Lila Sciences jobs

Staff Engineer, Data Platform Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Lila Sciences is building the software platform that makes automated scientific discovery possible. At the heart of that platform is data: raw outputs from laboratory instruments, experimental model results, curated public datasets, and the scientific literature that contextualizes all of it. The data platform team is responsible for the infrastructure that moves, stores, transforms, and surfaces this data across the organization. We are looking for a Staff Engineer to set the technical direction for our core data infrastructure: ingestion frameworks, storage architecture, orchestration patterns, and the interfaces that let scientists and ML researchers work with data reliably at scale. You will work closely with software engineers, machine learning researchers, and lab scientists to understand requirements and translate them into durable platform capabilities. This is a role for engineers who care deeply about how data systems are designed. You will establish the architectural patterns and engineering standards the broader team builds on, mentor engineers across the data platform group, and make technical decisions that compound over time. What You'll Be Building - Data Platform Architecture: Design and evolve the core data infrastructure that ingests, stores, and serves data across scientific and ML workflows. Make principled build-vs-buy decisions and establish architectural patterns adopted by the broader engineering organization. - Ingestion and Integration: Build reliable pipelines that bring in data from diverse sources: laboratory instruments, public scientific datasets, and external research literature. Own the interfaces between upstream producers

Director, Data Platform Engineering San Francisco, CA USA Your Impact at LILA Lila is seeking a highly motivated and experienced engineering leader to lead a team responsible for our Lila's product data platform. You will own the data platform and infrastructure end-to-end - architecture, delivery, reliability, and developer/data scientist experience. Our mission is to deliver Scientific Super Intelligence through a reliable, scalable, and self-service infrastructure for data ingestion, storage, processing, and interaction - enabling AI/ML, product teams, and scientists to build data-intensive applications with confidence and speed. Our platform supports analytical and machine learning workloads across Lila, serving autonomous DBTL cycles, instrument data pipelines, and AI inference workflows. You will be responsible for building and leading a team of talented engineers, driving technical strategy, and ensuring the scalability and performance of our data management and data serving capabilities of our Data Platform. You will work closely with data scientists, data engineers, lab scientists, and product teams to understand their needs and deliver innovative solutions that leverage the power of cutting edge data processing technologies. What You'll Be Building - Team Leadership: Build, mentor, and manage a high-performing team of 8-12 data engineering experts. Evaluate and adopt modern data infrastructure - including real-time streaming (Kafka, Flink), columnar engines (DuckDB, ClickHouse), lake house, and cloud-native object storage architectures; Foster a culture of collaboration, innovation, and continuous improvement; Provide technical guidance and mentorship to team members, promoting their professional growth; Conduct performance reviews, provide feedback, and identify opportunities for training and development; Manage

Director, Discovery Chemistry Cambridge, MA USA Your Impact at LILA The Director, Discovery Chemistry will lead the design, synthesis, and optimization of small molecules across Lila's discovery platform, with a primary focus on organic synthesis, molecular design, and scalable chemistry execution . This leader will build and scale a world-class molecular chemistry program that translates AI-generated molecular hypotheses into high-quality, synthetically tractable, and functionally validated chemical matter. Working closely with Lila's AI, automation, computational, biology, and platform teams, this role will establish the chemistry infrastructure required to rapidly progress novel molecules from concept to validated candidates across a broad range of discovery efforts. The Director will drive synthetic strategy, route design, analog generation, molecular property optimization, and chemistry-enabled innovation, while enabling seamless integration with robotic synthesis and platform-based experimentation. This leader will play a central role in shaping Lila's molecular discovery engine by combining deep expertise in synthetic organic chemistry, molecular design, and data-enabled experimentation to accelerate the discovery of high-value molecules for therapeutic and broader platform applications. What You'll Be Building - Drive discovery chemistry strategy across discovery programs, with strong emphasis on small molecule design, synthetic innovation, analog generation, and optimization of chemical matter. - Lead the design and execution of synthetic routes for novel small molecules, emphasizing speed, robustness, scalability, and compatibility with automated synthesis platforms. - Develop and implement efficient workflows for molecular design, compound prioritization, analog generation, and iterative design-make-test cycles in collaboration with AI and computational teams. - Partner closely with automation and platform

