Technical Designer for Old School RuneScape

Location: Cambridge, UK – This role offers flexible working options, but candidates must reside or be willing to relocate within a reasonable commuting distance of our Cambridge office for onsite attendance as needed.This position is an 18-month fixed-term contract.Are you a creatively adept game designer with a profound passion for Old School RuneScape and …

Isomorphic Labs is hiring a Head of Translational Sciences, Drug Design for its Cambridge, MA site. This senior leader will guide the translational strategy across the drug discovery portfolio, working closely with teams at the intersection of biology, artificial intelligence, and medicine. The position plays a central role in shaping how new therapies are advanced and how disease mechanisms are understood within the organization. Role overview This leadership role focuses on driving translational approaches for drug design. The Head of Translational Sciences will collaborate with colleagues to advance projects from early discovery through clinical evaluation. The team’s work includes strengthening biological insights into disease, supporting the selection of drug targets, and developing biomarkers to track pharmacodynamic effects and target engagement in clinical studies. Translational Sciences at Isomorphic Labs The Translational Sciences group in Boston is essential to the company’s mission. This team informs critical decisions across the portfolio, guiding projects through various stages of research and development. Close collaboration with other teams ensures that scientific progress benefits from both biological expertise and AI-driven insights. Company background Founded in 2021, Isomorphic Labs (IsoLabs) builds on the breakthroughs of the AlphaFold system. The company brings together drug discovery experts and machine learning specialists to develop predictive and generative AI models that accelerate scientific progress. The team uses AI to model complex biological systems, design new therapeutic molecules, and pursue treatments for challenging diseases. Ongoing innovation in model architecture supports work across diverse therapeutic areas and modalities. Culture Isomorphic Labs values interdisciplinary collaboration and a supportive environment. Every team member contributes to the shared goal of addressing serious diseases through AI-driven science and digital biology.

At Gearset, we are at the forefront of the DevOps revolution for Salesforce, driven by our commitment to addressing the genuine, intricate challenges faced by our users in a straightforward and intuitive manner. This passion is embodied in our exceptional UX team. As a member of our team, you will tackle significant challenges alongside intelligent and supportive peers who share a passion for delivering quality experiences.We are confident in our innovative platform and the untapped potential of the market, and we have ambitious plans for future growth. As we expand, we are actively seeking talented UX designers to join our ranks. Whether you identify as a mid-level or senior UX designer, we are eager to initiate a conversation with you.

COMPANY DESCRIPTION Flagship Pioneering is a leading bioplatform innovation firm dedicated to inventing and building transformative companies that aim to make a significant impact on the world. By merging top-tier scientific talent with entrepreneurial visionaries, we mobilize the resources necessary to support bold innovations. Our endeavors in human health, sustainability, and beyond accelerate scientific advancements across a spectrum of fields, including disease detection and treatment, nature-positive agriculture, and cutting-edge AI applications. What distinguishes Flagship is our unique capacity to propel science and technology forward by integrating innovation, company formation, and capital investment under one roof—an approach that is largely unprecedented. Our scientific pioneers, entrepreneurial leaders, and expert capital managers are aligned in a structured process that facilitates transformative innovation for the benefit of both humanity and the planet. We have founded companies that tackle some of society's most pressing challenges, including delivering vaccines to billions during the COVID-19 pandemic, finding cures for chronic diseases, enhancing health outcomes, and fostering sustainable agricultural practices. Flagship Pioneering has been recognized twice on FORTUNE’s “Change the World” list, acknowledging our positive social and environmental contributions, and we have also been honored on Fast Company’s annual list of the World’s Most Innovative Companies. THE ROLE We are on the lookout for a Senior Scientist to spearhead the design, characterization, and optimization of aerosolizable particle systems. This pivotal role involves developing a comprehensive understanding of engineered particles during their generation, dispersion, and transport in air, and translating that knowledge into robust and scalable material and system designs. The Senior Scientist will operate at the intersection of materials science, aerosol physics, and experimental engineering. You will lead the development of aerosol testing capabilities, shape experimental strategies, and connect particle design with airborne performance. This individual will play a vital role in establishing core methodologies and driving projects from concept to validation. In this highly collaborative position, you will work closely with formulation, process development, and hardware teams to ensure seamless integration between particle design, production processes, and real-world deployment challenges.

