Research and Innovation Engineer

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 our team as a Research Lab Technician where you will play a crucial role in supporting innovative research projects within a dynamic laboratory environment. You will be responsible for conducting experiments, collecting data, and assisting in the development of cutting-edge technologies.

Your Contribution at Lila Sciences Lila Sciences is on the lookout for a dynamic Staff Software Engineer to join our innovative AI Lab Execution System team. In this pivotal role, you will have the opportunity to design, develop, and enhance intelligent, data-driven applications, with a strong emphasis on front-end development. Your focus will include the creation of user interfaces, services, high-performance APIs, and databases, ensuring seamless integration of advanced AI frameworks into our scientific analytics and laboratory workflows. Collaborating closely with ML researchers, platform engineers, and scientists, you will develop systems capable of managing diverse workloads and scaling efficiently. This includes working with structured SQL databases, data lake houses, and vector databases. If you are passionate about creating high-performance, elegant systems that make a real scientific impact, we invite you to apply! Your Responsibilities Include: UI and API Design & Development: Create high-performance, secure, and well-documented user interfaces and APIs that integrate seamlessly with AI-driven applications. Database Design & Management: Develop schemas and manage various data systems (SQL, NoSQL, Vector DBs) to ensure optimal performance and scalability. Application Development: Lead the development of both front-end and backend services, prioritizing performance, maintainability, and reliability. Performance Optimization: Identify and resolve system bottlenecks, ensuring high availability and low-latency performance across extensive workloads. Cloud Infrastructure: Utilize AWS services, Kubernetes, and modern DevOps practices to build and deploy scalable production systems. Collaborative Development: Work alongside ML researchers and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

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 open to hiring for this role at various levels of expertise. For the right candidate, this position can be structured as a Senior Research Manager, with compensation tailored to experience and the anticipated scope of work, potentially exceeding the listed pay rate.About the Cambridge Boston Alignment InitiativeThe Cambridge Boston Alignment Initiative (CBAI) is a nonprofit research organization dedicated to promoting research and education aimed at facilitating a safe and beneficial transition to advanced AI systems. Our efforts include generating original research and accelerating AI safety initiatives through our fellowship programs.Our first summer fellowship cohort has already published significant papers at the Mechanistic Interpretability Workshop at NeurIPS and had accepted papers at ICLR. Additionally, some fellows have transitioned to roles at Goodfire and Redwood Research. Following a successful launch in 2025, we are poised for rapid expansion in 2026, with plans to host multiple fellowship cycles (Fall, Spring, and Summer), double our fellowship cohort, and quadruple our team size.Refer candidates to us and earn $5,000 if they are hired.The RoleIn this role, you will collaborate closely with research fellows and their esteemed mentors—renowned researchers from Cambridge and beyond—to support pioneering work on interpretability, AI control, formal verification for provably safe AI, evaluations, and various aspects of AI governance and policy. We are looking for research managers with experience in both technical research and governance and policy research.Research Management Responsibilities (0.7 FTE)Conduct regular one-on-one meetings with fellows to provide constructive feedback on research progress, assist in overcoming challenges, and coach them through issues such as debugging research methodologies and preparing literature scaffolds, as well as supporting data collection, analysis, and methodology development for experiments and hypothesis testing.Offer feedback on fellows' research and help cultivate an environment that encourages rigorous approaches among them.Connect fellows with relevant resources, literature, and opportunities available during and after the fellowship program.Facilitate communication between fellows and their mentors to ensure a supportive research ecosystem.

About Graphcore At Graphcore, we are pioneering the future of artificial intelligence computing. Our team comprises semiconductor, software, and AI specialists with extensive expertise in developing the complete AI compute stack—from silicon and software to large-scale infrastructure. As a proud member of the SoftBank Group, we benefit from substantial long-term investments, enabling us to contribute essential technology to the rapidly evolving SoftBank AI ecosystem. To capture the immense potential of AI, Graphcore is expanding globally, uniting the brightest minds to tackle the most challenging problems, where every individual is empowered to make a significant impact on our company, our products, and the future of AI. Job Summary As a Research Scientist at Graphcore, you will play a vital role in advancing AI research by exploring innovative ideas that address significant AI/ML challenges. The evolution of AI has been primarily driven by specialized hardware over the past decade, and we believe that developing hardware-aware AI algorithms and AI-optimized hardware will remain crucial for progress in this exciting domain. We seek candidates who are not only curious scientists but also proficient engineers, equipped with both theoretical knowledge and practical skills essential for impactful AI research. We welcome applicants with experience in low-power, edge, and embodied AI applications, including robotics, autonomous vehicles, and augmented/virtual reality. Your expertise will contribute to the training and deployment of multimodal AI models in these contexts, focusing on areas such as world models, real-time computer vision, and reasoning over audio and video streams. The Team The Graphcore Research team engages in both fundamental and applied research to define the computational needs of machine intelligence and showcase how hardware advancements can lead to the next generation of innovative AI models. We actively publish in leading AI/ML conferences (NeurIPS, ICML, ICLR) and participate in specialized workshops while collaborating with various research teams and organizations globally. We take pride in fostering a supportive and collaborative environment, where we organize ourselves around individual research interests to collectively solve challenges in domains such as efficient computation, model scaling, and distributed training and inference of AI models across multiple modalities and applications, including sequence and graph-based data. Our teams are spread across London, Cambridge, and Bristol, with projects and discussions that involve all locations.