Vice President, Head of Marketing Cambridge, MA USA Your Impact at LILA We're seeking a Vice President / Head of Marketing focused on accelerating commercial growth and strategic partnerships. This role fuels pipeline, enables revenue, and increases partner-driven adoption across priority industry segments. Reporting line is flexible and can sit under our Chief Communication and works directly with the CEO/Founder, with day-to-day collaboration across Sales, Partnerships, Revenue, Product, and Scientific leadership. You will define and execute marketing motions that translate frontier science and technical capabilities into enterprise-ready programs that open doors, build trust, and close. What You'll Be Building Drive commercial demand and pipeline - Build and run an integrated demand engine targeting senior scientific and business buyers (R&D leadership, innovation executives, technical decision-makers). - Develop account-based marketing programs for enterprise and strategic accounts. - Plan and optimize channel mix across digital, field events, executive programs, and partner-led efforts. - Own reporting and iteration loops that connect marketing activity to pipeline outcomes. Enable partnerships and ecosystem growth - Create go-to-market motions with partners that generate qualified introductions and joint opportunities. - Develop partner-facing materials, co-marketing kits, and joint event strategies. - Identify and cultivate ecosystems that matter to LILA's commercial expansion (scientific communities, industry networks, and mission-aligned institutions). Build segment-specific positioning and sales enablement - Translate LILA's technical platform into clear, differentiated value propositions for priority verticals. - Partner with Commercial leadership to define ICPs, buyer personas, and qualification narratives. - Deliver sales enablement: pitch narratives, technical collateral, case studies,

Head of Software Product Cambridge, MA USA Your Impact at LILA As the Head of Software Produc t you will serve as the primary architect of our software product strategy. You will lead the development of our “Agentic Superscience” software-the foundational platform designed to reinvent the scientific method through AI. Reporting directly to the Chief Revenue & Product Officer, you will be responsible for transforming complex scientific workflows into a scalable, world-class software ecosystem. You will set the roadmap, build the processes, and the culture necessary to deliver Lila's most critical competitive advantage. As a member of the leadership team, you will play a critical role in shaping the culture, technical strategy, and therapeutic impact of our software. What You'll Be Building - The Agentic Platform : Lead the roadmap and build of our foundational software platform that enables AI agents to conduct, analyze, and iterate on complex materials, chemistry, and biology experiments. - A Cross-Functional Engine: Create the integrated framework that allows Software, ML, and Wet-lab teams to work in a continuous, high-performance loop. - Customer-Centric Interfaces: Deliver reliable, intuitive interfaces and high-performance endpoints that make scientific superintelligence accessible to diverse users. - Operational Excellence: Own the product lifecycle from discovery to delivery. Implement robust frameworks for prioritization that balance rapid innovation with enterprise-grade reliability. - The Product Org & Executive Voice: You will build the frameworks for high-level communication, serving as the authoritative voice for the software product and providing the strategic insights that will influence Lila's overall

Machine Learning Scientist I/II, Scientific Reasoning Cambridge, MA USA Your Impact at LILA As a Machine Learning Scientist focused on Scientific Reasoning, you will help pioneer the next generation of AI systems capable of reasoning like a scientist. You'll design novel frameworks that push the boundaries of LLM-based reasoning methods - while also implementing scalable frameworks that integrate with Lila's platforms. This role bridges deep theoretical thinking with practical ML engineering, enabling breakthroughs in how scientific hypotheses are generated, tested, deployed and optimized. What You'll Be Building - Design and formalize frameworks for scientific reasoning with LLMs , including structured prompting, reasoning chains, and test-time compute. - Explore and implement methods for in-context learning, self-reflection, and adaptive reasoning in scientific discovery workflows. - Build scalable model prototypes that can be deployed to solve frontier scientific problems. - Collaborate with scientists and engineers to encode domain knowledge into reasoning systems that integrate symbolic and statistical approaches. What You'll Need to Succeed - PhD (preferred) or equivalent research/industry experience in Computer Science, Machine Learning, AI, Engineering, Materials Science or related fields. - Strong programming skills in Python with deep expertise in LLM frameworks (PyTorch, HuggingFace Transformers, LangChain, LlamaIndex , and related toolkits). - Expertise in LLM reasoning methods : in-context learning, test-time compute, chain-of-thought, or tool-augmented reasoning. - Ability to balance theoretical research with practical ML engineering to deliver scalable solutions. Bonus Points For - Research experience in causal reasoning, symbolic AI, or probabilistic programming . - Contributions to open-source LLM reasoning

