gap between cutting-edge model capabilities and real-world applications. You will be instrumental in shaping how Lila's AI models are fine-tuned, evaluated, and integrated into reliable workflows for customers. This is a senior individual contributor position requiring deep, hands-on expertise in model post-training, evaluation, and production ML systems.

$252k - $336k

Lila Sciences is developing a platform where AI and automation collaborate to address complex challenges in medicine, specifically within Life Sciences AI. The AI for Protein Engineering team focuses on creating and implementing generative and predictive models to advance biomolecule design programs from initial concepts to validated leads. This role is for a senior individual contributor specializing in computational biologics design, working on active protein engineering projects and enhancing Lila's capabilities in designing, evaluating, and learning from biomolecular data. The position is at the nexus of machine learning, protein engineering, and therapeutic design, requiring deep ML expertise, a strong understanding of protein biology, and a proven ability to deliver computationally designed, validated biologics.

$268k - $358k

Lila is revolutionizing biomedicine by integrating large-scale automated data generation with advanced AI. We are building a system where AI, automation, and experimental biology work together synergistically. This role focuses on connecting that work to human medicine by developing systems that evaluate the biological validity of clinical programs. You will build the infrastructure to assess mechanistic support, ground biological mechanisms in human data, and evaluate clinical trial designs against proposed mechanisms. The goal is to create scalable systems that can rigorously assess and forecast program outcomes, ensuring scientific integrity and enabling public dissemination of findings.

$268k - $384k

Lila Sciences is building an operating system for science, powered by scientific superintelligence. The Molecular Intelligence team focuses on building ML and physics-based infrastructure for drug discovery, including biophysics workflows, computational chemistry tools, and simulation workflows. This role involves embedding with scientists and collaborating with platform teams on storage, compute, and orchestration. The core of the work is building a provenance system to track scientific inputs, code versions, models, runs, and results across various workflows, enabling scientists to easily find, trace, and reuse discoveries.

$148k - $240k

Lila Sciences is building the infrastructure for autonomous science, creating AI systems that design and execute experiments across life sciences, chemistry, and materials science. The platform is designed for reliability and scale, serving external customers who require security, auditability, and operational rigor. This role focuses on enabling scientists and AI agents to query scientific knowledge, including literature, patents, customer documents, and experimental records, through advanced retrieval systems.

$224k - $336k

Lila is developing AI systems for scientific discovery, connecting advanced models with scientific tools and automated laboratories. As these systems become more capable, we need to understand how they could be misused or compromised, which protections matter most, and how to establish that those protections work together. We're hiring an experienced security practitioner to lead this work at the boundary between AI safety and security. You will investigate real systems, develop threat models, test important assumptions, and recommend the protections needed for particular capabilities and deployments. Your work will address both dangerous misuse and the protection of sensitive models, data, and research. This is an opportunity to help shape a developing area of AI safety through security practice, combining technical investigation with careful analysis and clear writing, working closely with our established Security team, researchers, and engineers to turn findings into implemented improvements. You will bring security depth and develop your understanding of model capabilities, evaluations, and safeguards through that work.

$192k - $306k

Lila Sciences is building a talent-dense, high-agency AI safety team focused on identifying and mitigating risks from scientific superintelligence while preserving scientific discovery capabilities. The team will develop and implement a bespoke safety strategy, encompassing technical strategy, ecosystem engagement, safety evaluations, risk mitigation systems, and research into long-term oversight needs. You will build shared software to help the team understand and reduce societal risks from scientific AI, translating needs from threat modeling, evaluations, red teaming, and mitigation development into reliable tools and systems. This role involves owning engineering work from scoping and prototyping through deployment and improvement, supporting research across scientific models, agents, and automated experimentation.

$192k - $288k

Lila Sciences is developing autonomous systems for scientific discovery, and this role focuses on building security into the AI infrastructure from the ground up. As a senior individual contributor on the IT & Security team, you will be responsible for security engineering across Lila's AI and ML systems, encompassing training and inference pipelines, model registries, MCP servers, and agent runtimes. Your work will involve translating the AI security roadmap into actionable controls, driving vulnerability remediation, and mitigating risks throughout the AI lifecycle, including data, models, pipelines, and agentic systems. This is a hands-on role requiring technical expertise in cloud security, supply chain security, and AI-specific threat modeling, with a strong emphasis on cross-functional collaboration with AI Platform, AI Research, ML Operations, Science, and AI Safety teams to ensure security is integrated from the design phase.

