Senior Associate, Community Operations at Engine | Cambridge, MA

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 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.

Join our dynamic team at Ramboll as a Senior / Principal Electrical Engineer. In this role, you will lead innovative projects, collaborate with a talented team, and contribute to the development of sustainable electrical solutions. Your expertise will be pivotal in driving forward our commitment to excellence in engineering.

Job Summary: The Center for Education Policy Research (CEPR) at Harvard University is on the lookout for a highly skilled Senior Research Manager. This pivotal role involves overseeing and enhancing the analytical efforts of the Center, which collaborates with school districts, charter school networks, and state education agencies to apply rigorous research methodologies and data analysis to inform strategic management and policy decisions. CEPR is dedicated to revolutionizing education through research and evidence, and believes that all students can succeed when education leaders rely on data-driven decision-making rather than intuition or untested assumptions. The Senior Research Manager will play a crucial role in this mission by leading innovative quantitative research on key issues and developing agile research models that better equip education leaders. The selected candidate will spearhead the development, management, and execution of high-quality analyses on significant educational topics. This role will likely involve managing a research partnership with an education non-profit organization in the Philippines and its governmental partners, focusing on school improvement and research agenda development. Additionally, the Senior Research Manager will support various projects within CEPR and supervise Research Analysts across multiple initiatives.Duties & Responsibilities:As a Senior Research Manager, your primary responsibilities will include:Leading analytics across diverse projects throughout the research life cycle, which entails formulating research questions, designing studies, writing grant proposals, collecting data, conducting analyses, and authoring reports and academic papers.Managing research analysts while providing professional development and training workshops to enhance their research competencies and professional skills through mentorship and collaborative learning experiences.Delivering technical training to analysts and staff from local education agencies on research methodologies and appropriate statistical methods.Facilitating joint meetings for the research team, project directors, and principal investigators.Collaborating closely with executive leadership, principal investigators, and representatives from partner organizations to refine ideas and strategies for new projects, identifying funding opportunities, and designing research frameworks.Ensuring the effective execution of research projects by developing comprehensive work plans, adhering to project timelines, and coordinating tasks for ongoing and future CEPR projects.Building professional relationships of trust with internal and external stakeholders, including data administration personnel, program staff, and principal investigators.Ensuring the integrity and quality of all research outputs.

POS-4092 Team and Product Focus The Data Hub team at HubSpot connects scattered data sources to deliver practical insights for Revenue Operations, marketing, sales, and customer teams. By integrating information from various channels and tools, the team improves data quality and makes this data actionable within HubSpot. This enables teams to run AI-powered demand generation, optimize campaigns, and produce reliable reports, without requiring deep expertise in data systems. Product engineering here blends data engineering, machine learning, applied AI, and market strategy. The group prioritizes reliability, cost efficiency, and scalability, while always considering usability for marketers and sales professionals. Role Overview HubSpot is seeking a Lead Principal Software Engineer to steer the next phase of Data Hub's development. This platform is evolving into the central engine for data-driven demand generation company-wide. Key Responsibilities Take ownership of critical components in the data lake and analytics architecture, working with technologies such as Iceberg, Spark, and both batch and streaming data pipelines. These systems underpin large-scale demand generation, segmentation, and scoring. Design and refine data systems to achieve the right balance between cost, latency, data freshness, and reliability. Apply principles like the CAP theorem, efficient partitioning, and thoughtful storage layout to guide decisions. Collaborate closely with Product Management, product analytics, and go-to-market leaders to deliver solutions that drive business outcomes: improved lead scoring, enhanced funnel visibility, audience segmentation, and campaign attribution for marketing and sales. Contribute to transforming Data Hub into an AI-powered platform, aiming for curated, always-available datasets that support AI agents and reporting tools, eliminating the need for manual integrations or custom pipelines. This is a hands-on principal engineering position. The role involves building systems, working alongside product and design, and amplifying the impact of HubSpot's broader engineering community.

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.

TetraScience is at the forefront of the Scientific Data and AI revolution, creating AI-native scientific datasets that power next-generation lab data management solutions and drive transformative scientific outcomes.About UsAs a leader in the Scientific AI market, TetraScience is recognized for generating more revenue than any of our competitors combined. In the past year, major players in computing, cloud, data, and AI have chosen TetraScience as their go-to partner for co-innovation and market strategies. For more information, visit our Newsroom.As part of your application, we encourage you to review the Tetra Way letter, written by our co-founder and CEO, Patrick Grady. This document will provide you with insights into our values and culture, helping you determine if TetraScience aligns with your professional ethos.Your RoleAs a Scientific Business Analyst, you will leverage your analytical mindset and strategic thinking to connect scientific insights with advanced technology. You will collaborate with scientists, product managers, and engineers to derive actionable insights from complex scientific data.With your expertise in Analytical Development and synthetic route optimization, you will identify innovative applications for AI and machine learning. Your strong communication skills will enable you to engage effectively with both scientific and business stakeholders, maximizing the value derived from scientific data.We seek a proactive, disciplined individual who is passionate about defining requirements for sophisticated solutions within R&D and Quality sectors of Life Sciences. You will embody principles of extreme ownership, demonstrating a proven ability to extract maximum value from data through enrichment, analysis, and integration with AI technologies.This position demands self-discipline and determination as we strive to revolutionize the life sciences industry.

