Lila is a technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method.

Industry: Research Services
Company Size: 51-200 employees

Lila Sciences

Savvy Admin PROD

**Your Impact at LILA**

Lila Sciences is building autonomous science platforms that compress the cycle time of scientific discovery. The Robotics and Scheduling teams develop the scheduling and coordination infrastructure that drives our AI Science Factory, commanding instruments, managing robotic fleets, and maximizing throughput across complex, multi-step lab workflows.

We are looking for a Software Engineer to build and maintain a discrete event simulation platform that serves as a fast, lightweight complement to our high-fidelity robotics simulations. Your work will be the primary testbed for iterating on scheduling strategies, fleet coordination algorithms, and capacity planning, exercising the same core decision-making code that runs in production at a fraction of the cost and time. You will work closely with the Robotics and Scheduling teams to ensure the simulation remains a trustworthy, reproducible tool for driving real engineering decisions.

**What You'll Be Building**

- Design and maintain a low-fidelity discrete event simulation platform modeling lab workflows, instrument states, and robotic transport.

- Architect the platform so production scheduling and fleet coordination code runs with minimal changes.

- Build experiment tracking and reproducibility infrastructure so every run is logged, versioned, and comparable.

- Develop tooling for parameter sweeps, scheduler benchmarks, and capacity planning across lab configurations and workloads.

- Partner with Scheduling and Robotics teams to validate new scheduling and coordination strategies.

- Ship clean, well-documented simulation APIs other engineers can build on.

**What You'll Need To Succeed**

- 1-3 years of hands-on experience in simulation engineering, operations research, or a closely related field.

- Strong software engineering fundamentals: testing, CI/CD, API design, and the ability to balance velocity with maintainability.

- Strong understanding of experiment reproducibility: seeding, versioning, logging, and structured comparison of simulation runs.

- Solid grasp of system modeling concepts: queuing, resource contention, event scheduling, and stochastic behavior.

- Strong communication skills and comfort working across teams with different technical backgrounds.

**Bonus Points For**

- Practical experience with discrete event simulation (e.g. SimPy).

- Experience designing and maintaining internal developer tools or platforms.

- Experience in robotics, warehousing, or logistics environments where physical transport is a first-class part of the system model.

- Familiarity with scheduling algorithms or heuristics (greedy dispatching, priority rules, constraint-based approaches).

- Experience with experiment tracking platforms (MLflow, Weights & Biases, or similar).

- Comfort reasoning about the tradeoffs between simulation fidelity, speed, and coverage of production code paths.

CompensationWe 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: $120,000 USD - $192,000 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. ~~

Engineer II /Senior Software Engineer, Simulation

**Your Impact at LILA**

Scientists shouldn't have to context-switch between a dozen tools to go from hypothesis to result. We're building the platform that makes this a reality — and we need engineers who want to solve problems no one has solved before.

We're hiring Sr Principal / Principal Software Engineers to design the agents, interfaces, and platform integrations that let researchers seamlessly collaborate with AI.

**About The Team**

The Application Team sits at the center of LILA — the integration point where Machine Learning, Life Sciences, Physical Sciences, and Software become one AI-native experience that carries a scientist from hypothesis to experiment to breakthrough results.

- AI isn't a feature here — it's the architecture. Agent frameworks, tools, and LLM orchestration are core primitives, not bolt-ons.

- The problems are genuinely hard. Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means inventing patterns, not copying them.

- You'll learn domains you never expected. Working shoulder-to-shoulder with lab scientists and ML engineers means your technical surface area grows fast.

- You'll ship things that matter. The tools you build accelerate research timelines from months to days.

If you want to build at the intersection of AI and science, move fast without breaking trust, and grow into the kind of engineer who can architect systems that don't exist yet — we want to talk.

**What You'll Be Building**

- Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.

- Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.

- Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.

- Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.

- Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.

- Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

**What You'll Need To Succeed**

- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

- 5-8+ years of engineering experience building and deploying large-scale systems in production. You must be strong in backend.

- Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)

- Hands on experience using AI coding assistants to drive productivity is required.

- Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.

- Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.

**Bonus Points For**

- Applied AI Engineering: Experience building with AI agents, graph-based workflows, tool-use protocols (MCP), RAG pipelines, or LLM orchestration frameworks.

- Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).

- Experience with ORMs: Experience with and web services for CRUD services (SQLModel, FastAPI, Django).

- 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).

- Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.

- Experience with laboratory devices, robotics, or hardware drivers.

CompensationWe 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: $144,000 USD - $240,000 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. ~~

Senior Software Engineer, App

**Your Impact at LILA**

As a Scientist II/Senior Scientist on the PS Experiment team at Lila Sciences, you will drive the development and implementation of advanced characterization workflows for magnetic and superconducting materials. You will be a core contributor to Lila's autonomous science platform, designing and executing high-throughput experiments that yield critical structural, magnetic, and transport data to guide materials discovery. Working at the intersection of experimental science, robotics, and AI, you will collaborate with experimentalists, systems engineers, and machine learning scientists to build scalable characterization workflows that accelerate the path to scientific superintelligence in superconductivity and magnetism.

**What You'll Be Building**

- Design, execute, and optimize characterization workflows for magnetic and superconducting materials using techniques such as magnetometry (VSM/SQUID), transport measurements, and AC susceptibility.

- Analyze and interpret complex datasets to extract materials properties including critical temperatures, field-dependent behavior, and magnetic ordering.

- Collaborate with experimentalists, systems engineers, and ML scientists to integrate characterization outputs into closed-loop autonomous experimental workflows.

- Develop and maintain protocols for sample preparation, instrument calibration, and quality control across diverse material types and form factors.

- Troubleshoot characterization workflows and instrumentation to sustain high-throughput operational performance.

- Maintain accurate laboratory records and ensure compliance with safety and regulatory standards.

**What You'll Need To Succeed**

- PhD in Materials Science, Physics, Chemistry, or a related field, with 1–5 years of postdoctoral or industry experience.

- Demonstrated expertise in characterization of magnetic or superconducting materials, including proficiency with one or more of: VSM, SQUID magnetometry, PPMS, or equivalent platforms.

- Strong understanding of the physics of magnetism, superconductivity, or related condensed matter phenomena.

- Experienced in making measurements both on materials and protoype devices

- Proficient in quantitative data analysis and interpretation of structure-property relationships in solid-state materials.

- Effective written and verbal communication skills with a track record of cross-functional collaboration.

**Bonus Points For**

- Familiarity with complementary characterization techniques such as XRD, TEM, SEM, or spectroscopy.

- Proficiency in Python or similar tools for data analysis and workflow automation.

- Experience in custom instrumentation

- Wide breadth of exporuse to different types of functional materials and applications

- Exposure to automated, high-throughput, or autonomous laboratory environments.

- Background in multiple material classes (e.g., oxides, intermetallics, thin films, or 2D materials).

- Comfort working in fast-paced, interdisciplinary research settings.

CompensationWe 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: $128,000 USD - $198,000 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. ~~

Scientist II/Senior Characterization Scientist,  Condensed Matter

**Your Impact at LILA**

As a Senior Research Associate / Scientist on the Platform Science team within Lila's Autonomous Science Platform, your work will directly contribute to building Lila's next-generation, AI-driven research capabilities. You will have the opportunity to pioneer novel automated instruments centered around advanced processing and characterization of solid state materials — at the critical intersection of hardware, software, and scientific inquiry.

This role is a unique blend of hands-on engineering and scientific investigation, where you will prototype, automate, and validate the platforms that will define the lab of the future. You will operate across a broad set of disciplines, working closely with the vacuum synthesis, platform science, and characterization teams to build tools that dramatically accelerate the pace of scientific discovery and support active research campaigns across multiple initiatives.

