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Experience Level
Entry Level
Qualifications
- Strong analytical and problem-solving skills- Proficiency in programming languages relevant to AI and machine learning- Familiarity with telemetry and production infrastructure- Ability to work collaboratively in a fast-paced environment- Eagerness to learn and adapt to new challenges
About the job
At Maincode, our mission is clear: to develop and deliver Matilda, Australia's pioneering conversational AI platform, with a focus on collaboration and innovation. We prioritize our team and the impactful work we do together.
Matilda stands as the first fully Australian conversational AI platform, representing a significant technical challenge that we are tackling with a dedicated team that values speed and seriousness in our work.
We seek intelligent, humble individuals who are eager to contribute to something meaningful, regardless of how they do so. Whether diving into research literature or mastering the construction of telemetry systems for scalable production infrastructure, your journey with us will be diverse and fulfilling.
We value skill and character over traditional qualifications. Many of our top performers come from unexpected backgrounds, holding advanced degrees in adjacent fields or possessing uncommon combinations of experience. What they share is excellence, a capacity for rapid learning, and a commitment to teamwork.
If you're looking for a highly detailed job specification, this may not be the right fit. If you find relief in the ambiguity and are excited by the prospect of diving into this challenge, we want to hear from you.
About Maincode
Maincode is committed to creating impactful technology solutions. Our focus on Matilda reflects our dedication to innovation and excellence in the field of conversational AI, driven by a passionate and skilled team.
Pluralis Research is at the forefront of Protocol Learning—an innovative and decentralized approach to training and deploying AI models, empowering individuals rather than just the well-resourced corporations. By aggregating computing resources from numerous contributors, incentivizing participation, and ensuring no single entity controls the entirety of a m…
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, pioneering the training of large models in a fully decentralized manner on consumer-grade devices linked through the internet. What was once deemed impractical has been transformed into reality; we have achieved remarkable milestones, including the successful training of an 8B llama model from scratch using devices located in geographically diverse areas. Although many fundamental research challenges have been addressed, Protocol Learning presents a host of new opportunities for innovation. If you are eager to contribute to the evolution of open innovation within the realm of large models, we invite you to join our dynamic team.Key ResponsibilitiesPublish in Top-Tier Venues: Engage with complex research challenges central to Protocol Learning. Your solutions could lead to foundational papers—solve these issues and share your findings with the world.What We're Looking ForResearch Excellence: A PhD in Machine Learning complemented by publications in leading conferences (NeurIPS, ICML, ICLR).Distributed ML Experience: Familiarity with distributed training techniques or federated learning.Implementation Skills: Proficient in programming with PyTorch, with hands-on experience in training models across multiple devices.Bonus: Previous experience with large language models, post-training techniques, or reinforcement learning.Compensation & BenefitsEquity-Heavy Package: We offer substantial equity for key technical contributors alongside a competitive base salary.Visa Sponsorship: Optional full visa sponsorship and relocation assistance available for positions in the US or Australia.Remote-First Culture: Enjoy a flexible working environment with team members located globally.Cutting-Edge Domain: Be part of an innovative intersection between AI and distributed systems, tackling some of the most complex research challenges in the field.Additional InformationWe exclusively hire within Australia and the United States. Visa sponsorship is limited to these regions.Applicants are required to have a professional level of English proficiency.
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.
Contract|A$35/hr - A$35/hr|Remote|Remote — Queensland, Australia
Please submit your CV in English and indicate your level of English proficiency.Mindrift specializes in connecting experts with project-based AI tasks for leading tech firms, focused on the testing, evaluation, and enhancement of AI systems. This is a project-based engagement, not permanent employment.What You Will ContributeEach project comes with its own distinctive tasks, including but not limited to:Crafting original computational physics problems that replicate authentic physics research workflows;Developing problems that require Python programming for solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring the problems are computationally demanding and cannot be solved manually within practical time constraints (days/weeks);Formulating problems that necessitate complex reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real research challenges or practical applications derived from physics;Validating solutions using Python with established physics simulation libraries;Clearly documenting problem statements and providing verified correct solutions.Ideal Candidate ProfileThis role is perfect for quantum researchers proficient in Python who are open to part-time, non-permanent project work. Ideally, you will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming languages is acceptable;2+ years of professional experience in applied, research, or teaching settings;Experience with numerical simulation methodologies;The capacity to design problems that reflect real physics research workflows;Innovative thinking in problem design across various fields of physics;Familiarity with physics modeling and approximation techniques;Strong written English skills (C1+ level).How to Get InvolvedApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject Time CommitmentFor this project, tasks are anticipated to demand approximately 10–20 hours per week during active phases, depending on the project requirements. This estimate is not a guaranteed workload and applies only while the project is ongoing.CompensationContributors can earn up to $35 per hour, contingent on their level and pace of contribution. Compensation may differ across projects based on their scope, complexity, and required expertise. Please note that other projects on the platform may offer varying earning levels based on their specific requirements.