Contractor, Robotics Engineer Cambridge, MA USA Your Impact at LILA Lila's Autonomous Science Platform is building a closed-loop, AI-driven scientific facility, and inter- and intra-cell transport in the AISF is a critical bottleneck on that path. We're bringing on a Robotics Engineer on a temporary basis to help unblock it. Sitting on the Next Gen Robotics team and based at Alewife, you'll work hands-on across the robotics stack - physical hardware and simulation - to integrate, tune, and debug systems that have to run reliably in production. The work spans ROS2 development, motion planning, and real-world hardware integration, with upstream science projects (including 1023-009-GRIDv1) gated on what you ship. This is a 3-month contract with potential to extend and potential to convert to full-time based on performance and ongoing need. What You'll Be Building - Develop ROS2 nodes, launch files, and message/service/action interfaces to support inter- and intra-cell transport workflows - Bring up and integrate physical robotic systems - including arms, AMRs, or mobile manipulators - into the AISF environment - Build and maintain simulation environments in Isaac Sim and/or Gazebo to de-risk hardware deployments before they hit the floor - Debug hardware and software integration failures end-to-end: kinematics, calibration, timing, and sensor issues - Contribute domain depth in motion planning, navigation, localization, perception, or sensor fusion as the team's needs evolve - Document configurations, failure modes, and operating procedures so the team can scale and maintain what you deploy What You'll Need to Succeed - Bachelor's degree or higher

Contract, Lab Operations Specialist I (2nd shift) Cambridge, MA USA Your Impact at LILA Lila Sciences is seeking a Lab Operations Specialist I to support second-shift operations within our AI Science Factory (AISF) environments. This role is critical to maintaining the operational backbone of our laboratories, ensuring that scientific workflows, automation platforms, and experimental teams can operate continuously and without interruption. Working within a high-throughput, rapidly scaling environment, you will help translate operational needs into reliable day-to-day execution by maintaining organized lab spaces, supporting material flow, and ensuring that laboratory systems remain ready for ongoing work. This is an excellent opportunity for someone interested in laboratory operations, logistics, and supporting advanced scientific and automation systems in a fast-paced research environment. What You'll Be Building - Maintain operational readiness of laboratory environments during second shift, ensuring spaces support ongoing scientific and automated workflows - Manage consumables and material flow, including restocking, inventory monitoring, and staging materials for upcoming experiments - Support laboratory service programs, including glasswash coordination, waste handling, and lab coat management - Assist with receiving, organizing, and distributing materials, samples, and small equipment across lab spaces - Identify and resolve routine operational issues, escalating more complex problems to appropriate teams (LabOps, Sustained Engineering, EHS) - Document work and communicate updates to ensure continuity between shifts and visibility into ongoing lab operations - Work within established systems (e.g., inventory platforms, ticketing tools) to support tracking and coordination of lab activities - Collaborate cross-functionally with scientific, engineering, and operations teams to

Senior Software Engineer, Data Cambridge, MA USA; San Francisco, CA USA 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 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 Data Platform Team (Data) builds and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter. What You'll Be Building - Design & Build APIs: Design and build high-performance, secure, and well-documented 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. - 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

