Research Scientist in Protocol Learning

Pluralis Research is pioneering advancements in Protocol Learning, focusing on training sophisticated models in a completely decentralized manner using small consumer-grade devices interconnected via the internet. Despite initial skepticism regarding its feasibility, our team has achieved remarkable progress, including the successful training of an 8B llama model from the ground up with devices located in diverse geographical areas. While we have addressed many core research challenges, the journey into Protocol Learning reveals a plethora of new opportunities for innovation. If you are passionate about influencing the trajectory of open innovation in the realm of large models, we invite you to be a part of our team.

Pluralis Research is at the forefront of Protocol Learning — a revolutionary decentralized method for training and deploying AI models, empowering individuals instead of just well-funded corporations. By aggregating computational resources from numerous contributors, incentivizing their participation, and ensuring that no single entity can monopolize the full model weights, we are forging a truly open and collaborative pathway to advanced AI technologies.Position OverviewWe are seeking a passionate Developer Relations Lead to serve as the essential link between Pluralis's innovative research and the wider machine learning and systems community. Your role will involve distilling complex, cutting-edge research topics (such as distributed training, communication-efficient model parallelism, and fault-tolerant optimization) into clear, engaging, and accessible content for researchers, engineers, and developers.This role transcends traditional marketing; it requires a deep understanding of our research papers and architecture, enabling you to articulate these concepts effectively through various mediums such as blog posts, conference presentations, and social media interactions. You will be the voice of our technical community and the representative of Pluralis's contributions.Core ResponsibilitiesTechnical Writing: Craft insightful blog posts, social media threads, and detailed explainers that elucidate our research for ML engineers and systems researchers. Transform academic papers into compelling narratives and produce comprehensive technical walkthroughs of our training methodologies, architectural choices, and outcomes.Community Engagement: Manage our Discord and Twitter/X channels as key technical platforms. Foster direct interactions with researchers and engineers in the fields of machine learning, distributed systems, and decentralized computing. Maintain a credible presence in communities such as Hacker News, Reddit (r/MachineLearning, r/LocalLLaMA), and relevant Discord servers.Conference Representation: Act as Pluralis's ambassador at major machine learning conferences (ICLR, ICML, NeurIPS). Deliver presentations, conduct demonstrations, and build relationships with the research community in person.Contributor Support: Enhance the onboarding and communication process for GPU contributors involved in our training initiatives. Develop documentation, guides, and troubleshooting resources to facilitate this experience.Multimedia Production: Create and edit video content, including paper walkthroughs, research explainers, and contributor tutorials. Oversee the management of our YouTube channel.Partnership Collaboration: Develop co-marketing materials and coordinate announcements with ecosystem partners. Assist the team with...

About Akuna: Akuna Capital is a pioneering trading firm that emphasizes teamwork, advanced technology, and data-driven automation solutions. We excel in providing liquidity as an options market maker, committed to delivering competitive quotes for both buying and selling. To achieve this, we design and implement our own low-latency technologies, trading strategies, and mathematical models. At Akuna, we embrace a flat organizational structure where the best ideas triumph. Founded by Andrew Killion and his partners in Sydney, Akuna opened its first office in 2011 in Chicago, the heart of the derivatives industry. Today, we proudly operate additional offices in Sydney, Shanghai, Singapore, and London. Your Role as a Quantitative Researcher: We are seeking a skilled Quantitative Researcher specializing in Machine Learning to join our Quantitative Trading and Research team, comprised of mathematicians, statisticians, and technologists. This team scientifically creates trading strategies by integrating quantitative expertise with a sophisticated understanding of derivatives and financial markets. In this role, you will: Develop trading strategies utilizing statistical and machine learning algorithms. Design, conduct, and analyze experiments to deepen your understanding of derivatives and financial markets. Establish metrics for evaluating strategy execution and perform post-trade analysis. Create and implement optimization algorithms for portfolio construction. Develop quantitative models that describe market behavior. Advance current initiatives and explore new research opportunities.

Join Mable, a pioneering force in the healthtech sector, where we are dedicated to transforming the care and support landscape. Our entities, including HomeMade, Leap in!, and Mable Direct, are united by a common mission:1. To foster enduring, positive changes across the care sector, improving lives and elevating standards.2. To harness technology as a crucial enabler in our initiatives.3. To empower customers to achieve better outcomes through our services.As a Senior Data Scientist at Mable, you will utilize your advanced data science skills to enhance our customer services. Your role will involve researching, developing, and refining machine learning models and integrating generative AI solutions to optimize our customer engagement tools and processes. Collaboration with cross-functional teams will be essential as you work in a dynamic and fast-paced environment dedicated to making a tangible impact in Australia's care and support sectors.