Join our innovative team at Sonsoft Inc. as a User Experience (UX) Designer. In this role, you will be instrumental in shaping user-centered designs that enhance the overall experience for our clients’ digital products. Collaborate with cross-functional teams to conduct user research, create wireframes, and develop prototypes that align with business goals and user needs.

At HyperLight, we are pioneering the commercialization of thin-film lithium niobate (TFLN) integrated photonics, a groundbreaking technology that is revolutionizing high-performance, scalable optical components for applications in AI/datacom infrastructure, hyperscale computing, quantum computing, and sensing. Established in 2018 and supported by prominent venture capital, we have assembled a dedicated team and robust platform to facilitate the real-world mass deployment of TFLN photonics technology.Our TFLN Chiplet™ platform is at the heart of our innovation—a modular, integrated architecture that emphasizes scalability, manufacturability, and seamless integration into complex systems. This unique platform combines exceptional performance with industrial readiness, empowering system developers to quickly implement our technology across various applications. We engage collaboratively with our customers and suppliers, guiding them through conceptualization, design, prototyping, and mass production to ensure a smooth transition and swift deployment of TFLN photonic technology.We believe that our platform is essential in ushering in a golden age of integrated photonics, propelling humanity forward. Our team, comprised of top-tier professionals across engineering, business, and operations, is driven by integrity, innovation, collaboration, and pragmatic solutions. We embrace challenges with curiosity, humility, and a deep commitment to one another's success.We are currently seeking a Product Engineer to support and expedite the development of our telecom (DPIQ) products. This hands-on position, based at our headquarters, will involve close collaboration with our internal design, operations, production, and testing teams to drive product development and ensure rapid time-to-market. As a Product Engineer, your contributions will be critical in shaping product-related discussions and decisions impacting HyperLight's business. Your responsibilities will include:Defining key performance requirements and optimizing components and products in collaboration with the Design teamLeading DVT and KGD test development in partnership with the Testing teamConducting system-level modeling to ensure product compliance with customer expectations and developing new product offerings alongside product line managementMonitoring and enhancing product yield in close cooperation with Product, Operations, and Production teamsDriving continuous improvement within telecom product development processes and documentation

Join Riverlane as a Senior Digital Design Engineer in Cambridge, UK. This full-time, permanent position offers a hybrid working model.Salary Range: £70,000 to £90,000 DOE + Bonus + BenefitsWe are flexible and will consider part-time applications. Please specify your preferred working hours in your cover letter.

The Harvard Institute for Learning in Retirement is seeking a dedicated Administrative and Program Manager to oversee various initiatives aimed at enhancing the educational experience for senior learners. This role involves coordinating programs, managing administrative tasks, and engaging with community members to ensure our offerings are impactful and enriching.

Join Luminance, the trailblazer in Legal-Grade™ AI for enterprises, and be part of a revolutionary journey in the legal industry. With the backing of esteemed venture capitalists and recognition as one of the 'Most Promising Private AI Companies in the World' by Forbes AI 50, as well as a spot on Inc. 5000’s list of 'Fastest Growing Companies in America', Luminance is transforming the legal landscape globally.We are on the lookout for innovative Software Engineers, Machine Learning Engineers, AI Engineers, or Data Scientists who possess a hacker mentality and a solid foundation in production-grade AI applications. Proficiency with Large Language Models (LLMs) like GPT, Claude, Mistral, etc., is crucial, particularly with experience in agentic environments.With ambitious growth plans ahead, we seek bright, passionate, and driven individuals to help us meet these exciting challenges. From day one, you will be developing features and tools for some of the world’s largest corporations, where speed and quality of execution are paramount.Your role will involve creating AI prototypes that integrate multiple components to effectively address complex tasks in intricate scenarios. You will also be responsible for incorporating cutting-edge agentic technologies (such as memory management and personalization) and transforming your solutions into reusable libraries and frameworks.If this opportunity excites you but your qualifications don’t perfectly match the job description, we still encourage you to apply. Your eagerness to learn and innovate is the most important asset we seek at Luminance!

