Research and Innovation Engineer

The Center for Nanoscale Systems at Harvard University is hiring a Research and Innovation Engineer based in Cambridge. This role supports collaborative research efforts focused on nanoscale systems and their use across various scientific disciplines. Role overview As a Research and Innovation Engineer, work will involve partnering with teams from different backgrounds to move research projects forward. The position centers on nanoscale systems, contributing to studies and developments that span several areas of science. Collaboration This role requires regular interaction with interdisciplinary groups, facilitating progress and innovation in ongoing projects. The work environment values teamwork and the exchange of ideas between researchers from diverse fields.

Your Impact at Lila As a Senior or Principal Research Engineer specializing in Synthetic Data, you will play a pivotal role in shaping the vision, roadmap, and execution of our synthetic data initiatives. Your responsibilities will span from asset generation and simulation to integrating machine learning training and achieving measurable enhancements in model performance. Collaborating closely with our Research Engineering team, you will design, generate, and implement artificial datasets aimed at training, testing, and refining Lila’s platform to achieve our strategic objectives. What You Will Build Define and refine the synthetic data strategy along with a comprehensive multi-quarter roadmap. Create evaluation frameworks that effectively connect synthetic interventions with genuine model performance. Establish high standards for asset quality, diversity, thorough documentation, and reproducibility while fostering a robust review culture. What You Will Need to Succeed Over 6 years of experience in applied ML/ML systems, with at least 3 years leading industry initiatives, showcasing a strong track record in advanced algorithms and frameworks designed for large-scale synthetic data generation. More than 8 years of experience working with contemporary ML workflows, including Python, PyTorch, dataset tools, training loops, and evaluation frameworks; adept at profiling and optimizing GPU-intensive pipelines. Bonus Points For A proven history of constructing synthetic datasets from source data to significantly enhance model performance in specific domains. Experience with instruction fine-tuning and hill-climbing techniques. Ability to translate product requirements and feedback into a scalable synthetic data generation pipeline. Knowledge of quantization, distillation, routing, mixture-of-experts, and cost optimization at scale. Experience in compliance-heavy settings (HIPAA, PCI, FedRAMP) and with on-premises/VPC deployments. About Lila Lila Sciences stands at the forefront of innovation as the world’s first scientific superintelligence platform and autonomous lab, dedicated to life sciences, chemistry, and materials science. We are ushering in an era of limitless discovery by harnessing AI to enhance every facet of the scientific method. Our mission is to empower scientists to tackle humanity's most pressing challenges in health, climate, and sustainability at an unprecedented pace and scale. Discover more about our mission at www.lila.ai. If this sounds like an environment in which you would thrive, we encourage you to apply even if your experience doesn't perfectly align with every requirement listed.

Join Harvard University as a Research Infrastructure and Software Engineer, where you will play a pivotal role in enhancing research capabilities through innovative software solutions. Collaborate with cross-functional teams to design, implement, and maintain robust infrastructure that supports diverse research initiatives. Your expertise will enable researchers to focus on their work while you ensure seamless access to data and resources.

Join Artech Information Systems LLC as a Scientist and be a part of groundbreaking research initiatives in the heart of Cambridge. This role offers a unique opportunity to contribute to innovative projects, collaborate with a team of experts, and advance your career in a dynamic environment.

Join Integrated Resources Inc. as an Associate Scientist III in Cambridge, where you'll contribute to groundbreaking scientific research and development. In this role, you will collaborate with a dynamic team to analyze and interpret data, develop experimental protocols, and ensure the highest standards of quality control. Your expertise will play a crucial role in advancing our innovative projects and achieving scientific excellence.

Collaboration Fuels Innovation. Join Roku, the leader in TV streaming technology.As the foremost TV streaming platform across the U.S., Canada, and Mexico, Roku is dedicated to transforming the way viewers engage with television. Our pioneering spirit in streaming technology aims to connect every television globally. We link audiences to their favorite content, empower content creators to grow and monetize their reach, and offer advertisers innovative ways to connect with consumers.From day one at Roku, your contributions will be significant and valued. In our rapidly growing public company, everyone plays an essential role. You will have the chance to enhance the experiences of millions of TV streamers while gaining invaluable insights across various fields. About Our Team At Roku, our Trust Engineering team is a passionate and cohesive group of professionals dedicated to safeguarding our customers, partners, devices, services, infrastructure, and data. We collaborate closely, sharing knowledge and expertise to remain at the forefront of security challenges. By joining us, you will become part of a vibrant team that thrives on overcoming obstacles and celebrating successes together. Role Overview As a Security Researcher Intern at Roku, you will actively participate in our mission to enhance the security and reliability of our streaming services. Collaborating with seasoned professionals, you will gain hands-on experience in security research, threat analysis, and the development of innovative security solutions.

Join our innovative team at Lila Sciences as an AI Lab Research Engineer. In this role, you will contribute to cutting-edge AI research and development, focusing on enhancing the capabilities of our laboratory systems. Your expertise will help drive forward our mission to revolutionize scientific research through artificial intelligence.

