Learning Management System Training Consultant

Harvard University seeks a Learning Designer to help create engaging learning experiences on campus in Cambridge. This position centers on supporting faculty and staff in shaping instructional materials and courses that encourage student participation and improve learning results. Role overview The Learning Designer works closely with academic teams to design, implement, and assess educational content. The aim is to foster innovative approaches that make courses more interactive and effective for students. Collaboration Expect regular collaboration with both faculty and staff. Together, you will identify instructional needs, develop course materials, and refine learning experiences based on feedback and evaluation. Focus areas Designing and updating instructional materials Implementing new course structures and activities Evaluating course effectiveness to support student learning

Senior Designer, Visual Interaction Design Position Overview: IDEO is seeking a passionate Visual Interaction Designer to join our Cambridge Studio. This role is ideal for individuals who are dedicated to creating thoughtful and elegant user experiences while showcasing strong visual design skills in the interactions people have with intricate systems, software, and services. As a Visual Interaction Designer at IDEO, you will play a key role in shaping the aesthetics, functionality, and behavior of user experiences. You will transform human-centered insights into engaging interactions and interfaces that are not only functional but also visually striking and meaningful. Your work will involve balancing visual excellence with usability, bringing a unique visual voice to each design challenge, and collaborating with a diverse team of multidisciplinary experts. This position is a fantastic opportunity for designers who are self-directed, eager to tackle complex challenges, and committed to continually honing their craft. Key Responsibilities: Contribute to a varied portfolio of projects across numerous industries, encompassing data, experience, interaction, digital product, and service design. Engage in all phases of a project, from research synthesis and concept development to prototyping, refinement, and production-ready execution. Transform human-centered insights into interaction models, visual systems, and polished digital interfaces. Create both “looks-like” and “works-like” prototypes to explore ideas, test assumptions, and communicate concepts effectively to teammates and stakeholders. Collaborate closely with designers from various backgrounds, including design research, business design, industrial design, and communication design, to develop cohesive and holistic user experiences. Design across diverse mediums and contexts such as mobile applications, websites, digital/physical systems, AR/VR, and voice interfaces, always guided by user needs and context. Advocate for high-quality visual and interaction design, fostering a culture of strong craftsmanship, curiosity, and experimentation. Qualifications: A background in visual, interaction, or graphic design related to digital products or experiences is essential. A robust portfolio that showcases visual excellence, thoughtful interaction design, and a clear perspective on typography, color, layout, and motion. Comfortable working at various fidelity levels, from rough explorations to refined, production-ready designs. Experience in producing both low and high fidelity prototypes. Proficiency in contemporary design and prototyping tools (e.g., Figma, Adobe Creative Suite).

Are you passionate about advancing the field of machine learning? Join our team at Altos Labs as a Machine Learning Scientist or Senior Machine Learning Scientist. In this role, you will leverage your expertise to drive innovation and development in cutting-edge research projects. Collaborate with a multidisciplinary team to push the boundaries of machine learning technology.

Collaboration Fuels Innovation. Join Roku in Transforming TelevisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku aims to power every television globally. We pioneered the streaming revolution, and our mission is to connect the entire TV ecosystem. We empower viewers with access to their favorite content, assist content creators in reaching vast audiences, and offer advertisers unparalleled engagement tools.From day one at Roku, your contributions will be recognized and valued. In our rapidly growing public company, you won’t just observe; you will play a vital role in enhancing the experience for millions of TV streamers across the globe while gaining invaluable experience across various fields. About the TeamThe Advanced Development team at Roku is at the forefront of innovation, creating the next generation of intelligent and generative media systems. We explore concepts that are years ahead of production, crafting foundational technologies that will redefine content understanding, creation, and personalization across millions of Roku devices.This unique environment is comprised of a PhD-level, interdisciplinary team that merges machine learning research, software engineering, and DevOps. Our experts possess not only deep technical knowledge but also a broad creative vision, challenging the status quo, embracing uncertainty, and building unprecedented solutions. Our culture is collaborative, low-ego, and driven by ownership, trust, and curiosity.We seek an Applied Scientist with a robust foundation in mathematics, machine learning, and computer science, complemented by experience in cloud engineering, DevOps, and computer vision — someone who excels at the intersection of research and production.

Harvard University is seeking a dynamic and experienced professional to serve as the Senior Associate Dean of Professional and Lifelong Learning. This pivotal role involves leading the strategic initiatives of our Executive Education department, fostering innovative learning experiences for professionals across various industries.The ideal candidate will bring a proven track record in higher education administration, a passion for continuous learning, and the ability to develop and implement impactful educational programs that cater to the evolving needs of learners.

