Associate Research Scientist

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.

Collaboration Fuels Innovation. Join Roku - Redefining Television ExperienceAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to empower every television worldwide. We pioneered the streaming revolution and strive to connect consumers with the content they love while enabling publishers to thrive and advertisers to engage effectively.From day one at Roku, your contributions are impactful and appreciated. We are a fast-paced, publicly traded company where everyone is an active participant. This role offers the chance to enhance the viewing experience for millions globally while gaining invaluable experience across various disciplines. Role OverviewWe are seeking a 12-month UX Research Intern to collaborate on a variety of research initiatives, with a strong focus on international user research. You will receive mentorship from a senior UX researcher and work closely with product managers, designers, data scientists, and engineers to influence product decisions through mixed-method insights (both qualitative and quantitative). Your ResponsibilitiesDevelop and conduct mixed-method studies (including interviews, usability tests, diary studies, concept tests, and surveys) across diverse countries and cultures.Assist with international research operations including participant recruitment, localization, incentives, and vendor coordination.Design, implement, and analyze surveys (screening, satisfaction, feature adoption) utilizing best practices for sampling and question formulation.Execute both moderated and unmoderated qualitative research, synthesizing findings into clear, actionable insights.Work alongside data science to combine behavioral data with attitudinal research to create a cohesive narrative.Present and communicate insights through comprehensive reports, debriefs, and succinct readouts tailored to various stakeholders.We Would Love to See You HaveEnrollment in a full-time degree program pursuing a Bachelor’s or Master’s degree in HCI, Psychology, Anthropology, Sociology, Design, Data Science, or a related field.

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.

Join our dynamic team at swgroup as a Trust Tax Assistant and play a crucial role in delivering exceptional tax services. In this full-time position, you will assist with the preparation and management of trust tax returns, ensuring compliance with regulatory requirements while providing support to our clients. You will work closely with experienced tax professionals and gain valuable insights into the intricacies of trust taxation.

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.

About Flagship Pioneering Flagship Pioneering is a biotechnology company based in Cambridge, MA. The team invents and builds platform companies focused on advancing human health and sustainability. Flagship brings together scientific leaders, entrepreneurs, and experienced capital managers to address challenges ranging from cancer care to sustainable agriculture. The company’s portfolio includes organizations that have vaccinated billions, developed new treatments, and promoted eco-friendly practices. Flagship has been recognized on FORTUNE’s “Change the World” list and featured in Fast Company’s annual “World’s Most Innovative Companies.” Role Overview: Lead Cloud Security and Application Security Engineer This role shapes Flagship’s cloud security and application security engineering practice. Supported by the CISO and Director of Security Engineering, the position focuses on defining and executing cloud posture management, secure software development lifecycle (SSDLC) security, and cloud-side data loss prevention. The engineer will work closely with the Infrastructure & Operations team on cloud architecture and network infrastructure. One of the main responsibilities is to build workflows that use AI and large language models (LLMs) to automate routine security tasks, freeing up time for complex challenges that require human judgment. The position leads technical execution for cloud security and application security across Flagship and its portfolio, partnering with engineering teams to embed security into development pipelines from the start. Key Responsibilities Establish and lead Flagship’s cloud security and application security engineering practice Define cloud posture management, SSDLC security, and cloud-side DLP strategies Collaborate with Infrastructure & Operations on cloud architecture and network infrastructure Develop and implement AI-enhanced workflows using LLMs and intelligent tools Automate recurring tasks to focus on high-impact security work Work directly with engineering teams to integrate security into development pipelines Drive technical execution of cloud security and AppSec across Flagship and its portfolio companies Work Location Cambridge, MA, USA

Teamwork makes the stream work. Roku is revolutionizing the way the world experiences televisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is dedicated to powering every television globally. We pioneered the streaming experience and are on a mission to connect the entire TV ecosystem. We link consumers to their favorite content, empower publishers to build and monetize vast audiences, and offer advertisers unparalleled opportunities to engage viewers.Your journey at Roku begins with impactful contributions. As a rapidly expanding public company, every team member plays a vital role. Join us in delighting millions of TV streamers worldwide while gaining invaluable experience across diverse fields. About This TeamThe Embedded teams focus on device firmware, platform features, and the integration of system-on-chip (SoC) components, emphasizing reliability, performance, and seamless user experiences across devices and TVs. About the InternshipJoin Roku’s embedded software team as a Software Engineer Intern, where your enthusiasm for technology and creativity will be pivotal to our success. This paid internship lasts for 12 weeks, starting in Summer 2026.As an Embedded Software Engineer Intern, you will tackle a specific project that enhances our embedded stack, such as implementing a new feature, improving performance, or developing automation enhancements to ensure the delivery of high-quality software across devices. Your ResponsibilitiesLead a project in the embedded sphere; possible tasks include implementing a feature, optimizing memory/performance, or creating automated tests for a system module.Utilize C++ on Linux-based systems; employ debugging and analysis tools to reproduce, isolate, and resolve issues.Collaborate with engineers across firmware, platform services, and quality assurance to ensure reliable delivery. Preferred QualificationsCurrently pursuing a degree in Computer Science, Engineering, or a related field.Proficiency in C++ (experience with modern C++ is a significant advantage).Familiarity with development and debugging on Linux-based embedded platforms.