At Charles River Analytics, a proud member of the GRVTY family, we are dedicated to creating innovative solutions and cutting-edge technologies that address the world's most complex challenges. Our dynamic team of entrepreneurial technologists collaborates to pioneer advancements in AI, robotics, smart sensing, and human-centered computing. Our research and development efforts not only elevate government programs but also unlock new opportunities in the commercial sector. As part of GRVTY, we enhance our capability to deliver trusted solutions across critical national security domains. If you are enthusiastic about driving mission-focused innovations, we invite you to join us!We are currently looking for a Senior Computer Vision and Autonomy Engineering Lead to spearhead technical leadership, architectural guidance, and team management for projects focused on robotic navigation, autonomous systems, and advanced sensor processing. This role includes significant technical responsibilities at a senior level, alongside the chance to lead a talented team of 5–10 engineers. The ideal candidate will possess profound expertise in computer vision and autonomy, exceptional communication skills, and a passion for developing and mentoring engineering talent.Your Impact:Lead the design, development, and integration of computer vision and autonomy algorithms and software systems.Mentor and manage a team of engineers specializing in computer vision, perception, and autonomy; assist with hiring, onboarding, performance assessments, and professional growth.Develop robust and maintainable software solutions for applications such as object detection and tracking, SLAM, visual odometry, sensor fusion, and image processing.Optimize and deploy machine learning models on embedded, edge, and real-time systems utilizing frameworks like PyTorch or TensorFlow.Oversee system architecture, conduct technical reviews, ensure code quality, and uphold engineering best practices.Collaborate with scientists, engineers, and operational experts to define technical requirements and translate research concepts into actionable solutions across ground, sea, air, and space domains.Engage with customers through technical briefings, requirement discussions, field testing, and integration activities.Contribute to proposal development, technical documentation, reports, and transition planning for applied research and product development initiatives.Support the enhancement and scalability of internal technical capabilities to address emerging program and commercialization demands.

About Pioneering Intelligence Imagine harnessing the power of science, data, and artificial intelligence to revolutionize technology and accelerate innovation. This is the mission of Pioneering Intelligence, an initiative by Flagship Pioneering that aims to blend cutting-edge research with digital sciences. We are committed to creating AI and machine learning-driven platforms that can transform human health, sustainability, and more. Pioneering Intelligence builds upon Flagship's legacy of pioneering companies at the forefront of AI, driving advancements throughout the ecosystem and enabling the creation of groundbreaking innovations. Our team comprises computational scientists and engineers from diverse fields including applied mathematics, nuclear physics, engineering, and computational biology. We leverage our collective expertise to tap into the broad spectrum of scientific knowledge and promote innovative thinking that transcends conventional computational boundaries. We are constructing a next-generation digital foundation that combines computational science, AI/ML, knowledge engineering, data platforms, and workflow automation. These capabilities empower Flagship to explore uncharted territories and transform scientific insights into transformative enterprises. About the Role The Flagship Data Platform is a shared resource that facilitates swift progress for Flagship companies by providing secure and well-governed access to reliable data across our portfolio. As the Senior Director, Product Manager for the Data Platform, you will spearhead the product strategy, roadmap, and execution from initial use cases to widespread adoption. You will collaborate closely with software and ML engineers, UX designers, scientists, and senior stakeholders across various companies to convert ambiguous, high-value opportunities into impactful products that enhance scientific discovery and decision-making. You thrive in a dynamic, interdisciplinary environment and can seamlessly transition between strategic planning, discovery, and hands-on execution. Key Responsibilities Develop and maintain the comprehensive product vision and roadmap, establishing metrics and priorities to optimize impact. Swiftly conduct product discovery through user research, problem definition, prototyping, and validation. Coordinate priorities with an empowered technical lead. Utilize product analytics, qualitative feedback, and experimentation to guide decision-making. Effectively communicate results to stakeholders. Define and apply metrics to measure product effectiveness.

