Lilasciences

Lilasciences

Sr Principal/ Principal Software Engineer, AI Lab Execution System

Cambridge, MA USA; San Francisco, CA USA · Principal · Full-time

Sponsorship not specified$204k-$348kDetected 29 days ago
TypeScriptPythonReactSQLNoSQLVector DatabasesAWSKubernetesDevOpsTemporalMachine LearningPyTorchPandasNumPyAirflowData ScienceIncident ResponseDesign SystemsRecruitingResearchLeadershipCommunicationCollaborationMentoring

About the role

  • These systems connect scientific intent to physical reality.
  • Technical Strategy and Architecture: Define architectural direction for the AI Lab Execution System and related Scientific System of Record capabilities, balancing long-term platform evolution with near-term product delivery.
  • Data and System Modeling: Establish durable domain models, schemas, and data contracts across SQL, NoSQL, vector databases, data lakehouses, and other scientific data systems.

Responsibilities

  • what did we plan to build? and what actually happened?
  • Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop.
  • What You'll Be Building
  • Design systems that model scientific intent, experiment planning, protocol execution, sample and asset state, operational events, and results capture across complex lab workflows.
  • Lead the design of high-performance, secure, and well-documented UIs and APIs that support scientists, automation systems, ML workflows, and AI-driven applications.
  • It answers two questions: what did we plan to build? and what actually happened?
  • Lab Execution and Scientific Workflows: Design systems that model scientific intent, experiment planning, protocol execution, sample and asset state, operational events, and results capture across complex lab workflows.
  • User Interfaces and APIs: Lead the design of high-performance, secure, and well-documented UIs and APIs that support scientists, automation systems, ML workflows, and AI-driven applications.
  • Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
  • Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • You must be strong in either front-end or backend.
  • Systems and Data Architecture: Deep experience designing scalable application architectures, APIs, domain models, schemas, indexes, data contracts, and distributed data systems.
  • Databases: Strong experience with SQL and at least one of NoSQL, vector databases, graph databases, search systems, or data lakehouse architectures.
  • Scientific or Data-Intensive Domains: Experience working in life sciences, materials science, ML platforms, laboratory systems, automation platforms, or other research-heavy and data-intensive environments.
  • Operational Excellence: Experience designing production systems with strong observability, reliability, incident response, performance tuning, and long-term maintainability.
  • Communication and Collaboration: Strong listening skills and the ability to explain complex technical ideas to scientists, engineers, product leaders, and executives.
  • Hands-on experience using AI coding assistants or AI-augmented engineering workflows to improve productivity.
  • Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).
  • Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).

Nice to have

  • Python experience is strongly preferred.

Skills

  • Your Impact at LILA
  • This is an opportunity to set technical direction for a cutting-edge AI platform with real scientific impact.

Compensation

  • We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
  • International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions
  • Expected Base Salary Range
  • $204,000 - $348,000 USD
  • USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Benefits

  • U.S. Benefits.
  • Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage
  • employer-paid life and disability insurance
  • flexible time off with generous company wide holidays
  • paid parental leave
  • an educational assistance program
  • commuter benefits, including bike share memberships for office based employees
  • International Benefits.
  • Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region.

Company info

  • The Scientific System of Record Team (SSR) builds the memory layer for Lila's operations.

Visa & Work Authorization

  • al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
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This listing is sourced directly from Lilasciences's careers page and normalized into a canonical job model.