Lila Sciences - Senior Software Engineer, Scientific System of Record

Cambridge, MA USA; San Francisco, CA USA$144k - $240k+ Equity1w ago

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • Bachelor’s or Master’s degree • 4-6+ years of engineering experience building and deploying large-scale systems in production. You must be strong in either front-end or backend. • Strong expertise in at least one of the following areas, with the ability to work across the stack: front-end engineering, backend engineering, or data modeling and system design. • TypeScript, React, and Python: Strong experience building modern applications with React and TypeScript; Python experience is strongly preferred. • TypeScript, React, and Python: • Application and API Development: Experience designing, building, and maintaining APIs, services, and application components with a focus on reliability, performance, and maintainability. • Application and API Development: • Databases and Data Modeling: Experience with SQL and at least one of NoSQL, vector databases, search systems, or data lakehouse architectures; familiarity with schema design, indexing, and query optimization. • Databases and Data Modeling: • Production Systems: Experience operating production software, including debugging, monitoring, performance tuning, and improving reliability over time. • Production Systems: • Collaboration: Strong communication skills and a track record of working cross-functionally with engineers, product teams, scientists, or other domain experts. • Collaboration: • Problem Solving: Ability to take ownership of ambiguous technical problems, make practical trade-offs, and deliver maintainable solutions. • Problem Solving: • Hands-on experience using AI coding assistants or AI-augmented engineering workflows to improve productivity. • Cloud and DevOps: 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. • Cloud and DevOps: • Orchestration Systems: Experience with orchestration tools such as Flyte, Temporal, Airflow, Prefect, or similar systems. • Orchestration Systems: • Experience building laboratory, scientific workflow, LIMS, ELN, data platform, or ML platform products. • Experience designing systems that support auditability, traceability, reproducibility, data provenance, or regulated workflows.

Benefits

• We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact. • 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; and a company subsidized lunch program. • 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; international salaries are set to local market. • $144,000 - $240,000 USD • 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 combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. • Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. • 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. • Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy. • A Note to Agencies • 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.