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 the Cambridge Boston Alignment InitiativeThe Cambridge Boston Alignment Initiative (CBAI) is a nonprofit organization dedicated to pioneering research and educational initiatives aimed at ensuring a safe and beneficial transition to advanced AI systems. Our mission focuses on producing original research and accelerating AI safety through comprehensive fellowship programs.Since our initial summer fellowship cohort, we have achieved significant milestones, including published papers at prominent conferences such as NeurIPS and ICLR. As we enter 2026, we are poised for rapid growth, planning multiple fellowship cycles and expanding our team significantly.Refer candidates to us, and if hired, you will receive a $5,000 referral bonus!Your RoleAs a Research Program Associate, you will collaborate closely with Research Managers, mentors, and program leadership to design and refine the frameworks that empower fellows to excel in their research. This is a pivotal program-building position where you will create systems for mentor matching, research goal tracking, progress assessment, and problem-solving support for fellows.Program Design & Development (0.6 FTE)Enhance CBAI's fellow selection process and program deliverables.Identify effective outreach channels and manage outreach campaigns for future iterations.Develop evaluation frameworks to assess fellow progress and program effectiveness.Implement structural improvements based on feedback from fellows, mentors, and research managers.Assist in the planning and execution of fellowship events, such as speaker series and poster days.Fellow & Mentor Experience (0.4 FTE)Design and oversee the onboarding process for mentors, ensuring a positive experience.

Our MissionAt rai, we are dedicated to addressing the most pressing and foundational challenges in Artificial Intelligence and Robotics. Our goal is to pave the way for future generations of intelligent machines that enhance our daily lives.Position OverviewWe are seeking passionate and innovative Research Scientists with substantial hands-on research experience in one or more of the following areas: Cognitive AI, Athletic AI, Organic Hardware Design, or Robot Ethics. If you're enthusiastic about advancing robotic technology and its applications to improve functionality and effectiveness, we invite you to join our team!

The Computational Policy Lab at the Shorenstein Center at Harvard Kennedy School is on the lookout for a Senior Software Engineer with deep expertise in software development, generative AI, and data science. This role is embedded within the Shorenstein Center, which focuses on critical areas of inquiry at the intersection of media, politics, and public policy. As part of our team, you will play a vital role in advancing teaching and research initiatives that strive to make a meaningful impact.Application RequirementsTo be considered, applications must include:A detailed resumeA cover letter that includes:A link to a code sample on GitHub that showcases your technical abilities, ideally a project you would enjoy discussing in an interviewA brief description of the linked projectVerification of your legal authorization to work in the United States without sponsorship for a minimum of two yearsJob-Specific Responsibilities:Your main duties will include:Independently managing complex applications/web development for large-scale projectsDesigning and implementing sophisticated software systems geared towards large-scale research projects, focusing on educational technology and generative AI tools.Utilizing recent advancements in machine learning and natural language processing to create, test, and deploy cutting-edge algorithmic tools that support empirical research.Leading and collaborating on projects that involve AI, machine learning, natural language processing, and extensive experimentation.Contributing to the design and implementation of randomized controlled trials and other empirical methodologies to assess the effectiveness of AI-driven interventions.Working closely with researchers to convert theoretical models into high-performance, production-ready systems.Co-authoring or contributing to academic papers and reports for peer-reviewed journals, conferences, and broader audiences.Keeping up with emerging technologies and research in AI, computational social science, and causal inference.Adhering to Harvard University’s IT technical standards and Code of Conduct.Projects you may be involved in include, but are not limited to:AI in Education: We are developing AI-powered technologies that exceed standard tools by providing customized support for student learning. Our flagship tool, PingPong, is currently being evaluated through a large-scale randomized experiment.

Join Our Visionary Team At Flagship Labs 109, Inc. (FL109), we are at the forefront of revolutionizing biology through cutting-edge artificial intelligence, advanced physics, and innovative hardware solutions. Our mission-driven environment fosters creativity and collaboration, empowering you to contribute to groundbreaking advancements in science. Your Role in Our Journey As a vital member of our interdisciplinary team, you will engage in the development and deployment of state-of-the-art AI solutions that enhance our understanding of molecular biology. Your expertise will facilitate the construction of scalable platforms and the effective management of vast datasets, all while collaborating with diverse teams to achieve extraordinary results. We're Excited to Find Talent in the Following Areas: Artificial Intelligence Software Engineering Automation Physics Hardware Engineering

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.