Your Contribution at Lila Sciences As a Robotics Scientist at Lila Sciences, you will spearhead the research and innovation of autonomous robotic systems that form the intelligent physical backbone of our cutting-edge scientific superintelligence platform. You will be instrumental in developing groundbreaking algorithms and deploying advanced robotic solutions that engage seamlessly with human scientists and intricate laboratory settings. Your efforts will propel our mission forward by establishing fully autonomous workflows for scientific exploration, merging state-of-the-art robotics, machine learning, and systems engineering. Projects You Will Undertake Innovating advanced methodologies for precise and dexterous robotic manipulation that utilize foundation models, reinforcement learning, diffusion-based techniques, and human input, enabling adaptable and intelligent robotic systems capable of executing complex tasks in a variety of scientific environments. Creating novel frameworks for human-robot interaction that integrate imitation learning and learning from human feedback, demonstrations, and corrections, fostering intelligent robotic agents that can smoothly blend into human scientific workflows and swiftly adapt to new experimental scenarios. Enhancing dexterous manipulation research through avant-garde machine learning techniques, including diffusion models and adaptive learning algorithms, synthesizing multi-modal sensing (tactile, visual, and linguistic) to develop generative skill representations and sophisticated motor learning policies for intelligent robotic systems. Designing autonomous robotic systems equipped with trust calibration mechanisms, allowing intelligent agents to dynamically modify their behaviors based on contextual information in challenging scientific tasks.

Join the Team at GraphcoreAt Graphcore, we are at the forefront of revolutionizing AI computation. Our team of experts in semiconductors, software, and artificial intelligence is committed to developing an advanced AI compute stack that encompasses everything from silicon to datacenter infrastructure.As a proud member of the SoftBank Group, we are supported by significant long-term investment, enabling us to drive crucial technology within the rapidly expanding SoftBank AI ecosystem.To address the immense opportunities within the AI landscape, we are seeking to expand our teams globally. We welcome the brightest minds to tackle the most challenging problems, ensuring that every team member has an opportunity to influence our company, our products, and the future of AI.

Innovate and Create Models from Scratch! At Flagship Pioneering, we are dedicated to launching pioneering companies that challenge the status quo. Within our Flagship Labs, small, agile teams develop new technical theses, rigorously test them, and build ventures around groundbreaking concepts. We are assembling an exceptional machine learning team within our newly established venture, Flagship Labs 120. Our focus is on uncovering hidden structures from complex measurement data of intricate physical systems, often necessitating mechanism-informed modeling, carefully designed inductive biases, and principled methodologies for inverse problems. This is a pioneering role dedicated to innovative modeling, moving beyond standard optimization tasks. You will have the opportunity to design, prototype, test, and refine novel approaches that establish the technical foundation of our platform starting from day one.

Together, we shape the streaming experience. Roku is redefining television viewing.As the leading TV streaming platform across the U.S., Canada, and Mexico, Roku aims to revolutionize how everyone engages with content on their screens. Our groundbreaking approach to streaming connects viewers to their favorite shows while empowering content creators to thrive and advertisers to connect with audiences effectively.Your journey with Roku starts on day one, where your contributions will be impactful and appreciated. Join a fast-paced public company where every team member plays a vital role. Together, we will enhance the viewing experience for millions of streamers worldwide while you gain invaluable expertise across diverse fields. Join our dedicated teamOur User Experience team thrives on collaboration, blending the talents of UX designers, researchers, and writers with our exceptional Product and Engineering teams to craft experiences that prioritize simplicity and delight. Role OverviewWe are in search of a talented UX Product Designer specialized in mobile interaction design to spearhead the development of pivotal Mobile streaming experiences. This role will be focused primarily on mobile streaming functionalities and workflows, including subscription and account management. Our recruitment process is straightforward: it begins with a conversation with your dedicated Roku recruiter, followed by a discussion with the Hiring Manager (UX Design Manager). You will then present your portfolio in a 35-minute session to a cross-functional panel of designers, researchers, and product managers, showcasing your project work.

Are you a talented Mechanical Design Engineer looking to make a significant impact in the field of Cellular Origins? Join our dynamic team at ttp1, where innovation meets collaboration. In this role, you will leverage your engineering expertise to design cutting-edge mechanical systems that enhance our product offerings and drive our mission forward.