Join Harvard University as a Senior Research Software Engineer, where you will play a pivotal role in advancing research through innovative software solutions. You will collaborate with researchers across various disciplines, design scalable systems, and contribute to cutting-edge projects that impact the academic community and beyond.

At Toyota Research Institute (TRI), we are dedicated to enhancing the quality of human life through innovative technology. Our mission is to develop advanced tools and capabilities that enrich the human experience. To spearhead this transformative evolution in mobility, we have assembled a premier team that is at the forefront of advancements in AI, robotics, driving technologies, and materials science.The TeamThe Future Factory team within TRI's Energy and Materials division is committed to pioneering state-of-the-art tools and methodologies that expedite change while enhancing flexibility and efficiency in Toyota's product design and manufacturing processes. Our goal is to accelerate the transition to a zero-emissions future. To accomplish this, we are constructing comprehensive AI systems that can reason about the design and manufacture of physical objects—encompassing geometry, constraints, simulation, and assembly—and creating the engineering infrastructure necessary for training, evaluating, and iterating on these systems at scale.The OpportunityWe are seeking a Senior Research Engineer to collaborate with us in developing the systems and tools that drive our research in physical AI. This role is ideal for candidates with a robust software engineering background, extensive experience in geometry or physical modeling, and a genuine passion for understanding the manufacturing process.As a research engineer on our team, you will design and construct the pipelines and tools that enable researchers to operate swiftly and assess what matters most—ranging from large-scale training and evaluation frameworks to the geometry processing and physics-aware components integral to our models. You will work at the intersection of software engineering and research, translating cutting-edge concepts into reliable, production-ready implementations.

Join Lila Sciences as a Staff or Principal Engineer specializing in Technical Mitigations Research. This role offers an exciting opportunity to leverage your engineering expertise to develop innovative solutions in the field of technical mitigations.

Lila Sciences seeks an Associate Engineer to join the Research Operations team in Cambridge, MA. This team develops high-throughput methods that support scientific discovery across multiple disciplines. The position centers on hands-on work with materials characterization, using advanced tools such as spectroscopy and microscopy. This role provides direct exposure to automation technologies while supporting projects that influence the company’s direction. It suits candidates interested in expanding their engineering skills and building a strong base in scientific operations. Key responsibilities Perform materials characterization using SEMXRF, XRD, Optical Microscopy, Nanoindentation, and Profilometry. Prepare reagents, solutions, electrolytes, samples, and consumables to support experiments across shifts. Follow standard operating procedures to maintain accuracy and consistency. Monitor workflow, troubleshoot routine issues, and escalate concerns to keep operations steady between shifts. Record and organize experimental data with care. Identify and suggest ways to improve efficiency and streamline shift operations. Report unusual results or observations to scientists for review. Collaborate with scientists and engineers on projects spanning life sciences and physical sciences. Location This position is based in Cambridge, MA, USA.

Your Role at Lila SciencesJoin our innovative Physical Sciences division, where you will spearhead the development of intelligent agent-driven systems designed to enhance AI-accelerated and AI-orchestrated process engineering across diverse industrial applications. In this pivotal role, your mission will be to create methodologies empowering AI agents to reason, design, simulate, optimize, and operate complex physical and chemical processes using both traditional and machine learning-driven process engineering tools. You will focus on building agentic infrastructures that facilitate AI systems in planning and executing multi-step process engineering workflows, which include process synthesis, flowsheet generation, steady-state and dynamic simulation, control strategy design, and techno-economic evaluation. Your contributions will significantly influence how Lila's scientific superintelligence addresses real-world challenges through closed-loop autonomous process engineering.Your ContributionsDesign and implement agentic frameworks supporting comprehensive process engineering workflows, encompassing process setup, simulation, optimization, and analysis.Create AI agents capable of autonomously planning, executing, and refining process engineering tasks utilizing existing tools such as steady-state and dynamic simulators, optimizers, and data systems.Investigate agentic strategies for advanced objectives, including process intensification, control co-design, real-time optimization, and closed-loop learning informed by operational data.Enhance the robustness, interpretability, and reproducibility of agent-driven process engineering workflows; develop internal tools for debugging, observability, validation, and auditability.Collaborate with interdisciplinary teams to apply agentic process engineering across a wide range of industrial applications.

We are seeking a highly motivated and detail-oriented Research Scientist to join our innovative team in Cambridge. In this role, you will conduct groundbreaking research, analyze data, and contribute to the development of new solutions in our field. You will work collaboratively with cross-functional teams to drive projects from ideation to execution, ensuring scientific rigor and excellence.

Join our team at Integrated Resources Inc. as an Associate Research Scientist, where you will contribute to cutting-edge research projects that impact real-world applications. We are looking for passionate individuals eager to innovate and collaborate in a dynamic environment. In this role, you will support senior scientists in the design and execution of experiments, analyze data, and contribute to publications. This is a fantastic opportunity to grow your career in scientific research.