About Ticketek Entertainment GroupAt Ticketek Entertainment Group, we are dedicated to crafting unforgettable experiences for fans globally. As a leading fan experience company, we specialize in ticketing, promoting, and delivering live events that capture the essence of real human connection. In a world filled with distractions, our mission is to enhance the joy of live experiences!Our diverse portfolio includes the Fan Experience Platform (Ticketek), which provides ticket sales and value-added services, along with event promotion through entities such as TEG Touring, TEG Sport, and TEG Experiences. Our digital arm, Ovation, focuses on transforming data into seamless, impactful experiences for our fans and partners.About the RoleWe are seeking a Senior Data Scientist who possesses advanced technical expertise and a strong theoretical foundation to spearhead the development of TEG's next generation of AI products. Collaborating closely with the Principal and Lead Data Scientists, you will serve as a bridge between pioneering research and production-ready applications. Your role will involve partnering with ML Engineers and Product teams to uphold technical excellence through CI/CD implementation, Dockerization, and comprehensive model monitoring. Your primary objective will be to enhance the technical capabilities of our team, ensuring every solution is grounded in scientific rigor and scalable engineering practices.What Your Day Will Entail:State-of-the-Art Implementation: Leverage your deep theoretical understanding to implement cutting-edge machine learning and Generative AI solutions that yield tangible business benefits.Solution Design Support: Collaborate with Principal and Lead Data Scientists to assess technical feasibility and provide insights to guide the AI roadmap.Experimentation & Measurement: Develop robust frameworks for experimentation and measurement to quantitatively evaluate model performance and its impact on business outcomes.Development and Operational Delivery: Produce high-quality production code to develop and enhance models, working alongside ML Engineers to deploy solutions on cloud platforms.Vertex AI Expertise: Design and implement comprehensive AI solutions within the Vertex AI ecosystem, utilizing Pipelines, Agent Garden, and Vertex Search.Stakeholder Engagement: Act as a trusted advisor, translating complex model behaviors and AI-driven business impacts into actionable insights that align with TEG's strategic objectives.

About Akuna Capital:Akuna Capital is a forward-thinking trading firm that thrives on collaboration and innovation. We focus on leveraging advanced technology, data-driven solutions, and automation to excel as an options market maker, providing competitive quotes for buying and selling. Our commitment to this mission drives us to design and implement proprietary low-latency technologies, trading strategies, and mathematical models. At Akuna, we nurture a flat organizational structure where the best ideas prevail.Founded in Sydney by Andrew Killion and his partners, Akuna launched its first office in 2011 in Chicago, the epicenter of the derivatives market and options trading. Today, we proudly serve clients from our offices in Sydney, Shanghai, Singapore, and London.

We are seeking an experienced and innovative Lead Data Scientist to join our dynamic team at Lendi Group, based in Sydney. In this pivotal role, you will leverage your expertise in data science to drive strategic decision-making and contribute to the development of cutting-edge products. You will collaborate with cross-functional teams to extract insights from complex data sets, building predictive models and deploying machine learning algorithms that enhance our lending solutions.

About the Opportunity We are seeking a motivated and energetic professional who is passionate about driving growth within existing accounts. As an Enterprise Account Executive, you will be responsible for developing and implementing a targeted sales strategy in a designated territory, ultimately contributing to revenue expansion. This position is based in Sydney, supporting our hybrid work model. Sales Culture at MongoDB At MongoDB, innovation is at the core of our mission — both in our technology and our approach to sales. Our sales leadership is dedicated to cultivating a high-performing sales team within the tech industry. We empower our employees to succeed, value their insights, and continuously seek to improve our strategies. As part of the Sales team, you will tap into a lucrative market and learn from some of the most accomplished sales leaders in software. Your Responsibilities Proactively identify, qualify, and close sales opportunities. Strategically engage with CTOs, Engineering/IT Leaders, and technical end-users. Foster strong, productive relationships to uncover growth opportunities. Collaborate with Solution Architects and the Professional Services and Customer Success teams to enhance customer satisfaction. Work closely with enterprise ecosystem partner sales and channel partners to optimize deal sizes. Participate in comprehensive sales enablement training, including our rigorous Sales Bootcamp and advanced training programs. What You Bring A minimum of 8 years of experience in a quota-carrying sales role within a fast-paced and competitive environment, focusing on account expansion. Proven ability to penetrate new lines of business within existing accounts and navigate complex sales processes. Demonstrated record of exceeding sales targets and achieving success. Strong ability to communicate the business value of complex enterprise technology. Expertise in cultivating business champions. Willingness to work from the office 3 days a week. A competitive drive and a strong desire for success. Previous training in Sales Methodologies (e.g., MEDDIC, SPIN, Challenger Sales) is advantageous. Familiarity with databases, development, and open source technology is a plus. Why Now is a Great Time to Join Us Be part of a dynamic team that values innovation and excellence. Contribute to a culture that encourages professional growth and development. Engage with cutting-edge technology in a thriving market.