ABOUT PIONEERING INTELLIGENCE Pioneering Intelligence is a forward-thinking initiative that builds upon Flagship Pioneering's rich history of establishing groundbreaking scientific and computational enterprises. By leveraging cutting-edge advancements in artificial intelligence, machine learning, and data science, we aim to accelerate fundamental research and cultivate a dynamic portfolio of AI-first companies. As an integral part of Flagship's unique model that intertwines science, entrepreneurship, and investment, we transform revolutionary concepts into impactful companies, enhancing AI innovations that contribute to human health, sustainability, and more. THE ROLE We are on the lookout for a Principal Scientist specializing in Embedded Machine Learning and Computational Methods to spearhead various AI/ML and computational initiatives across early-stage ventures within our company origination framework. Your responsibilities will include defining and executing practical AI strategies, overseeing the development of methodologies and platforms (including systems design, drug design, molecular modeling, systems biology, protein design, and LLM-based workflows), and ensuring a high standard of rigor in model development, benchmarking, scaling, and reporting. You will also manage cross-functional teams as necessary, influence the strategic direction of our initiatives, and represent Pioneering Intelligence to venture teams and external collaborators. The ideal candidate is a self-motivated individual with a diverse skill set, capable of transitioning seamlessly from protein design to mass spectrometry or docking pipelines, and then creating LLM-based agents to streamline scientific workflows.

Your Impact at Lila As a Machine Learning Engineer on the Physical Sciences team, you will play a pivotal role in developing and managing comprehensive, scalable machine learning workflows. These workflows will address a wide range of scientific challenges in materials science, chemistry, and physical sciences. Your contributions will be instrumental in advancing research initiatives focused on cutting-edge algorithms, driving towards the establishment of scientific superintelligence to tackle today’s most significant challenges in physical sciences. What You Will Build Design, implement, and sustain end-to-end ML pipelines, encompassing data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Productionize models and services while ensuring robust testing, observability, and documentation in collaboration with cross-functional software teams; develop CI/CD workflows and automated evaluations to facilitate safe and frequent releases. Work closely with domain scientists and platform engineers to translate research insights into high-performing, scalable systems. Participate in technical design reviews, establish coding standards, and mentor colleagues on best practices. What You’ll Need to Succeed BS, MS, or PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience. A solid foundation in Python software engineering, including testing, packaging, and typing; experience with machine learning frameworks such as PyTorch and Hugging Face. Experience deploying ML services in cloud-based environments (FastAPI/GRPC, containers, orchestration, cloud infrastructure). Hands-on experience with deploying models in production systems (LLMs, multimodal models, databases, RAG) along with strong debugging and profiling skills. Effective communication and collaboration in cross-functional settings. Bonus Points For Familiarity with scientific or engineering domains (materials, chemistry, physics) and related data formats/benchmarks. Experience in GPU optimization (CUDA, Triton, compilation, distributed training). Previous contributions to open-source ML or scientific software. Experience with workflow orchestration, data provenance, or large-scale computing environments. About Lila Lila Sciences stands as the pioneering platform for scientific superintelligence, offering an autonomous laboratory dedicated to life sciences, chemistry, and materials science. We are at the forefront of a new era of limitless discovery, harnessing AI to revolutionize research and innovation in these fields.

Role overview Harvard Art Museums is looking for a Creative Exhibition Designer to play a key part in shaping exhibitions in Cambridge. This position works alongside curators and other colleagues to create engaging display concepts that encourage exploration and align with the museum’s educational mission. What you will do Design exhibition layouts, guiding projects from the first concept through to installation Choose materials and finishes that enhance both the artwork and the visitor experience Work closely with curators, educators, and other stakeholders at every stage of the design process Make sure each exhibit supports the museum’s educational standards and goals Requirements Artistic vision and hands-on experience in exhibition design Ability to manage projects, juggle deadlines, and set priorities Attention to detail in both creative choices and technical execution

Harvard University Press is hiring a Senior Book Jacket Designer based in Cambridge. This position plays a central role in shaping the visual presentation of the Press’s publications, focusing on book cover design that resonates with readers and captures the essence of each title. Role overview The Senior Book Jacket Designer works closely with authors, editors, and marketing staff to develop covers that reflect the unique character of every book. Creative thinking and a strong sense of visual storytelling are essential in this role. What you will do Develop and present design concepts for book jackets Select typography and imagery that align with each book’s tone and subject matter Create layouts that highlight the main themes of the work Collaborate with authors, editors, and marketing teams throughout each stage of the design process

Collaboration Drives Innovation. Join Roku in Transforming Television ViewingRoku stands as the premier TV streaming platform across the U.S., Canada, and Mexico, aiming to revolutionize how people experience television on a global scale. As pioneers in TV streaming, our mission is to create a platform that connects the entire television ecosystem. We bridge the gap between consumers and their favorite content, empower content creators to reach and monetize vast audiences, and equip advertisers with unique tools to engage effectively with viewers.At Roku, your contributions are vital from day one. As a rapidly expanding public company, we value proactive engagement from all employees. This is your chance to create delightful experiences for millions of TV streamers worldwide while gaining invaluable experience across diverse disciplines. About the TeamWith over 70 million active accounts, Roku leads the way in the TV streaming industry across North America. Our commitment to machine learning and innovative recommendation systems is central to our ongoing success. We enable users to access an extensive library of content, including movies, series, news, sports, music, and channels from around the globe. Role OverviewIn this role, you will deepen our understanding of queries, content, and user behavior through machine learning. Your work will be pivotal in enhancing user satisfaction throughout their search journey. Tackling these challenges is at the heart of our mission to improve customer experience.

