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Lila Sciences

60 Lila Sciences Software Jobs Hiring Near You

Lila Sciences

Senior Automated Systems Engineer

Cambridge, MA · On-site

$118.80K - $182.40K/yr

Your Impact at LILA Lila Sciences is seeking a highly skilled, hands-on Automated Systems Engineer ... Act as a connective tissue between science, hardware, controls, and software-ensuring interfaces ...

Lila Sciences

Senior Software Engineer, App

San Francisco, CA · On-site

$144.30K - $190.30K/yr

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. They are seeking a Senior Software Engineer to design and build high-performance applications that ...

Lila Sciences

Senior Software Engineer, Data

San Francisco, CA · On-site

$144.30K - $190.30K/yr

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. They are seeking a Senior Software Engineer with backend experience to join their Data Platform ...

Lila Sciences

Senior Software Engineer, Data

Cambridge, MA · On-site

$144K - $288K/yr

Your Impact at LILA Join us in shaping the future of science! We are seeking Senior Software Engineers with backend experience to join our Data Platform Team (Data), where you'll collaborate with ...

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Lila Sciences Jobs Information

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

To thrive as a Software Engineer, you need strong programming skills, problem-solving abilities, and typically a degree in computer science or a related field. Familiarity with coding languages (like Python, Java, or C++), version control systems (such as Git), and experience with software development frameworks are commonly required. Attention to detail, effective communication, and teamwork are crucial soft skills for collaborating on projects and delivering robust solutions. These skills ensure the development of high-quality, reliable software that meets user needs and business objectives.

What are some common challenges software professionals face when working on large-scale projects?

Software professionals working on large-scale projects often encounter challenges such as coordinating with cross-functional teams, managing complex codebases, and ensuring consistent communication across distributed teams. Balancing the need for rapid development with maintaining code quality and meeting strict deadlines can also be demanding. Adapting to evolving requirements and integrating new technologies while minimizing disruptions are common aspects of the role, making strong organizational and collaboration skills essential.

What are software developers?

Software developers are professionals who design, create, test, and maintain software applications or systems. They use programming languages and development tools to build software that meets user needs or solves specific problems. Their responsibilities can include writing code, debugging, collaborating with other team members, and updating existing programs. Software developers work in a variety of industries, including technology, finance, healthcare, and more.

What jobs are there in software?

Jobs in software include roles such as software developer, software engineer, quality assurance tester, systems analyst, and technical support specialist. These positions often require knowledge of programming languages, software development tools, and problem-solving skills, with some roles requiring certifications or specific technical expertise.

What jobs in the US pay 300,000 a year?

Software engineering roles, especially senior positions such as principal engineers, software architects, and engineering managers, can earn $300,000 or more annually in the US. High compensation often requires extensive experience, specialized skills, and working at large tech companies or in high-demand industries, sometimes including stock options or bonuses.

What is the difference between Software vs Web Developer?

AspectSoftwareWeb Developer
Required CredentialsTypically a degree in Computer Science or related field; certifications like Microsoft Certified or Oracle CertifiedSimilar credentials; often a degree in CS or Web Development certifications
Work EnvironmentDevelops software applications for various platforms, including desktop and mobileBuilds websites and web applications primarily for online use
Employer & Industry UsageUsed across tech companies, software firms, and enterprisesCommon in digital agencies, tech startups, and online businesses
Common Search & Comparison IntentPeople compare to understand different roles in software creationOften compared to see distinctions in web-focused development

While both Software developers and Web Developers work in the tech industry and require similar skills and certifications, Software developers create applications for various platforms, whereas Web Developers focus on building websites and web-based applications. The choice depends on whether you're interested in broad software solutions or web-specific projects.

What are the most popular job types at Lila Sciences?
    What are the most popular jobs at Lila Sciences?
    What are the most popular categories at Lila Sciences?
    Infographic showing various Software 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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