Manager / Senior Manager, Multimedia Cambridge, MA USA What You'll Be Building We are seeking a creative, technically fluent, and highly organized Multimedia Sr. Manager to join our team. This in-house role is the go-to resource for multimedia content creation, production, and asset management across the organization - from corporate communications and scientific storytelling to supporting our broader content asset needs. This role is intentionally broad. At Lila, multimedia is infrastructure. You will produce content that helps the company communicate internally and externally, attract world-class talent, support business operations, advance commercial & government relationships, and document scientific discovery in real time. Lila is building scientific superintelligence, and this person will be embedded in that environment. You should be genuinely comfortable engaging with scientists and engineers, quickly absorbing new concepts, and translating complex, frontier work into clear, compelling visuals and narrative content. A background in science, biology, AI, robotics, or software is a strong plus. Responsibilities Multimedia production (core) - Create and produce engaging multimedia content - including videos, graphics, and animations - for a wide range of internal and external platforms and audiences. - Capture and edit high-quality photographs and video for promotional materials, internal communications, recruiting, events, and social content. - Manage end-to-end production from concept development to final delivery , including coordination of timelines, reviews, and asset handoff & management. - Stay current with industry trends, emerging tools, and best practices in multimedia production - with particular attention to AI-powered tools that can accelerate or elevate the work.

Electrical Engineer I/II Cambridge, MA USA Your Impact at LILA Lila is seeking a motivated Electrical Engineer I or II to contribute to the design and deployment of electrical systems in our automated scientific equipment. This role involves applying core engineering principles to support electrical systems design, rapid prototyping, and cross-system integration, while collaborating within multi-functional teams to advance laboratory automation. This is an ideal opportunity for an early-career engineer who is eager to grow, thrives in a fast-paced R&D environment, and wants to see their work directly accelerate the future of autonomous science. What You'll Be Building - Contribute to the design and implementation of electrical solutions using CAD tools and design software to produce wiring schematics and support system optimization. - Assist in designing and building prototypes, applying agile methodologies to test and iterate on electrical systems and components for novel scientific instruments. - Work alongside senior engineers and scientists to help convert manual benchtop workflows into automated solutions in an R&D setting. - Support the development of process instrumentation, sensors, and field-level control devices to ensure precision and reliability in system performance. - Create, update, and maintain engineering documentation for assigned projects, including wiring schematics, test plans, instrument I/O lists, and results analysis. - Perform calibration, testing, troubleshooting, and validation of electrical systems to ensure performance, accuracy, and safety standards are met. - Support multi-team automation projects by independently executing assigned technical tasks, meeting milestones, and adhering to engineering best practices. - Engage with cross-functional teams to

Technical Program Manager, AI Data Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Lila is building toward scientific superintelligence, which depends on a steady supply of high-quality, purpose-built AI data. We're looking for a Senior or Principal Technical Program Manager to join our AI Research team to drive multiple AI data generation and curation workstreams - standing up new project teams, keeping them on schedule, and incorporating that data into the model training pipeline. You don't need to be an ML researcher, but you must be genuinely curious about how AI data fuels model development and able to clearly articulate what your programs will deliver. The successful candidate thrives in ambiguity, communicates exceptionally well across audiences, and knows how to build clarity and momentum on a fast-paced, rapidly scaling team. What You'll Be Building - Launch and operate cross-functional project teams that produce AI data for scientific superintelligence, ensuring each team executes with at high velocity and delivers standardized outputs the model training team can directly consume. - Serve as the key communication interface between project teams and the research, science, and model training organizations; set up the organizational information flows that allow this communication to happen with speed at scale. - Drive accountability across distributed, cross-functional teams without relying on direct authority; build consensus through clear communication and sound judgment. - Define and enforce data delivery standards, QA gates, and handoff protocols so model training receives consistent, high-quality inputs across all active project teams. - Implement

Principal Engineer, AI Security Cambridge, MA USA Your Impact at LILA As a Principal Security Engineer focused on AI Security, you will define and drive the technical strategy for securing how AI is used across Lila's enterprise. You will operate as a senior individual contributor, partnering with IT and business teams to ensure safe and compliant adoption of AI tools and platforms. While Lila builds AI-powered systems, this role is primarily focused on securing the use of third-party and internally deployed AI tools across the enterprise - ensuring sensitive data, intellectual property, and scientific workflows are protected as AI becomes deeply embedded in how work gets done. What You'll Be Building - Enterprise AI Security Strategy - Define and implement security controls and guardrails for the use of AI tools (e.g., LLM APIs, SaaS AI platforms, and internal AI services) across the organization. - AI Gateway & Agentic Gateway Security - Design and implement AI gateway controls to manage and monitor access to external and internal AI systems. Secure agentic workflows by enforcing identity, authorization, tool-use constraints, and policy controls for autonomous or semi-autonomous agents. - AI Red Teaming & Adversarial Testing - Conduct red teaming and adversarial testing focused on enterprise AI usage, including prompt injection, data exfiltration, jailbreaks, and abuse of connected tools and plugins. - Data Protection for AI Usage - Develop and enforce controls to prevent sensitive data leakage through AI systems, including input/output filtering, data classification, tokenization, and secure handling of prompts, embeddings, and outputs.