We are seeking a highly motivated Senior Research Associate to join our dynamic team at Integrated Resources, Inc. In this pivotal role, you will conduct advanced research, analyze data, and contribute to innovative projects that drive our mission forward. If you are passionate about scientific research and eager to make an impact, we want to hear from you!

We are seeking a talented and dedicated Senior Research Associate to join our dynamic team in Cambridge. In this role, you will contribute to innovative research projects and collaborate with interdisciplinary teams to drive impactful findings.

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.

Role overview Harvard University seeks a Principal Research Scientist for the Sciences - Chemistry and Chemical Biology department in Cambridge. This role leads research efforts, working closely with faculty and other researchers to advance scientific understanding in chemistry and chemical biology. What you will do Direct research projects in chemistry and chemical biology Collaborate with faculty and research teams on experimental design and analysis Apply innovative methods to address complex scientific questions Contribute to scientific publications and presentations

Join our dynamic team at Integrated Resources Inc. as a Senior Neurology Research Associate, where you will play a pivotal role in advancing groundbreaking research in neurology. You will collaborate with top-tier professionals, contributing to innovative projects that drive the future of neurological health.

At Iterative Health, we are at the forefront of healthcare technology and services, dedicated to revolutionizing clinical research and enhancing patient outcomes. Our Site Network is a distinguished consortium of over 70 clinical research sites across the United States and Europe, accelerating the introduction of innovative therapies in gastrointestinal (GI) and hepatology. We focus on empowering our partner sites with technology-driven services, combining extensive clinical trial expertise with cutting-edge artificial intelligence (AI), enabling research teams and sponsors to broaden and hasten access to essential therapeutics for patients.We are pioneering the integration of advanced, proprietary AI tools in cardiology and drug development, aiming to significantly enhance clinical decision-making while improving patient lives through superior diagnosis, disease management, and treatment.As a Senior Clinical Research Specialist I, you will report to the Head of Cardiology and Growth, collaborating closely with the Director of Clinical Research (Cardiology) to integrate Iterative Health’s services and AI solutions at cardiology-focused clinical research sites nationwide. This role requires exceptional communication skills, customer engagement, and comprehensive clinical research expertise, coupled with a robust strategic skill set. You will directly support a portfolio of sites by assessing their current state using our established methodologies, delivering tailored training and ongoing assistance to promote research best practices, drive the adoption of Iterative Health’s services, and ensure that our sites meet their research objectives.

At RAND Europe, we are dedicated to enhancing policy and decision-making through meticulous research and analysis. As an independent, not-for-profit organization, our commitment to the public interest drives us to complete over 200 impactful projects each year, shaping policies and practices for the greater good.Our diverse team of approximately 200 professionals operates across offices in Cambridge, Brussels, and The Hague. Representing 22 nationalities and speaking more than 20 languages, our staff spans 31 academic disciplines, providing unique insights through multi- and inter-disciplinary research approaches for our government, foundation, and NGO clients.The Data Science Lab at RAND Europe serves as our center of excellence, focusing on the application of innovative data science tools and techniques. From artificial intelligence adoption to applied statistics, we are at the forefront of transforming research methodologies. We seek passionate individuals eager to contribute to our mission of advancing data science and its applications.As a Research Data Scientist, you will engage in various research themes, encompassing data gathering, pipeline construction, analysis, modeling, and effective visualization of findings for diverse audiences. Your contributions will include the creation of research tools and workflows, such as AI-driven solutions and numerical models, to address both research and operational challenges. Collaborating within a cross-disciplinary team, you will leverage your skills to tackle complex technical problems.

About the Role The Center for Nanoscale Systems at Harvard University seeks a Research and Innovation Engineer. This position works closely with interdisciplinary teams to advance research projects centered on nanoscale systems and their applications in multiple scientific fields.

Collaboration Fuels Innovation. Join Roku in Revolutionizing Television ConsumptionRoku stands as the leading TV streaming platform across the U.S., Canada, and Mexico, with a vision to empower every television globally. As pioneers in streaming technology, our mission is to bridge the gap in the TV ecosystem, connecting viewers with their favorite content, supporting content creators in audience engagement and monetization, and offering advertisers innovative means to reach consumers effectively.From day one at Roku, you will play a crucial role in shaping the viewing experience for millions of streamers worldwide while gaining invaluable experience across diverse functions. About Our Team The Ads Analytics team is integral to Roku's Advertising division, spearheading measurement and analytics projects that inform strategic decisions across the advertising landscape. We design and manage tools that provide actionable insights for advertisers while addressing the operational and analytical requirements of our internal teams. Collaborating closely with Product Managers, Ad Sales, Ad Operations, Data Science, and various other software teams, we strive to deliver impactful solutions.

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.