**What You'll Be Building**

- Design, construct, and integrate novel automated experimental platforms with a material emphasis on solid state synthesis and novel processing methods, working in close collaboration with the vacuum synthesis, platform, and characterization teams to align on system requirements and share technical knowledge.

- Work hands-on to integrate hardware components, including optics, robotics, and sensors, into a cohesive, automated workflow.

- Develop end-to-end software stacks from instrument control to data stewardship and integration with downstream models.

- Analyze instrument data to validate system performance, troubleshoot issues, and support research initiatives designed to establish and expand the capabilities of new platforms.

- Collect, document, and interpret experimental data across active research campaigns, ensuring data quality and traceability in support of platform and scientific objectives.

**What You'll Need To Succeed**

- Masters or Bachelors in Physics, Engineering, Chemistry, Materials Science, or a related field, or Bachelors with equivalent industry experience.

- Hands-on experience building automated instrumentation, including both hardware integration and software control.

- Proficiency in a programming language used for instrument control and data analysis (Python, C#).

- Strong foundational knowledge in engineering principles, including optics, electronics, and/or mechanical design.

**Bonus Points For**

- Experience with the operation and safety protocols of Class 4 laser systems.

- Familiarity with vacuum-based synthesis techniques such as physical vapor deposition, sputtering, or pulsed laser deposition.

- Experience with solid state materials characterization methods (e.g., XRD, SEM, optical microscopy).

- An inventive, problem-solving mindset with a passion for building new things and tackling open-ended challenges.

- A safety-focused approach with strong communication and teamwork skills across multidisciplinary environments.

CompensationWe 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: $80,000 USD - $118,000 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. ~~

Senior Research Associate/Associate Scientist, Platform Scientist

**Your Impact at LILA**

Join us in shaping the future of science! We are seeking **Senior Software Engineers with backend experience ** to join our Lab Software Team (LaS), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!

**About The Team**

The Lab as Software Team (LaS) acts as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab.

**What You'll Be Building**

- Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.

- Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.

- Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.

- Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.

- Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.

- Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

**What You'll Need To Succeed**

- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

- 5-8+ years of engineering experience building and deploying large-scale systems in production. You must be strong in backend.

- Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)

- Hands on experience using AI coding assistants to drive productivity is required.

- Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.

- Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.

**Bonus Points For**

- Domain Background: Exposure to laboratory software for life sciences, material sciences, or related fields.

- Lab Automation Experience: Experience with laboratory devices, robotics, or hardware drivers.

- Orchestration Systems: Experience with software orchestration platforms (Airflow, Prefect, Temporal, Dagster) and design patterns

- Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).

CompensationWe 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: $144,000 USD - $210,000 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. ~~

Senior Software Engineer, Lab Software

**Your Impact at Lila**

The **Director, Strategic Events ** will build and lead Lila’s global external events function. You will own a portfolio of high‑impact programs—flagship Lila events, executive summits, investor and partner gatherings, policy convenings, and key third‑party conferences—that drive **pipeline, relationships, talent, and brand **.

This is not a logistics planner role. You own the **“why” and “how” ** of events: which audiences we prioritize, what we say, and how each moment advances Lila’s goals with:

- Investors – understanding our platform, business model, and roadmap

- Commercial partners & customers – seeing AISF capabilities and use cases, ssi milestones and team capabilities

- Policymakers – building trust in SSI, safety, and responsible deployment

- AI & science talent – experiencing our mission, culture, and technical ambition

**What You'll Be Building**

- Develop a 12–18 month strategic events roadmap aligned with company priorities and GTM motions (e.g., SLAS, JPM, NVIDIA GTC, Lila‑hosted summits, hackathons).

- Define clear objectives and KPIs for each event (pipeline and revenue influence, investor and partner meetings, policy relationships, talent leads, brand reach).

- Own strategy and execution for flagship and executive‑level events, including programming, formats, and audience journeys tailored for investors, partners/customers, policymakers, and technical talent.