About the RoleMaincode is at the forefront of AI innovation, creating foundational models built from the ground up on Australian infrastructure. We specialize in designing architectures, managing our own computing resources, optimizing training processes, and deploying robust systems that power our models.We are proud to have developed Matilda, the first large language model entirely built and trained in Australia. Our new compute cluster is operational, and we're excited to scale the next iteration of Matilda, making it accessible for public use.We invite passionate AI researchers to join us in refining the core architecture, training, and evaluation of the large-scale language models that drive Matilda's capabilities.This position emphasizes substantial contributions over incremental benchmarks. You will collaborate closely with engineers who manage large-scale training systems, focusing on designing models that learn efficiently and perform reliably in real-world applications.Your ResponsibilitiesAs part of our team, you will engage throughout the model development cycle, addressing research questions, conducting training runs, and performing evaluations. Your key tasks will include:Designing and testing architectural modifications and training methodologies for large language models.Executing controlled experiments at scale to isolate causal impacts.Investigating failure modes related to reasoning, generalization, robustness, and representation.Defining objectives, data mixes, and optimization strategies that significantly affect model behavior.Creating and enhancing evaluations that measure capabilities and reliability, beyond mere numerical scores.Analyzing training dynamics through logs, metrics, and model outputs.Partnering with machine learning systems engineers on distributed training and operational tasks.Documenting insights and experimental outcomes in clear internal notes to inform design decisions.You will spend a considerable amount of time developing code, running training sessions, analyzing logs, and evaluating outputs to ensure clarity on what enhances the model's performance and the rationale behind it.QualificationsWe value deep analytical reasoning, disciplined experimentation, and the capability to navigate ambiguity effectively. Ideal candidates will possess:Hands-on experience in developing and executing production-level machine learning or research code.Proficiency in Python, with experience in frameworks such as PyTorch or JAX.A strong foundation in transformer architectures and large-scale language models.Familiarity with distributed computing environments and data processing techniques.Excellent problem-solving skills and the ability to work collaboratively within a team.
Join our innovative team as a Senior Research Scientist specializing in Machine Learning. We are searching for a skilled researcher with deep expertise in Code-oriented LLMs, Agentic Systems, Reinforcement Learning, and Reasoning Models. The perfect candidate will have a proven history of publishing groundbreaking research in top-tier conferences and journals such as NeurIPS, ICML, ICLR, and ACL. This role is based in Sydney, offering a hybrid working model that combines the flexibility of remote work with in-office collaboration.
About MaincodeAt Maincode, we are pioneering advancements in artificial intelligence through innovative research. Our team is dedicated to developing foundational models from the ground up, creating novel reasoning architectures, and deploying them on cutting-edge GPU clusters. Notably, we have engineered Matilda, Australia’s first large language model (LLM). Our mission is not to fine-tune existing frameworks; rather, we strive to build transformative systems based on fundamental principles.Our primary research focuses on the evolution of foundational models and innovative architectures that enable reasoning, alignment, and generalization. The Maincode Research Residency offers an opportunity for researchers to delve into experimental and complementary areas of AI, including:Non-standard language model architectures and methodologiesMulti-modal systems, such as vision-language modelsComplex multi-agent system dynamicsReinforcement learning for reasoning and planningOptimization of inference and distributed training infrastructuresTechniques for alignment and interpretabilityIf you possess a deep curiosity, a passion for scientific inquiry, and a desire to contribute to groundbreaking research at a lab committed to building models from first principles, Maincode is the perfect environment for you.The Role: AI Research ResidentThe Maincode Research Residency is a paid program lasting 3 to 6 months, designed for advanced AI researchers in Australia. As a resident, you will collaborate with our core team of researchers, whether on-site, hybrid, or remotely with occasional on-site visits, to investigate your proposed research project.Maincode provides the necessary infrastructure and computational resources for you to explore your research ideas at scale. You will work closely with our researchers throughout the entire process, from refining your proposal and designing experiments to interpreting results and sharing findings.This residency allows you to pursue exploratory, high-impact research that aligns with Maincode’s core mission. We encourage projects that challenge the frontiers of fundamental or applied AI and shape the future landscape of AI systems.This announcement marks the second round of our AI Research Residency program. The successes from the initial round included a hire to our core team and publications in diverse areas like:Vision-language reasoning, focusing on how multi-modal models integrate logical inference with perceptual grounding
Part-time|A$35/hr - A$35/hr|Remote|Remote — Queensland, Australia