Research Scientist I/II, Statistical Mechanics and Dynamics Cambridge, MA USA Your Impact at LILA Your role in our Physical Sciences division will focus on designing and implementing state-of-the-art simulation approaches to model transport, kinetics, rare events, and reaction networks, and integrating them with AI-driven platforms for materials discovery. Your work will be integral to our efforts in predicting, designing, and controlling the behavior of complex materials and molecular systems, and their acceleration via agentic AI. You will partner with diverse teams at Lila, including machine learning experts working on scientific superintelligence and materials science experts performing real-world experiments. What You'll Be Building - Develop and extend molecular dynamics and Monte Carlo algorithms to capture rare events, non-equilibrium processes, transport phenomena, and mapping complex reaction networks. - Build scalable simulation workflows that integrate statistical mechanics methods with machine learned interatomic potentials and agentic AI frameworks. - Design methods for coupling dynamics simulations with experimental observables to enable closed-loop verification and discovery with automated labs. - Collaborate with computational scientists, machine learning experts, and platform engineers to advance the fidelity and scalability of simulation-driven materials discovery. - Establish reproducible, modular software pipelines for statistical mechanics and dynamics simulations that can be deployed on HPC and cloud-based infrastructure. What You'll Need to Succeed - PhD or equivalent research/industry experience in Physics, Chemistry, Chemical Engineering, Mechanical Engineering, Applied Mathematics, or related fields. - Strong background in statistical mechanics, free energy calculations, reaction mapping, non-equilibrium dynamics, and rare-event sampling. - Demonstrated expertise with molecular dynamics,

Staff Forward Deployed Engineer, Physical Sciences (Level Flexible) Cambridge, MA USA Your Impact at LILA We're seeking extraordinarily talented Forward Deployed Engineers across Engineer, Senior Engineer, and Lead Engineer levels to join our growing team. Our FDEs are high-performing generalists with a broad set of skills, in addition to depth in one or more focus areas. This FDE, Physical Sciences role requires experience in chemistry and materials science in an industrial manufacturing setting. As an FDE, you'll embed directly with our internal biotech and materials science teams as well as external customers, living their problems and rapidly building solutions that transform their research capabilities. You'll leverage our AI and software platform tools while developing bespoke features that address each customer's unique challenges. This isn't traditional software development-it's high-velocity, AI-fueled, high-impact engineering where you'll ship production code in days, not months. What You'll Be Building - Developing, wrapping, and adapting domain-specific tools for data analysis, process optimization, molecular modeling, and more - Deploying custom, agentic scientific workflows that integrate with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA) - Building real-time data pipelines that transform messy scientific data into actionable insights - Creating intuitive interfaces that make complex AI/ML capabilities accessible to scientists - Architecting solutions that scale from proof-of-concept to enterprise-wide deployment What You'll Need to Succeed - Domain expertise in chemistry, materials science, or related field - Outstanding communication skills-you'll interface directly with both executives and the manufacturing line - Experience with data engineering, ETL pipelines,