Join the Future of AI at GraphcoreAt Graphcore, we are pioneering the next generation of AI computing technology.Our team comprises seasoned professionals from semiconductor, software, and AI sectors, with extensive expertise in developing a comprehensive AI compute infrastructure—from silicon and software to large-scale data center solutions.As a proud member of the SoftBank Group, we benefit from substantial long-term investment, enabling us to contribute pivotal technology to the rapidly evolving SoftBank AI ecosystem.In response to the immense opportunities within the AI landscape, Graphcore is expanding its global teams, uniting brilliant minds to tackle the most challenging problems in an environment where each member can significantly influence our company, products, and the future of artificial intelligence.

Your Contribution at Lila At Lila, we are assembling a dynamic and empowered AI safety team dedicated to proactively addressing the potential risks associated with scientific superintelligence. This team will collaborate closely with all core departments, including science, model training, and lab integration, to craft a customized safety strategy that aligns with our unique objectives and deployment methods. Key responsibilities will encompass the development of technical safety strategies, engagement with the broader ecosystem, and the creation of essential technical documentation, including risk assessments and capability evaluations. Your Key Responsibilities Design and execute evaluations to identify scientific risks—focusing on both established and emerging threats—from state-of-the-art scientific models integrated with automated physical laboratories. Develop initial proof-of-concept safety measures, such as machine learning models designed to detect and mitigate unsafe behaviors from scientific AI models and physical laboratory outputs. Gain a comprehensive understanding of various model capabilities, primarily within scientific contexts but also extending to non-scientific domains (e.g., persuasion, deception) to shape Lila's overarching safety strategy. Engage in high-quality research initiatives as needed to evaluate and restrict scientific capabilities effectively. Qualifications for Success A Bachelor's degree in a relevant technical field (e.g., computer science, engineering, machine learning, mathematics, physics, statistics) or equivalent experience. Proficient programming skills in Python and hands-on experience with machine learning frameworks (such as Inspect) for large-scale evaluations and structured testing. Demonstrated experience in constructing evaluations or conducting red-teaming exercises pertaining to CBRN/cyber risks or frontier model capabilities, encompassing both unsafe and benign attributes. Background in designing and/or implementing AI safety frameworks in cutting-edge AI enterprises. Exceptional ability to communicate intricate technical concepts and issues to audiences without technical expertise. Desirable Qualifications A Master’s or PhD in a field pertinent to safety evaluations of AI models within scientific areas or another technical discipline. Publications in AI safety, evaluations, or model behavior at leading ML/AI conferences (such as NeurIPS, ICML, ICLR, ACL) or model release documentation. Experience exploring risks arising from novel scientific advancements (e.g., biosecurity, computational biology) or utilizing specialized scientific tools (e.g., large-scale foundational models in science).

Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Relocation package: AvailableStart date: ASAPLanguages: English (required)About the RolePragmatike is seeking a highly skilled Principal AI/ML Engineer to join a rapidly growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by researchers from MIT CSAIL.In this pivotal role, you will become an integral part of our elite AI engineering team, responsible for architecting, developing, and deploying advanced AI systems utilized by Fortune 500 clients. Your technical expertise will drive the development of essential ML components while collaborating closely with AI researchers, platform engineers, and product teams to ensure the delivery of scalable, production-ready AI solutions.This position is tailored for seasoned AI/ML engineers with a proven track record of building and deploying models in production settings, eager to work at the nexus of research-grade AI and practical systems engineering.Key ResponsibilitiesDesign, construct, train, and refine machine learning and deep learning models for production deploymentLead the successful deployment of ML models into robust, scalable production environmentsArchitect training, inference, and evaluation pipelines for both structured and unstructured datasetsOwn the performance, reliability, scalability, and lifecycle management of ML modelsDrive experimentation, model iteration, and performance benchmarking initiativesImplement and uphold high-quality ML codebases primarily in PythonMonitor, troubleshoot, and enhance live production modelsCollaborate with platform, backend, and infrastructure teams to ensure seamless system integrationContribute to technical direction, architecture decisions, and AI roadmap strategiesMentor junior engineers and foster a culture of technical excellence within the teamDesired QualificationsBachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related discipline7+ years of relevant professional experience in AI/ML, data science, or applied machine learning rolesDemonstrated experience in deploying ML systems in production environmentsStrong proficiency in Python and familiarity with machine learning frameworksExcellent problem-solving skills and a passion for innovation in AI

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.