Please submit your CV in English and indicate your level of English proficiency. Toloka AI, through Mindrift, is looking for freelance Research Physicists and AI Trainers for remote, project-based assignments in Queensland, Australia. Contributors support top technology companies by testing, evaluating, and improving AI systems. This arrangement is not permanent employment; participation is linked to specific projects as they arise. Role overview This contract role centers on developing original optics problems that reflect real-world physics research. Assignments often involve designing scenarios that require significant computational resources, making manual solutions impractical. Work spans advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics, with each challenge based on authentic research issues or practical applications. Clear documentation and accurate solutions are expected for every problem created. Responsibilities Create original optics problems modeled after actual research workflows Design challenges requiring extensive computation, beyond manual solving Develop scenarios in mechanics, electromagnetism, thermodynamics, and quantum mechanics Ground problems in real research or practical physics applications Document problems and provide thoroughly verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field At least 2 years of experience in applied physics, research, or teaching Familiarity with numerical simulation techniques Ability to design problems that reflect real research processes Creative problem-solving skills across various physics domains Experience with physics modeling and approximation Strong written English skills at C1 level or higher Project details During active project periods, tasks generally require 10–20 hours per week. Actual workload depends on project needs and is not guaranteed. Commitment is expected only while assigned to a current project. Compensation Contributors may earn up to $35 per hour, with rates varying by project based on scope, complexity, and required expertise. Other projects on the platform may offer different compensation depending on their requirements. Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation
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...
Contract|A$35/hr - A$35/hr|Remote|Remote — Queensland, Australia
Please submit your CV in English and indicate your level of English proficiency. Mindrift partners with skilled professionals for project-based AI work serving leading technology companies. This freelance contract centers on evaluating and improving AI systems within engineering environments. The position is contract-only and does not transition to permanent employment. Role overview This freelance Material Scientist with Python expertise will design original materials that reflect real-world engineering processes and challenges. Assignments focus on engineering scenarios, research questions, and practical problem-solving using computational tools. What you will do Create problems that require Python programming for engineering calculations or simulations. Develop computationally intensive challenges using numerical methods or iterative solutions. Formulate tasks involving system design, optimization, and analysis. Ensure assignments are grounded in genuine research or practical engineering situations. Validate solutions using Python and standard engineering libraries. Write clear, precise problem statements and provide accurate, verified solutions. Requirements Background as a material scientist or engineer with strong Python skills. Degree in Material Science or a related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued. Minimum of 2 years of professional experience in industry, research, or teaching. Solid understanding of practical engineering constraints and approximations. Excellent written English at C1 level or above. How to join Apply Meet the qualifications Join a project Complete assigned tasks Receive compensation Project commitment During active project phases, expect to spend 10-20 hours per week on assigned tasks. Workload may vary and is not guaranteed outside of active project periods. Compensation Earn up to $35 per hour, depending on contribution and pace. Actual rates may differ by project, based on complexity, scope, and expertise required. Other projects on the platform may offer different compensation structures.
Contract|A$55/hr - A$55/hr|Remote|Remote — Queensland, Australia
We invite you to submit your CV in English and specify your level of English proficiency.At Mindrift, we specialize in connecting skilled professionals with project-based AI opportunities from top technology companies, emphasizing the testing, evaluation, and enhancement of AI systems. This role involves project-specific engagement, rather than permanent employment.Role Overview:Each project presents distinct tasks, where contributors may be responsible for:Crafting original computational data science challenges that replicate real-world analytical workflows across various sectors such as telecom, finance, government, e-commerce, and healthcare.Formulating problems that necessitate Python coding to resolve, utilizing libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensuring that these problems are computationally demanding, requiring extensive processing time that cannot be resolved manually within practical timeframes.Developing scenarios that involve complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Designing deterministic problems with reproducible solutions, avoiding stochastic components or ensuring fixed random seeds for exact replication.Creating challenges based on genuine business problems, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and enhancing operational efficiency.Structuring end-to-end problems that cover the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).Integrating big data processing situations that demand scalable computational methods.Validating solutions using Python alongside standard data science libraries and statistical techniques.Clearly documenting problem statements with realistic business contexts and providing verified correct answers.Who We Are Looking For:This opportunity aligns well with Data Science experts experienced in Python who are available for part-time, non-permanent projects. Ideally, candidates will possess:A minimum of 5 years of hands-on experience in data science with demonstrated business impact.A portfolio of completed projects and publications that highlight real-world problem-solving capabilities.Proficient Python programming skills for data science (pandas, numpy, scipy, scikit-learn, statsmodels).A deep understanding of statistical analysis and machine learning, including algorithms, methodologies, and practical applications.Expertise in SQL and database management for data manipulation and analysis.Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).Familiarity with MLOps practices and model deployment workflows.Knowledge of contemporary frameworks (TensorFlow, PyTorch, LangChain).Strong written English skills (C1 or higher).Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Get paid
Part-time|A$35/hr - A$35/hr|Remote|Remote — Queensland, Australia
