Lilasciences

Lilasciences

Staff Software Engineer, Scientific System of Record

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

Sponsorship not specified$144k-$288kDetected 29 days ago
TypeScriptPythonReactBackend DevelopmentGitSQLNoSQLVector DatabasesAWSGCPAzureCloud PlatformsKubernetesTerraformCI/CDDevOpsTemporalAPI DevelopmentGraphQLRESTMachine LearningAirflowData EngineeringRecruiting

About the role

  • These systems connect scientific intent to physical reality.
  • Performance and Reliability: Diagnose and resolve system bottlenecks while ensuring high availability and low-latency performance across large-scale workloads.
  • Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

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 and build high-performance, secure, and well-documented UIs and APIs that integrate with AI-driven applications.
  • Drive implementation of front-end and backend services with a focus on performance, maintainability, and reliability.
  • It answers two questions: what did we plan to build? and what actually happened?
  • User Interfaces and APIs: Design and build high-performance, secure, and well-documented UIs and APIs that integrate with AI-driven applications.
  • Application Development: Drive implementation of front-end and backend services with a focus on performance, maintainability, and reliability.
  • Experience designing systems that support auditability, traceability, reproducibility, data provenance, or regulated workflows.
  • 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.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Strong experience with SQL, NoSQL, and emerging database technologies such as vector databases
  • Hands-on experience using AI coding assistants to improve engineering productivity.
  • Hands-on experience with AWS, GCP, or Azure
  • strong understanding of Kubernetes, containerization, infrastructure as code such as Terraform or CloudFormation, and CI/CD pipelines such as GitHub Actions.
  • Databases: Strong experience with SQL, NoSQL, and emerging database technologies such as vector databases
  • Problem Solving: Proven ability to take ownership of complex technical challenges while balancing trade-offs between scalability, performance, and maintainability.
  • Cloud and DevOps: Hands-on experience with AWS, GCP, or Azure
  • Orchestration Systems: Experience with orchestration tools such as Flyte, Temporal, Airflow, Prefect, or similar systems.

Nice to have

  • Strong experience with React and TypeScript is required
  • Python experience is strongly preferred.
  • TypeScript, React, and Python: Strong experience with React and TypeScript is required

Skills

  • Your Impact at LILA
  • This is an opportunity to apply your deep front-end and backend expertise to 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
  • $144,000 - $288,000 USD
  • USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Benefits

  • Bonus Points For
  • We offer competitive base compensation with bonus potential and generous early-stage equity.
  • 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
Apply directly at Lilasciences →Create a free account for alerts like thisView Lilasciences immigration profile

This listing is sourced directly from Lilasciences's careers page and normalized into a canonical job model.