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Lila Sciences

60 Lila Sciences Full Stack Software Engineer Jobs Hiring Near You

Lila Sciences

Co-op, Protein Sciences

Cambridge, MA · On-site

Familiarity with Python programming for data analysis and automation is a plus About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We ...

Lila Sciences

Head of Software Product

Cambridge, MA · On-site

$400K - $500K/yr

Capable of communicating technical and scientific concepts to any audience, from engineers to ... LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an ...

Lila Sciences

Senior Software Engineer, Data

Cambridge, MA · On-site

$133.90K - $176.50K/yr

Your Impact at LILA Join us in shaping the future of science! We are seeking Senior Software ... Full Stack Development : Experience developing web apps across the full stack (React, TypeScript ...

Lila Sciences

Senior Software Engineer, App

Cambridge, MA · On-site

$133.90K - $176.50K/yr

Your Impact at LILA Scientists shouldn't have to context-switch between a dozen tools to go from ... Full Stack Development : Experience developing web apps across the full stack (React, TypeScript ...

Lila Sciences

Scientist I / II, Robotics

Cambridge, MA · On-site

$176K - $304K/yr

Collaborate with AI, mechanical, and software engineering teams to translate theoretical robotics ... Expected Base Salary Range $176,000-$304,000 USD About LILA Lila Sciences is building Scientific ...

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Lila Sciences Jobs Information

What are the key skills and qualifications needed to thrive as a Full Stack Software Engineer, and why are they important?

To thrive as a Full Stack Software Engineer, you need strong proficiency in both front-end (e.g., HTML, CSS, JavaScript) and back-end (e.g., Node.js, Python, Java) development, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks (like React or Angular), version control (such as Git), databases (SQL/NoSQL), and cloud platforms is essential, and certifications like AWS Certified Developer can be beneficial. Problem-solving ability, collaboration, and adaptability are vital soft skills that help engineers navigate complex projects and work effectively in teams. These skills ensure the ability to deliver robust, scalable, and user-friendly applications that meet dynamic business needs.

How do Full Stack Software Engineers typically collaborate with other team members during a development project?

Full Stack Software Engineers often work closely with front-end and back-end developers, UI/UX designers, product managers, and QA testers throughout the software development lifecycle. Collaboration typically involves participating in agile ceremonies such as daily stand-ups, sprint planning, and code reviews to ensure alignment and progress. They are expected to communicate effectively across disciplines, help troubleshoot issues that span both client and server sides, and contribute to shared documentation. This collaborative environment helps ensure that solutions are cohesive, scalable, and meet user requirements.

What are Full Stack Software Engineers?

Full Stack Software Engineers are professionals skilled in both front-end and back-end development. They are capable of designing, building, and maintaining the user interface (client-side) as well as the server logic, databases, and application architecture (server-side). This means they can work on projects from start to finish, handling everything from user experience to data management. Full Stack Software Engineers often use a variety of programming languages and frameworks, making them versatile and valuable members of a development team.

What is the difference between Full Stack Software Engineer vs Front End Developer?

AspectFull Stack Software EngineerFront End Developer
Required SkillsProficiency in both front-end and back-end technologies, including HTML, CSS, JavaScript, server-side languages, and databases.Specializes in client-side technologies like HTML, CSS, JavaScript, and frameworks such as React or Angular.
Work EnvironmentWorks on both server and client-side development, often involved in full project lifecycle.Focuses primarily on designing and implementing user interfaces and user experience.
Common UsageUsed in full-stack development teams, startups, and projects requiring versatile developers.Found in teams emphasizing UI/UX, web design, and front-end frameworks.

While both roles require strong JavaScript skills, Full Stack Software Engineers handle both front-end and back-end development, whereas Front End Developers focus solely on the user interface and experience. The choice depends on whether you prefer a broader development scope or specialization in UI design.

What other companies are hiring for Full Stack Software Engineer jobs?
What are the most popular jobs at Lila Sciences?
What are the most popular categories at Lila Sciences?
Infographic showing various Full Stack Software Engineer job openings at Lila Sciences in the United States as of May 2026, with employment types broken down into 1% Internship, and 99% Full Time. Highlights an 99% Physical, and 1% Remote job distribution.

Staff ML Engineer, Life Sciences AI

Lila Sciences

San Francisco, CA • On-site

$162.80K - $200.20K/yr

Full-time

Medical, Dental, Vision, Life

Posted 21 days ago

Job description

Your Impact at LILA
Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), software engineers build the systems that connect generative models, scientific data, and experimental workflows into reliable, production-grade pipelines powering Lila's protein design and engineering campaigns.
We're hiring a Staff ML Engineer, Life Sciences AI to lead software infrastructure development for our protein design and engineering pipelines. This is a senior IC role focused on the engineering systems that surround and support our ML stack - pipeline orchestration, data flow between computational and experimental systems, integration of new tools and methods, and the developer experience that lets LSAI move fast on commercial partnership deliverables.
What You'll Be Building
  • Architect and build software infrastructure powering Lila's protein design and engineering pipelines: orchestration, data flow, APIs, and integration with experimental systems.
  • Own the engineering side of LSAI's "Lab-in-the-Loop" lifecycle - connecting computational outputs to experimental inputs and feeding results back into design workflows.
  • Onboard new tools and methods developed by AI scientists and ML engineers into production-ready systems used in commercial partnership campaigns.
  • Partner cross-functionally with ML researchers, scientists, and platform engineers to translate research code into reliable, scalable systems.
  • Set engineering standards for LSAI software - design reviews, CI/CD, testing, observability, reproducibility - and mentor senior engineers as the team grows.
  • Diagnose and resolve reliability, performance, and scaling bottlenecks in production pipelines supporting partnership deliverables.

What You'll Need to Succeed
  • Master's degree or higher in Computer Science, Machine Learning, or a related quantitative field (or Bachelor's with equivalent professional experience).
  • 8+ years of professional software engineering experience in Python (or comparable systems languages).
  • Proven experience designing, building, and operating scalable production systems - APIs, data pipelines, orchestration, and cloud infrastructure.
  • Strong software engineering fundamentals: system design, production-grade code, CI/CD, observability, and reliability practices.
  • Experience building or operating scientific or ML-adjacent infrastructure - workflow orchestration, experiment tracking, and reproducible pipelines.
  • Hands-on experience with containerization, orchestration platforms, and infrastructure-as-code on a major cloud provider.
  • Track record of leading technical direction across multiple systems and partnering deeply with research scientists or ML engineers to translate scientific needs into production engineering.

Bonus Points For
  • Experience building infrastructure for protein design and engineering, antibody engineering, or other molecular ML applications.
  • Familiarity with biological data formats and bioinformatics tooling.
  • Experience integrating ML training/inference systems with broader product or scientific platforms.
  • Open-source contributions to scientific computing or data infrastructure projects.

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.
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.
Expected Base Salary Range
$162,800-$200,200 USD
About LILA
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
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.

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