We are seeking a detail-oriented and motivated Research Associate to join our dynamic team at Integrated Resources, Inc. As a Research Associate, you will play a pivotal role in conducting research, analyzing data, and supporting various projects that contribute to the advancement of our organization’s goals.Your responsibilities will include collaborating with cross-functional teams, preparing reports, and presenting findings to stakeholders. This position offers an excellent opportunity for professional growth and development in a fast-paced environment.

Your Role at Lila Sciences We are seeking a talented Senior Software Engineer to collaborate with our Machine Learning Engineers and Researchers. You will be instrumental in developing software that enhances Lila’s ML workflows and research tools. Join a dynamic team of engineers as you contribute to the development, support, and maintenance of Lila’s cutting-edge ML libraries and tools. Your Contributions Create and optimize high-performance, secure, and thoroughly documented Machine Learning libraries that implement algorithms crafted by our machine learning specialists. Develop CI/CD pipelines and integration tests to streamline ML workflows. Design repository architectures that adhere to consistent standards. Assist with debugging, logging, and ongoing maintenance of Ray-based compute environments. Establish data ingestion pipelines connecting lab data with the ML teams. Qualifications for Success A minimum of 8 years of software development experience in commercial environments using Go or Python. Proven track record in implementing scalable software solutions. Familiarity with MLOps systems and GitOps tools (ArgoCD, GitHub Actions). Experience with orchestration frameworks like Ray, Argo, or Airflow. Strong knowledge in containerization, Kubernetes, and infrastructure-as-code tools. Excellent listening skills and the ability to comprehend complex problems and algorithms. Outstanding problem-solving abilities and a collaborative mindset. Self-motivated and detail-oriented, eager to work with dynamic, skilled teams in a fast-paced, entrepreneurial environment. Preferred Qualifications Experience with monitoring and logging tools such as Prometheus and Grafana. Background in research engineering or scientific software development. About Lila Sciences Lila Sciences is at the forefront of scientific innovation, pioneering the world’s first scientific superintelligence platform and autonomous laboratory for life sciences, chemistry, and materials science. We are committed to transforming the landscape of discovery by applying AI to every facet of the scientific method. Our mission is to leverage scientific superintelligence to address humanity's most pressing challenges, empowering scientists to deliver solutions in health, climate, and sustainability with unprecedented speed and scale. Discover more about our vision at www.lila.ai.

The Harvard Kennedy School (HKS) is excited to announce a groundbreaking initiative aimed at establishing a premier research enablement environment for public policy. Over the next two years, we will implement and rigorously evaluate innovative strategies to tackle the growing complexities of the research and research compliance landscape. This role is crucial in driving this transformative work.As a vital member of the Research Computing and Data Services (RCDS) team within Library and Research Services (LRS) at HKS, and reporting directly to the Director of Research Computing and Data Services, the Research Navigator will oversee the creation of a streamlined logistical framework for navigating the research compliance ecosystem that Principal Investigators and researchers encounter at HKS. You will develop systems to monitor ongoing research throughout its lifecycle, pinpoint obstacles, and take proactive measures to eliminate barriers and resolve bottlenecks. Collaborating extensively across multiple administrative offices within HKS and across Harvard, you will engage in problem-solving, design, and propose policy and process enhancements to ensure prompt initiation of research projects. Under the guidance of the HKS Chief Research Data & Privacy Officer and the Director of Research Computing and Data Services, this position will also explore and pilot new initiatives to enhance the research experience at HKS.We are looking for candidates who possess:An innovative and entrepreneurial mindset combined with robust analytical and logistical skills.A demonstrated ability to function effectively in a distributed organization that necessitates collaboration with diverse stakeholders to achieve goals.A capacity to engage with research, business, legal, and technical experts as needed to devise and implement solutions.A proactive approach and proven capability to tackle cross-functional challenges across organizational boundaries.Experience working effectively in collaborative or team environments.A commitment to fostering belonging, community, and connections within the workplace.At LRS, we prioritize continuous learning. You will be encouraged to pursue new areas of knowledge relevant to this role and apply your new skills on the job. Additionally, you will support and promote this learning culture among other LRS members.HKS, including LRS, is dedicated to cultivating a welcoming and supportive environment for staff, faculty, and students. This position will contribute to building such a community and fostering an atmosphere in LRS that values and prioritizes belonging, community, and connection.

Join Harvard University as a Research Analyst where your analytical skills will contribute to groundbreaking research projects. As a Research Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets, providing insights that will drive strategic decisions. Collaborate with faculty and researchers to enhance the university's research capabilities and contribute to impactful studies.

We are seeking a highly motivated and detail-oriented Research Scientist to join our innovative team in Cambridge. As a key member of our research department, you will be responsible for conducting cutting-edge experiments, analyzing data, and contributing to groundbreaking discoveries in your field. You will collaborate with a diverse group of scientists and researchers to drive projects that align with our mission of advancing scientific knowledge.

Join Engine as a Senior Associate in Community OperationsAt Engine, we empower visionary founders who are tackling the world's most critical challenges in areas such as climate change, health, and advanced technologies. Our commitment includes providing robust support through founder programs, access to shared infrastructure and labs, and the opportunity to connect with a diverse national network of corporate partners, investors, and industry experts.