ABOUT PIONEERING INTELLIGENCEPioneering Intelligence extends Flagship Pioneering's tradition of launching innovative scientific and computational initiatives. By leveraging the latest advancements in AI, machine learning, and data analytics, we aim to expedite fundamental research and build a diverse portfolio of AI-first companies. As a key player in Flagship's integrated approach to science, entrepreneurship, and investment, we transform groundbreaking concepts into transformative enterprises that enhance AI innovations in human health, sustainability, and more.THE ROLEWe are on the lookout for a Principal Scientist specializing in Embedded Machine Learning and Computational Techniques to spearhead various AI/ML and computational initiatives across early-stage ventures in our company origination process. You will be responsible for defining and executing practical AI strategies, overseeing the development of methodologies and platforms such as systems design, drug design, molecular modeling, systems biology, protein design, and LLM-driven workflows while ensuring the utmost rigor in model development, benchmarking, scaling, and reporting. You will manage cross-functional contributors as necessary, influence the strategic direction of the company, and represent Pioneering Intelligence to venture teams and external partners. The ideal candidate is a proactive, deep thinker who can seamlessly transition between protein design one week and mass spectrometry or docking pipelines the next, while also developing LLM-based agents to automate scientific workflows.

Location: Cambridge, MA (Eastern Time / UTC -4). Relocation support is available. Remote work may be considered for candidates based outside Massachusetts.Start date: ASAPLanguages: English (required) Pragmatike is an AI startup founded by MIT CSAIL researchers, recognized by GTM Capital as a Top 10 GenAI company. The team develops advanced AI systems with a focus on real-world applications. Role overview The Principal Machine Learning Operations Engineer shapes the architecture and scaling of Pragmatike’s machine learning infrastructure. This senior position leads the design, implementation, and optimization of production AI systems, overseeing the full lifecycle from model training and evaluation to deployment, monitoring, and ongoing improvement. Collaboration is central in this role. The Principal ML Ops Engineer works closely with AI researchers, GPU systems engineers, backend developers, and product teams. The main focus is building reliable, efficient, and automated ML platforms to support large-scale AI deployments. Key responsibilities Architect, build, and improve the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring. Design and maintain infrastructure for model deployment, version control, reproducibility, and orchestration across both cloud and on-premises GPU clusters. Optimize distributed systems for computational efficiency, covering Kubernetes, autoscaling, caching, GPU allocation, and checkpointing workflows. Establish observability for ML systems by monitoring model drift, performance, throughput, reliability, and operational costs. Automate workflows for dataset curation, labeling, feature engineering, evaluation, and CI/CD for ML models. Collaborate with researchers to bring models into production and improve training and inference pipelines. Set internal ML Ops standards, best practices, and develop tools that support cross-team collaboration. Mentor engineers and provide architectural guidance across the AI platform. Requirements Extensive hands-on experience designing and operating production ML systems at scale, ideally at the Staff or Principal level. Deep knowledge of ML Ops, distributed systems, and cloud infrastructure.

We are seeking a creative and detail-oriented Design & Onboarding Associate to join our dynamic team at Telefonica Tech in Cambridge. In this role, you will play a crucial part in enhancing user experiences and facilitating seamless onboarding processes for our clients. Your contributions will directly impact customer satisfaction and retention.The ideal candidate will have a strong eye for design and a passion for providing exceptional support to new users. If you thrive in a collaborative environment and are eager to help shape the future of our services, we would love to hear from you!

Collaboration Fuels Innovation. Join Roku - Revolutionizing TV ViewingAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to empower every television worldwide. Pioneering the streaming experience, we connect viewers to their favorite content, support publishers in audience growth and monetization, and provide advertisers with exceptional tools for consumer engagement.From day one at Roku, your contributions will be valued. We are a rapidly expanding public company where every team member plays an essential role. This is your chance to impact millions of TV streamers globally while gaining significant experience across diverse disciplines. About Our TeamThe Advertising Performance team is dedicated to optimizing the performance of all participants in the advertising ecosystem, including advertisers, publishers, and Roku itself. Our systems and solutions leverage various disciplines and technologies for real-time, multi-objective optimization on a large scale with minimal latency. Utilizing Machine Learning, Reinforcement Learning, AI, and Optimization Systems, we tackle a wide array of complex challenges. Central to our efforts is our Machine Learning, Experimentation, and Inference Platform that supports the entire operational landscape.