Harvard University’s Psychology Lab in Cambridge seeks a Research Assistant I to support research projects in the social sciences. This position offers the chance to work directly with ongoing studies and gain experience in a university research environment. Main responsibilities Assist with data collection for laboratory studies Conduct literature reviews to support research directions Help with experimental design and setup Who will thrive in this role This position is a strong fit for those interested in practical research experience in psychology or related disciplines. It provides hands-on involvement in lab work and exposure to the daily operations of a university research team.

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.

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 Luminance, a pioneering AI firm in the UK that is transforming the legal sector. Recognized in Tech Nation’s Future Fifty list and awarded with two Queen’s Awards, Luminance stands at the forefront of advanced AI technology.We are seeking passionate and dedicated candidates with a robust academic background in Artificial Intelligence or a related discipline to enrich our R&D team in Cambridge. As a member of our agile team, you will be instrumental in prototyping, developing, and executing innovative solutions to complex AI challenges, while assessing output quality, efficiency, and feasibility in a data-driven environment.This position is open to recent graduates eager to learn and seasoned professionals with substantial experience in the field.If you’re enthusiastic about this opportunity but feel your skills or experience don’t fully match the job description, we encourage you to apply. At Luminance, we are committed to fostering an inclusive workplace where everyone can thrive. Your enthusiasm may be the key to our search for the right candidate, whether for this role or another!

Your Impact at Lila Join our dynamic and innovative AI safety team at Lila Sciences, where we prioritize talent and agency to mitigate risks associated with scientific superintelligence. Our mission is to craft and execute a tailored safety strategy that aligns with our unique objectives and deployment methods. This role involves creating technical safety strategies, engaging with the broader scientific community, and producing critical technical documentation, including evaluations focused on risk and capability assessments. What You’ll Be Creating Design and implement capability evaluations to assess scientific risks, particularly from cutting-edge scientific models integrated with automated physical laboratories across biological and physical sciences. Lead and coordinate threat modeling sessions with both internal and external scientific experts, keeping abreast of emerging technologies and use cases. Develop and manage high-quality training and testing datasets for evaluations and safety systems. Analyze risks associated with Lila’s capabilities and their interactions with the broader ecosystem of general-purpose frontier models and specialized scientific tools. Contribute to high-quality research initiatives focused on scientific capability evaluation and restriction as needed. Assist with external communications regarding Lila’s safety initiatives. What You’ll Need to Succeed A PhD in biological sciences (e.g., molecular biology, virology, computational biology) or physical sciences (e.g., materials science, physics, chemistry, or chemical engineering), or similar experience. Proficient in scientific computing related to biological or physical sciences. Familiarity with dual-use research and dissemination issues within relevant safety, regulatory, and governance frameworks (e.g., export control, biological and chemical conventions). Exceptional communication skills to convey complex technical concepts to non-expert audiences effectively. Proven ability to lead internal and external teams in developing Lila's perspective on biological and physical risks. Demonstrated capacity to collaborate with cross-functional stakeholders (science, AI, product, policy) in a complex environment.

Your Contribution at Lila At Lila, we are assembling a highly skilled and proactive AI safety team that will collaborate with all core departments, including science, model training, and lab integration, to effectively address risks associated with scientific superintelligence. The primary mission of this team is to develop and execute a tailored safety strategy that aligns with Lila's unique objectives and deployment methodologies. This will encompass formulating technical safety strategies, engaging with the broader ecosystem, and producing technical documentation such as risk and capability assessments and safety measures. Your Responsibilities Establish the research and development strategy for Lila’s safety framework concerning biological and physical risks. Design and implement capability evaluations to identify scientific risks (both recognized and novel) arising from state-of-the-art scientific models integrated with automated physical laboratories across biological and physical sciences. Lead and coordinate threat modeling sessions with both internal and external scientific experts, including monitoring advancements in technologies and their applications. Create and curate high-quality training and testing datasets for evaluations and safety systems. Assess risks linked to Lila’s capabilities, considering interactions with the broader ecosystem of capabilities (including general-purpose frontier models and specialized scientific tools). Contribute to extensive, high-quality research initiatives when needed for scientific capability evaluation and restriction. Engage in external communications regarding Lila’s safety initiatives. Qualifications for Success A PhD in a biological sciences field (e.g., molecular biology, virology, computational biology) or a physical sciences field (e.g., materials science, physics, chemistry, chemical or nuclear engineering) or equivalent experience. Proven track record in setting research directions for open issues surrounding dual-use risks in biological and physical sciences. Experience in scientific computing within the biological or physical sciences. Understanding of dual-use research and dissemination issues in relation to relevant safety, regulatory, and governance frameworks (e.g., export controls, biological and chemical-related conventions). Excellent communication skills, capable of articulating complex technical concepts to non-specialist audiences. Demonstrated leadership capabilities in guiding teams of internal and external collaborators in developing Lila's perspective on biological and physical risks.

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.