Research Scientist, Dexterous Manipulation & Robot Learning Cambridge, MA USA Your Impact at LILA As a Robotics Scientist at Lila, you will lead the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You'll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering. What You'll Be Building - Pioneering approaches for precise and dexterous robotic manipulation that leverage foundation models, reinforcement learning, diffusion-based methods, and human guidance to enable adaptive and intelligent robotic systems capable of complex tasks across diverse scientific environments - Developing novel human-robot interaction frameworks that incorporate imitation learning, and learning from human guidance, feedback, demonstrations and corrections, creating intelligent robotic agents that can seamlessly integrate with human scientific workflows and rapidly adapt to new experimental contexts - Advancing dexterous manipulation research through cutting-edge machine learning approaches, including diffusion models and adaptive learning algorithms, that synthesize multi-modal sensing (tactile, visual, and language) to develop generative skill representation sand sophisticated motor learning policies for intelligent robotic systems - Designing autonomous robotic systems with trust calibration mechanisms, enabling intelligent agents that can dynamically adjust their behaviors based on contextual information in complex scientific tasks What You'll Need to Succeed - Ph.D. in Robotics, Machine Learning, Computer Science, or a related field with demonstrated expertise in foundation models for

Scientist I / II, Robotics Cambridge, MA USA Your Impact at LILA As a Robotics Scientist at Lila, you will lead the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You'll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering. What You'll Be Building - Design and develop autonomous robotic systems for transport and workcell operations, integrating advanced path planning, navigation, and motion planning algorithms - Build production-grade mobile manipulation platforms leveraging ROS/ROS2 and modular robotic architectures - Advance robotic perception by integrating sensing modalities such as 3D vision, LIDAR, and tactile sensors to enable robust, adaptable task execution - Use simulation environments to model, test, and optimize task planning, scheduling, and robot behaviors in diverse lab scenarios - Collaborate with AI, mechanical, and software engineering teams to translate theoretical robotics research into real-world autonomous systems What You'll Need to Succeed - Ph.D. in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field, or equivalent research experience - Expertise in motion planning, path planning, and navigation for manipulation and mobile robotics - Proficiency with ROS/ROS2, C++, and Python, with hands-on experience building robotic systems in real-world environments - Deep understanding of perception systems and sensor integration (e.g., camera, LIDAR, tactile sensors) - Proven ability to take robotic systems

Engineer II / Senior Mechatronics Engineer, Hardware & Controls Engineering Cambridge, MA USA Your Impact at LILA Lila Sciences is seeking a Mechatronics Engineer II to join our Advanced Engineering Team to design, develop, and optimize electromechanical systems. This role bridges hardware, software, electrical, and controls to deliver intuitive, high-performance automated solutions. What You'll Be Building - Write control software to coordinate sensors, actuators, and motion systems into cohesive automated solutions - Develop HMI/GUI interfaces for operator interaction and system monitoring - Prototype and build test jigs and fixtures to de-risk designs and optimize system performance - Program and tune servo drives, actuators, and sensor feedback loops - Create control algorithms and logic for automated equipment - Collaborate with cross-functional engineering teams What You'll Need to Succeed - Bachelor's degree in Mechatronics, Electrical, or Mechanical Engineering - 3-5 years of relevant experience - Experience with HMI development platforms - Proficiency with version control systems, especially Git & Github . - Proficiency with C/C++ and Python, or similar languages - Experience with microcontrollers (STM-32, Arduino, Raspberry Pi) - Experience with rapid prototyping techniques - Experience specifying and integrating sensors, motors, drives - Understanding of analog signal types (4-20mA, 0-10V) and discrete I/O - Thrives in a hands-on prototype heavy environment - Strong troubleshooting and debugging skills Bonus Points For - Understanding of machine states, control theory and PID tuning - Experience or familiarity with PLC based systems - Familiarity with industrial communication protocols (EtherNet/IP, RS-232, OPC/UA, MQTT) - Experience or familiarity

Senior Software Engineer, ML Research Cambridge, MA USA Your Impact at LILA We're hiring a Senior Software Engineer to team with our Machine Learning Engineers and Researchers to build software that powers Lila's ML workflows and research tooling. You will be on a team of software engineers that work alongside machine learning experts to develop, support, and maintain Lila's ML libraries and tools. What You'll Be Building - Design and build high-performance, secure, and well-documented Machine Learning libraries that implement the algorithms designed by machine learning researchers and engineers. - CI/CD pipelines and integration tests for ML workflows. - Architect repository designs to follow consistent standards. - Support debugging, logging, and maintenance for Ray-based compute environments. - Data ingestion pipelines linking lab data to ML teams. What You'll Need to Succeed - Minimum of 8 years of experience writing software in a commercial setting in Go or Python. - Experience implementing scalable software solutions. - Experience with MLOps systems, GitOps (ArgoCD, Github Actions) - Familiarity with orchestration frameworks (Ray, Argo, Airflow). - Proficiency in Containerization, Kubernetes and infrastructure-as-code tools. - Acute listening skills and patience to deeply understand complex problems and algorithms. - Excellent problem-solving skills and team-first mentality. - Energetic self-starter and independent thinker with strong attention to detail. - Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting. Bonus Points For - Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana) - Research engineering or scientific software experience. Compensation We offer