- Lead cross‑functional planning with MarCom, Commercial, BizOps, Federal/Policy, Talent, and Science/AI/Robotics teams to ensure events are fully integrated with product, PR, content, and recruiting.

- Manage budgets, agencies, and vendors, including sponsorships and production partners, with clear forecasting and ROI tracking.

- Design immersive experiences and demos that bring Lila’s AI platform, AI science factories and scientific breakthroughs to life for different audiences.

- Build scalable playbooks and processes so future regional and functional teams can execute consistent, high‑quality events.

**What You’ll Need To Succeed**

- 10–15+ years in strategic events, event marketing, or experiential marketing, ideally in B2B tech, life sciences, or AI.

- Proven track record owning a global events portfolio that serves multiple senior audiences (investors, enterprise customers/partners, policymakers, technical communities).

- Strong program management skills and comfort operating in a fast‑moving, highly cross‑functional environment.

- Ability to define and track event ROI, working with CRM and marketing tools (e.g., Salesforce or equivalents).

- Excellent storytelling and communication, with the range to speak credibly to investors, scientists, engineers, policymakers, and candidates.

- Experience managing vendors and influencing C‑suite leaders.

- Willingness to travel 25–40% for events and on‑site execution.

**About Lila**

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, 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.~~

CompensationWe offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.

Expected Base Salary Range: $140,000 USD - $186,667 USD

Manager / Senior Manager, Strategic Events

**Your Impact at LILA**

Lila Sciences is seeking an experienced Staff/Principal Mechanical Engineer to join our Hardware & Controls Engineering team. The specific title (Staff or Principal) will be determined based on experience level and expertise. As a key technical leader, you'll leverage your deep expertise to design and engineer components for workcell robotics, mechanical systems, and automation across life science and physical science domains. You'll collaborate with experimental scientists, AI/ML scientists, software/controls engineers, and process/automation engineers to lead complex projects, guide multidisciplinary teams, and deliver state-of-the-art automation solutions.

**What You'll Be Building**

- Lead the design and implementation of bench-scale robotics and mechanical systems for sophisticated automation in life science and physical science applications.

- Design innovative pneumatic, electro-mechanical, and optical solutions for advanced robotic workcells used in biological research and materials discovery.

- Lead and mentor teams in advanced CAD design and analysis using SolidWorks, optimizing systems for high-throughput workflows.

- Direct the creation and validation of designs through 3D printing, laser cutting, and other rapid prototyping methods.

- Lead cross-functional collaborations to integrate mechanical designs with software and controls across scientific domains.

- Develop strategies to transform manual processes into automated workflows while maintaining rigorous safety and quality standards.

- Coordinate with external vendors for custom component development and system integration.

**What You’ll Need To Succeed**

- Bachelor's or Master's degree in Mechanical Engineering, Robotics, or a related field.

- 8+ years of mechanical engineering experience with proven expertise in life science and physical science automation (title will be determined based on experience & expertise).

- Extensive proficiency in SolidWorks CAD design, GD&T, and DFMA

- Extensive proficiency working with & implementing requirement management systems, product lifecycle management, & product data management.

- Demonstrated leadership in managing complex projects and mentoring engineering teams.

**Bonus Points For**

- Deep experience in automation across scientific domains, with expertise in SolidWorks CAD design, PDM Vault management, rapid prototyping, and mechanical testing.

- Expert knowledge of motion control and mechatronic systems for diverse scientific applications.

- Strong background in automated systems and robotic integration for biological research, and materials science in the biotech sector.

- Demonstrated strong attention to detail in documentation, adherence to standards, and equipment management.

- Experience in automotive manufacturing, battery manufacturing, semiconductor manufacturing, and packaging with discrete material movement.

CompensationWe offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.

Expected Base Salary Range: $163,400 USD - $228,000 USD

Staff / Principal Mechanical Engineer

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