MYOB Group Limited is hiring an Engineering Manager with a focus on Machine Learning for its Sydney office. This position leads a team responsible for designing and refining machine learning models and algorithms. Role overview The Engineering Manager will guide a group of engineers dedicated to machine learning projects. The work centers on building effective models and continuously improving algorithms to support MYOB’s goals. What you will do Provide direction and support to engineers working on machine learning initiatives Oversee the development and ongoing improvement of machine learning models and algorithms Foster a collaborative and high-performing team environment

Join Canva as a Staff Data Scientist focused on Growth, where your expertise will drive data-informed decision-making across our dynamic teams. We are seeking an analytical thinker with a passion for leveraging data to uncover insights that will enhance our user experience and propel our growth. In this role, you will collaborate with cross-functional teams to develop models and analyses that directly influence product strategy and user engagement.

MYOB seeks a Lead Principal Machine Learning Engineer to join the team in Sydney. This position plays a key role in shaping the direction of machine learning initiatives that drive the company’s data-focused objectives. The role blends technical expertise with leadership responsibilities. Key responsibilities Oversee machine learning projects from initial concept to final delivery Mentor and guide engineers and data scientists within the team Use advanced algorithms and analytics to develop solutions that enhance MYOB’s services Promote innovation by identifying new opportunities for data and machine learning across the business Location This role is based in Sydney, Australia.

Join Canva as a Machine Learning Engineer Intern for the 2026/27 academic year. In this role, you will work alongside talented professionals to enhance our machine learning capabilities and contribute to innovative projects that drive the future of design technology. This is an exciting opportunity to gain hands-on experience in a dynamic and collaborative environment.

Join our dynamic team at Colliers International as a Research Analyst in Sydney. In this role, you will analyze market trends, conduct in-depth research, and provide valuable insights to support our clients' strategic decisions. Your analytical skills will help shape the future of real estate investments and corporate strategies.

Join Canva as a Senior Research Scientist focused on Audio & Video AI, where you will leverage cutting-edge technologies to enhance our platform's multimedia capabilities. You will be at the forefront of innovation, working collaboratively with a team of talented scientists and engineers to develop AI-driven solutions that improve user experiences. Your expertise in audio and video processing will play a crucial role in shaping the future of design at Canva.

Neara develops machine learning solutions that support the energy sector by creating digital twins of electricity grids. These models help utility companies simulate weather impacts, assess structural stress, and identify risks early, leading to smarter investments and stronger energy infrastructure worldwide. The team focuses on real-world applications of AI and machine learning, tackling complex infrastructure challenges. Professionals at Neara contribute to projects ranging from data classification to scenario analysis, all with a shared commitment to creative problem-solving and innovation. Neara’s expertise lies in geospatial AI, integrating LiDAR, imagery, and large-scale spatial data to address infrastructure issues. The company’s research-driven approach relies on solid operational systems to manage complexity and foster ongoing progress. Role overview The Technical Program Manager for Machine Learning Innovations, based in Sydney, will coordinate the systems and workflows that support model development. This role bridges ML research, engineering, data operations, and computing infrastructure. Responsibilities include translating scientific objectives into clear, actionable plans and ensuring their effective execution. A central focus is unifying data, computing, and experimentation systems to build a cohesive ML development environment that advances model performance. Who will thrive in this role Comfortable engaging with researchers about model training and machine learning dynamics Skilled at improving and refining operational systems that support ML work Able to connect technical vision with practical delivery Location This position is based in Sydney.