Manager / Senior Manager, Finance, Fixed Asset Accounting Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA We are seeking a detail-oriented and highly collaborative Revenue Manager to own the operational execution of revenue accounting for licensing, collaboration, and other complex revenue agreements. This role sits within the finance function and focuses on ensuring accurate, timely, and scalable revenue processes, partner reporting, and billing operations. As the Fixed Asset Accounting Manager at Lila, you'll play a critical role in building and scaling the Company's fixed asset, lease, and capital project accounting infrastructure during a period of rapid growth and innovation. You will own the end-to-end accounting lifecycle for capital assets-from acquisition and capitalization through depreciation, impairment, retirement, and audit support-while partnering closely with Procurement, Facilities, Lab Operations, and Finance. This role will be instrumental in establishing best-in-class asset accounting processes, ensuring accurate financial reporting, supporting strategic capital investments, and maintaining compliance with U.S. GAAP. You will help build the operational and accounting foundation that supports Lila's expanding laboratory, facilities, and scientific equipment footprint. What You'll Be Building Fixed Asset Accounting & Reporting - Own the fixed asset accounting function, including capitalization, depreciation, disposals, transfers, impairments, and reconciliations. - Manage the monthly fixed asset close process and prepare supporting journal entries and account reconciliations. - Maintain accurate fixed asset records and ensure compliance with capitalization policies and U.S. GAAP. - Review capital expenditures and determine appropriate accounting treatment. - Support accounting for laboratory equipment, capital leases, leasehold improvements, construction-in-progress

Senior Director, Cloud Security, Compliance Lead San Francisco, CA USA Your Impact at LILA Cloud Security & Compliance Lead is responsible for the end-to-end security, governance, risk management, and regulatory compliance of Lila Sciences' cloud environments and research workflows. You'll own cloud security architecture, policy frameworks, data protection, and compliance programs across multi-cloud and on-premises contexts as appropriate. You'll partner with Engineering, Data Science, IT, Legal, and Compliance to codify secure patterns, enable rapid yet safe experimentation, and maintain a robust governance program with auditable evidence for regulators and customers. What You'll Be Building Cloud Security Architecture & Governance - Define and maintain cloud security strategy, reference architectures, and security baselines for public cloud (AWS, Azure, GCP) and hybrid deployments. - Implement secure-by-default patterns for CI/CD is intentionally out of scope; focus on secure design patterns for cloud resources, data flows, and analytics. - Establish IAM least privilege, network segmentation, private endpoints, key/secret management, and centralized logging across AWS, Kubernetes (where applicable), and cloud-native services. Governance, Compliance & Risk Management - Develop, implement, and continuously improve policies, standards, and procedures aligned to applicable frameworks (e.g., NIST CSF, NIST 800-53, FedRamp, ISO 27001, SOC 2, GDPR/CCPA). - Lead data protection program: data classification, data minimization, data retention, and data lifecycle management; oversee DLP strategies where relevant. - Manage third-party risk assessments, vendor security questionnaires, and contract security annexes; maintain evidence for audits. Security Controls & Monitoring - Define and oversee security controls across cloud resources, including identity, access management, encryption, key