$252k - $374k

LILA is seeking a Senior Human Factors Engineer to be the human-factors voice for Robotics, focusing on the software that powers Lila's autonomous labs. You will collaborate with software engineers and researchers to make complex interfaces for simulation, research operations, orchestration, and SCADA-style monitoring clear, safe, and trustworthy. Your work will directly influence the speed and accuracy of the factory's operations. This role involves leading usability research, designing high-stakes displays, prototyping and validating interfaces, defining human-in-the-loop workflows for AI-driven processes, and championing accessibility standards.

$144k - $240k

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges by leveraging AI to accelerate scientific discovery. This role focuses on applying computational condensed matter physics and electronic structure expertise to materials discovery, optimization, and understanding. You will utilize first-principles modeling, atomistic simulations, scientific machine learning, and agentic AI systems to investigate complex materials relevant to superconductors, quantum materials, or electronic devices. The work involves a blend of physics-based simulation, AI/ML, and autonomous scientific workflows, aiming to generate actionable hypotheses and discovery workflows by reasoning over simulation and experimental data.

$176k - $304k

Lila Sciences is building Scientific Superintelligence™ to accelerate discovery across medicine, materials, and energy. We are seeking a Principal Scientist / Associate Director to own the technical direction for agentic AI systems applied to materials science. This player-coach role involves leading a small team, setting the roadmap for autonomous agents that plan, run, and interpret materials experiments, and shifting materials research from human-paced to machine-paced iteration. The work spans foundational research and applied delivery, with opportunities to publish and ship systems that materials teams depend on, shaping how Lila scales agentic capabilities.

$288k - $420k

LILA is building a platform to enable scientists to go from hypothesis to results without context-switching between numerous tools. The Application Team integrates Machine Learning, Life Sciences, and Physical Sciences into a unified AI-native experience. AI is fundamental to the architecture, with agent frameworks, tools, and LLM orchestration as core components. The role involves tackling complex problems by connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs, requiring the invention of new patterns. Engineers will collaborate closely with lab scientists and ML engineers, expanding their technical expertise and shipping impactful tools that accelerate research timelines.

$144k - $240k

Lila Sciences is seeking an Associate Director/Director, Inference Engineering to lead the team responsible for the company's model serving platform. This role involves defining how models are served at scale, balancing key performance metrics like latency, throughput, quality, and cost. The position acts as a technical authority, bridging the gap between research and production-grade serving capabilities, and encompasses people leadership, service ownership, cross-functional collaboration, and deep technical expertise in modern LLM serving.

$204k - $348k

Lila Sciences is developing the infrastructure for autonomous science, creating AI systems that can design and execute experiments in physical labs across life sciences, chemistry, and materials science. Their platform is designed for reliability and scale, catering to external customers who demand security, auditability, and operational rigor. This role focuses on building foundational enterprise systems to support large pharmaceutical and research organizations, enhancing capabilities like multi-tenancy, identity management, granular permissions, audit infrastructure, and billing. The position involves pushing the boundaries with agentic AI-powered systems for self-service tenant management, intelligent customer observability, and automated compliance workflows, alongside developing an AI-native external API.

$192k - $288k

Lila Sciences is building a talent-dense, high-agency AI safety team focused on identifying and mitigating risks from scientific superintelligence while preserving scientific discovery capabilities. The team's initial focus is to develop and implement a bespoke safety strategy tailored to Lila's specific goals and deployment strategies. This involves technical safety strategy development, broader ecosystem engagement, safety-focused evaluations, safety systems to mitigate risks, and a research agenda exploring long-term needs like overseeing superintelligent scientific systems. We are seeking a materials scientist to map risks across the materials science domain, connecting deep materials expertise with dual-use risk assessment to safeguard scientific AI.

$268k - $384k

Lila Sciences is building Scientific Superintelligence™ to accelerate discovery across medicine, materials, and energy. We are seeking a talented individual contributor to join our AI safety team, focusing on identifying and mitigating risks from scientific superintelligence. This role involves developing and implementing a bespoke safety strategy tailored to Lila's specific goals and deployment strategies. You will work with domain scientists, risk researchers, evaluators, and engineering teams to translate risk findings and policy requirements into effective interventions, spanning research and implementation. The work includes developing approaches, testing their limits, and integrating reliable safeguards into our systems.

$224k - $336k

Lila Sciences is seeking a Senior / Staff Machine Learning Engineer to join their Applied AI organization. This role focuses on adapting and improving AI models for customer-specific scientific needs, bridging the gap between advanced model capabilities and real-world applications. You will be instrumental in transforming frontier AI models into reliable, evaluable workflows for customer contexts. The Applied AI team operates at the nexus of AI research, model engineering, and product deployment, collaborating with researchers and software engineers to integrate and refine Lila's models within product workflows. This position is ideal for individuals who want to specialize in model adaptation and evaluation, take ownership of complex technical challenges, and grow their scope within the company.

$180k - $298k