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.

Join Redgate Software as a Product Security Engineer!At Redgate, we develop innovative, user-friendly software solutions that empower data professionals to maximize the value of their databases. Our products address intricate database management issues throughout the DevOps lifecycle, enhancing efficiency, minimizing errors, and safeguarding critical business data. The data community places its trust in Redgate to effectively balance speed to market, teamwork, and data security.Explore more about our vibrant culture and commitments:Redgate Software – CultureFlexa CareersGlassdoorRepVueYour RoleAs a vital member of our team, you will integrate security into the software development lifecycle across various product teams. Your responsibilities will include defining security requirements, enhancing detection and prevention mechanisms (SAST/DAST), guiding teams on application security governance, and conducting threat modeling.Your Contributions at RedgateCollaborate with engineering and product teams to define and operationalize security requirements throughout the SDLC, from design to deployment.Conduct audits of application code to identify weaknesses and vulnerabilities.Lead or co-lead application security governance practices, including secure-by-default standards, patterns, guardrails, and risk acceptance processes.Promote SAST/DAST adoption and ensure high-quality outcomes through tool tuning, triage workflows, severity calibration, and fix-forward practices.Facilitate the implementation of threat modeling for new features, architectural changes, and high-risk services, transforming findings into actionable engineering tasks.Offer guidance on product security within cloud-native environments (AWS and containerized workloads), focusing on secure service design.

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.

Cambridge Mobile Telematics (CMT) develops technology aimed at making roads safer. The DriveWell® Fusion platform processes data from millions of IoT devices, smartphones, connected cars, and dashcams using AI. Insurers, automakers, and mobility companies use these insights to better understand driver behavior and support safety efforts worldwide. Role overview The Analytics Engineer Intern works closely with both the IoT and Data Engineering teams. The main responsibilities include building data pipelines, developing reliable data models, and creating analytics tools that help teams make informed decisions. AI tools play a key role in the workflow, enabling faster pipeline development and improving data accessibility for stakeholders. This internship supports CMT’s IoT Operations and Product Analytics groups. Projects may include monitoring device performance or analyzing large-scale driver behavior trends. What we look for Strong motivation and technical skills Interest in AI and its practical applications Desire to contribute to safer roads through data-driven work Location Cambridge, MA

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.

Collaboration Fuels Innovation. Transforming the Way the World Experiences TelevisionRoku is the leading TV streaming platform across the U.S., Canada, and Mexico, and we are on a mission to empower every television globally. As pioneers in streaming technology, our goal is to be the central platform connecting the entire television ecosystem. We facilitate connections between consumers and their favorite content, help content publishers grow and monetize their audiences, and provide advertisers with unique tools to engage viewers.From your very first day at Roku, you will play a crucial role in our mission. We are a rapidly growing public company where every team member's contribution is valued. Join us to delight millions of TV streamers worldwide while gaining invaluable experience across diverse disciplines. About Our Team The Roku Trust Engineering team comprises a dedicated group of professionals passionate about information security. Our mission is to safeguard our customers, partners, devices, services, infrastructure, and data. We work collaboratively, sharing insights and expertise to stay ahead of potential threats. Join us, and you’ll be part of a vibrant team that thrives on overcoming challenges and celebrates achievements together.

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.

Collaboration Fuels Innovation. Join Roku: Transforming the Future of TelevisionRoku is the leading TV streaming platform across the U.S., Canada, and Mexico, with a vision to power every television globally. As pioneers in streaming technology, our mission is to seamlessly connect consumers with their favorite content, assist publishers in growing their audiences, and enable advertisers to engage with consumers uniquely.From day one at Roku, you will be a crucial part of our team. As a rapidly growing public company, we believe every employee has the opportunity to make a difference. Experience the thrill of delighting millions of TV viewers worldwide while developing your skills across various disciplines. About the role Are you ready to immerse yourself in the realm of observability and contribute to developing Roku's next-generation AI-driven observability platform? Do you have a passion for the CNCF open-source ecosystem, including tools for metrics, logs, and tracing? Are you excited to explore how AI and Large Language Models can enhance observability workflows? If you thrive on problem-solving, enjoy collaborating with diverse teams, and seek innovative approaches to enhance observability through intelligent automation, this is the role for you. Here, you will have the chance to expand your skills while managing large-scale operations involving high-volume data and requests across various regions and clusters, all while leading the charge in AI-powered observability solutions. If you are eager to learn and make a significant impact at the intersection of observability and AI, we would love to hear from you!