Machine Learning Engineer II / Senior Machine Learning Engineer I, Physical Sciences Cambridge, MA USA Your Impact at LILA This Machine Learning Engineer for the Physical Sciences team focuses on building and operating end-to-end, scalable machine learning workflows that solve a diversity scientific use cases in materials, chemistry and physical sciences. Your work will advance research efforts on state-of-the-art algorithms to build towards scientific superintelligence across today's greatest challenges in physical sciences. What You'll Be Building - Design, implement, and maintain end‑to‑end ML pipelines (data ingestion, feature engineering, training, evaluation, deployment, monitoring). - Productionize models and services with robust testing, observability, and documentation in collaboration with cross-functional software teams and build CI/CD workflows and automated evaluations to ensure safe, frequent releases. - Collaborate with domain scientists and platform engineers to translate research insights into performant, scalable systems. - Contribute to technical design reviews, coding standards, and mentoring of best practices. What You'll Need to Succeed - BS/MS/PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience. - Strong Python software engineering fundamentals (testing, packaging, typing); experience with machine learning frameworks (e.g., PyTorch, Huggingface, etc.). - Experience deploying ML services to production in cloud-based infrastructure (FastAPI/GRPC, containers, orchestration, cloud infra). - Hands‑on experience with model deployment in production systems (LLMs, multimodal models, databases, RAG) with strong debugging and profiling skills. - Clear communication and collaboration in cross‑functional settings. Bonus Points For - Exposure to scientific or engineering domains (materials, chemistry, physics) and related data formats/benchmarks. - GPU

Staff Forward Deployed Engineer, Life Sciences Cambridge, MA USA Your Impact at LILA We're seeking extraordinarily talented Forward Deployed Engineers across Engineer, Senior Engineer, and Lead Engineer levels to join our growing team. Our FDEs are high-performing generalists with a broad set of skills, in addition to depth in one or more focus areas. As an FDE, you'll embed directly with our internal biotech and science teams as well as external customers, living their problems and rapidly building solutions that transform their research capabilities. You'll leverage our AI and software platform tools while developing bespoke features that address each customer's unique challenges. This isn't traditional software development-it's high-velocity, AI-fueled, high-impact engineering where you'll ship production code in days, not months. What You'll Be Building - Developing, wrapping, and adapting domain-specific tools for molecular modeling, data analysis, process optimization, molecular modeling, and more - Deploying custom, agentic scientific workflows that integrate with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA) - Building real-time data pipelines that transform messy scientific data into actionable insights - Creating intuitive interfaces that make complex AI/ML capabilities accessible to scientists - Architecting solutions that scale from proof-of-concept to enterprise-wide deployment What You'll Need to Succeed - Background in biology, molecular science, or related scientific field - Outstanding communication skills-you'll interface directly with both executives and the manufacturing line - Experience with data engineering, ETL pipelines, and working with complex/messy datasets - Strong full-stack development skills with the ability to work across backend, frontend,

Senior Scientist, Analytical Chemistry Cambridge, MA USA Your Impact at LILA The Senior Scientist, Analytical Chemistry will develop and deploy advanced analytical and characterization strategies to support Discovery Chemistry efforts across Lila's platform, with a focus on enabling the rapid design, synthesis, screening, and optimization of small molecules and related molecular matter. This scientist will play a key role in generating high-quality, information-rich experimental data that informs chemistry decisions and accelerates platform learning. Working closely with Discovery Chemistry, automation, AI/computational, and screening teams, this role will establish and scale multimodal characterization workflows that go beyond traditional analytical chemistry approaches. The Senior Scientist will help build an integrated analytical capability spanning compound characterization, reaction monitoring, molecular profiling, and high-throughput data generation to support fast and iterative design-make-test-analyze cycles. This role will be critical to shaping Lila's next-generation discovery engine by combining deep expertise in analytical chemistry with high-throughput experimentation, multimodal data generation, AI-enabled workflows. What You'll Be Building - Develop, optimize, and implement analytical and multimodal characterization workflows to support Discovery Chemistry programs and molecular discovery campaigns. - Support the design, synthesis, screening, and optimization of small molecules by delivering rapid, reliable, and information-rich analytical data. - Lead analytical method development for compound identification, purity assessment, impurity profiling, reaction monitoring, and molecular characterization using techniques such as liquid chromatography, mass spectroscopy, NMR, and complementary orthogonal methods. - Build characterization strategies that extend beyond traditional analytical methods , incorporating multimodal measurements that provide deeper insight into molecular identity, reaction outcomes, physicochemical properties,