We are seeking a talented and motivated Data Scientist to join our dynamic team at Integrated Resources, Inc. in Cambridge. As a Data Scientist, you will play a pivotal role in analyzing complex data sets, developing predictive models, and providing actionable insights that drive business decisions. You will leverage your expertise in statistical analysis and machine learning to help us enhance our products and services.Your contributions will directly impact our strategic initiatives and improve overall operational efficiency. If you are passionate about data and eager to make a difference, we invite you to apply and become part of our innovative team!

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 Cambridge Mobile Telematics (CMT), the leading telematics service provider globally, committed to enhancing road safety. Our innovative, AI-driven platform, DriveWell Fusion®, integrates sensor data from millions of IoT devices, such as smartphones and connected vehicles, to deliver a comprehensive understanding of driver and vehicle behavior. Our insights empower auto insurers, automakers, commercial mobility firms, and public sector organizations to enhance risk assessment, safety measures, claims processes, and driver improvement initiatives. With our headquarters in Cambridge, MA, and offices around the world, including Budapest, Chennai, Seattle, Tokyo, and Zagreb, we are dedicated to protecting and improving the driving experience for millions globally.As a Principal Data Scientist on our Customer Analytics team, you will take on a pivotal role as a senior individual contributor and technical leader. Your expertise will guide the development and implementation of customer-centric analytics and data science solutions, emphasizing scientific rigor, scalability, and measurable business outcomes.Collaboration is key—partner with Customer Solutions, Data Engineering, and Customer Success to transform complex business challenges into production-ready analytics, machine learning, and AI capabilities that enhance product performance and client value.CMT seeks a collaborative, customer-focused, and innovative Principal Data Scientist in Customer Analytics who shares our mission to improve road safety and driver performance!

Company Overview: PhaseV, headquartered in Boston with research and development in Tel Aviv, is an innovative startup revolutionizing the drug development landscape. Our mission is to enhance the efficiency and precision of bringing new treatments to patients. By harnessing advanced causal inference techniques and pushing the limits of machine learning, PhaseV uncovers hidden signals in clinical data to provide actionable insights for optimal trial planning. Our proprietary machine learning-driven platform for adaptive clinical trial design and execution allows sponsors to swiftly capitalize on the advantages of adaptive trials, ensuring the best design meets their objectives and leads to more efficient, precise, and successful clinical outcomes. We proudly collaborate with seven of the leading pharmaceutical companies, alongside various CROs and biotechs, positioning us to significantly impact drug development and market entry. Position Overview: We are on the lookout for a skilled Senior Data Scientist to enhance our research team. The ideal candidate will possess a solid understanding of machine learning and statistics, with a keen interest in causal inference. For context on our recent challenges, please review our latest preprints: Causal Responder Detection Robust CATE Estimation Using Novel Ensemble Methods Key Responsibilities: Technical Development: Implement and optimize machine learning algorithms with a focus on causal ML applications in clinical trials. Collaborate with senior data scientists to develop and enhance our analytical platforms. Engage with clinical and biological experts to convert complex problems into technical solutions. Research & Analysis: Perform rigorous statistical analyses on both randomized and observational datasets. Develop and validate methodologies for responder identification and treatment effect estimation. Document and communicate methodologies and results to internal and external stakeholders. Collaboration: Work cross-functionally with engineering and product teams. Contribute to technical discussions and participate in peer code reviews. Assist in preparing technical documentation and research publications.

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.