Join our dynamic team at Canva as a Senior Machine Learning Engineer, focusing on Agent Tools Interoperability. In this pivotal role, you will design, develop, and optimize machine learning models that enhance the functionality and integration of tools within our platform. You will collaborate closely with cross-functional teams to innovate and deliver exceptional user experiences.

Join Canva as a Senior Machine Learning Engineer in our AI Enablement team, where you'll leverage advanced machine learning techniques to drive innovation and improve user experience. You will collaborate with cross-functional teams to develop cutting-edge solutions that enhance Canva’s offerings. This is a fantastic opportunity for a passionate engineer looking to make an impact in the AI space.

At Neara, we are pioneering the future of energy resilience by harnessing advanced machine learning technologies. Imagine having the capability to test an entire power grid against the fury of a hurricane before the storm even approaches. This vision is a reality we are making possible.We specialize in creating engineering-grade, physics-enabled digital twins of electricity grids across four continents, enabling asset owners to tackle their most significant challenges and implement effective solutions over vast infrastructures.Through simulations of extreme weather events and structural stress at a network-wide scale, we empower the world’s largest utilities to identify risks, optimize investments, and contribute to a more robust global energy future.Our team is a collective of innovative minds dedicated to making a real-world impact, utilizing AI and machine learning to enhance everything from data classification to intricate scenario analysis. We have cultivated a unique culture where innovation thrives, and every team member takes ownership of our mission. We seek intelligent, creative individuals to help us expand our influence across the globe.As a Senior Machine Learning Engineer, you will design and develop machine learning models that facilitate the digitization of real-world infrastructure, leveraging diverse data sources including LIDAR, imagery, and vector data. You will engage in every phase of the ML lifecycle, from data collection and quality assurance to model training and monitoring. Your role will involve deep data analysis to identify valuable problems to solve with machine learning and establishing strategies for those solutions.You will remain abreast of best practices in data management and MLOps, integrating the latest advancements in machine learning into our platform to keep it at the forefront of the industry. Additionally, you will mentor junior engineers, promoting a collaborative and innovative work environment that fosters continuous learning and growth.At Neara, we value your insights, support your professional development, and celebrate your successes. If you are driven and results-oriented, we would love to connect with you.Your Contributions Will Include:Creating methodologies to accurately generate electric networks from imperfect data using deep learning and traditional ML techniques.Developing and refining training pipelines to minimize manual effort and expedite the idea-to-evaluation process.Scaling model deployment for various problems with distinct characteristics while shortening the time to production.

As the Head of Design Research at Canva, you will lead a talented team of researchers to drive innovative design solutions and enhance user experiences. Your role will involve strategizing research initiatives, analyzing user feedback, and collaborating closely with product and design teams to inform our design processes. We are looking for a visionary leader who is passionate about understanding user needs and translating insights into actionable design strategies.

Pluralis Research is at the forefront of Protocol Learning, innovating a fully decentralized approach to training and deploying AI models. Our mission is to democratize AI, enabling individuals to participate in the development of cutting-edge technologies rather than limiting accessibility to corporate giants. By aggregating computational resources from various contributors and incentivizing participation while ensuring that no single entity controls the model's complete weights, we are forging a truly open and collaborative pathway to advanced AI capabilities.Invitation for Academic CollaborationPartnering with Researchers at the Cutting Edge of Decentralized AI. Pluralis is eager to engage with academic researchers to propel the field of Protocol Learning forward. This is not merely a job vacancy but an invitation for seasoned researchers to discuss potential joint publications and collaborative research projects centered around low-bandwidth model-parallel training and decentralized AI systems.Collaboration OpportunitiesJoint Publications: Collaborate on research papers aimed at top-tier ML conferences and journals.Research Exchanges: Exchange insights and findings in complementary research areas.Access to Unique Infrastructure: Utilize our distributed training environment for innovative experimental work.Interdisciplinary Connections: Connect ML research with disciplines such as distributed systems, economics, and protocol design.Funding Potential: Opportunities for research grants may be available for promising collaborative projects.PhD Sponsorship: We welcome sponsorship for exceptional PhD candidates.Desired QualificationsActive Researchers: Current faculty, postdoctoral researchers, or PhD candidates with active publications in relevant fields.Relevant Expertise: Background in distributed machine learning, model parallelism, federated learning, or related domains.Publication Record: Proven history of publishing in peer-reviewed venues.Collaborative Attitude: A genuine interest in the open exchange of ideas and collaborative problem-solving.Mission Alignment: Passion for democratizing access to advanced AI technologies.How to Apply...