We kindly ask you to submit your CV in English and specify your proficiency level in the language.Mindrift specializes in connecting experts with project-based AI opportunities in collaboration with leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based, not a permanent role.What You Will DoEach project presents its own set of tasks, which may include:Creating original optics problems that replicate real-world physics research processes;Ensuring that problems are computationally intensive and cannot be resolved manually in a reasonable time frame (days/weeks);Formulating problems that necessitate complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research challenges or practical applications derived from optics and physics;Providing clear documentation of problem statements along with verified correct answers.What We SeekThis role is best suited for physicists interested in part-time, non-permanent projects. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience with numerical simulation methodologies;The ability to create problems that reflect genuine physics research processes;Innovative thinking in problem design across various physics domains;A strong familiarity with physics modeling and approximation techniques;Proficiency in written English (C1+ level).How It WorksApply → Pass qualifications → Join a project → Complete tasks → Receive compensation.Project Time CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.CompensationProject participants can earn up to $35 per hour, contingent upon their level of contribution and pace. Compensation varies across projects based on their scope, complexity, and expertise required. Please note that other projects may present different earning potentials based on their specifications.
Contract|A$55/hr - A$55/hr|Remote|Remote — Queensland, Australia
Please submit your CV in English and include a self-assessment of your English proficiency. Mindrift, in partnership with toloka-ai, offers freelance, project-based work for experienced data scientists. This role supports technology companies as they test, evaluate, and improve AI systems. Engagements are project-specific and do not represent permanent employment. Key responsibilities Create original data science challenges that mirror real-world analytical workflows in sectors like telecommunications, finance, government, e-commerce, and healthcare. Develop problems requiring advanced Python programming with libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Design computationally intensive tasks that cannot be solved manually within a reasonable timeframe. Build scenarios involving complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and deriving actionable insights. Ensure all problems are deterministic and reproducible by avoiding stochastic elements or by setting fixed random seeds. Base challenges on real business use cases, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Develop end-to-end problems that span the full data science pipeline: data ingestion, cleaning, exploratory data analysis, modeling, validation, and deployment considerations. Include big data processing scenarios that need scalable computational approaches. Validate solutions in Python using standard data science libraries and statistical methods. Document each problem with a clear business context and provide verified correct answers. Location This is a remote freelance role based in Queensland, Australia.
Part-time|A$35/hr - A$35/hr|Remote|Remote — Queensland, Australia
We request you to submit your CV in English and indicate your English proficiency level.Mindrift connects skilled professionals with project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based engagement and not a permanent position.Opportunity OverviewEach project presents unique challenges, where contributors may be tasked with:Formulating original material engineering problems that replicate real-world engineering workflows;Developing challenges that necessitate Python programming for engineering calculations and simulations;Creating computationally intensive problems that require numerical methods or iterative solutions;Designing problems related to system design, optimization, and analysis;Drawing from real research challenges or practical applications from engineering practice;Validating solutions using Python and standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis position is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent roles. The ideal candidates will possess:A degree in Material Science or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or any programming language will be considered;A minimum of 2 years of professional experience, including applied research or teaching experience;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+).Process OverviewApplication → Qualification Assessment → Project Assignment → Task Completion → PaymentProject CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and not a guaranteed workload, applicable only while the project is ongoing.CompensationContributors can earn up to $35 per hour, depending on their experience and contribution pace. Compensation levels may vary across projects based on their scope, complexity, and expertise required. Other projects on the platform may provide different earning potentials.
Part-time|A$35/hr - A$35/hr|Remote|Remote — Queensland, Australia
Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we specialize in connecting experts with flexible, project-based AI opportunities within top-tier tech companies, dedicated to the assessment and enhancement of AI systems. Please note that this is a project-based position and does not entail permanent employment.Opportunity Overview:Contributors will engage in a variety of unique tasks tailored to each project, which may include:Formulating original computational physics challenges that accurately reflect genuine physics research methodologies;Developing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Creating computationally demanding problems that are impractical to solve manually within a reasonable timeframe;Designing problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or practical applications in the field of physics;Validating solutions using Python in conjunction with standard physics simulation libraries;Documenting problem statements comprehensively and providing verified, accurate answers.Qualifications:This role is suited for physicists with Python experience who are open to part-time, non-permanent engagements. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is also acceptable;A minimum of 2 years of professional experience in applied, research, or teaching roles;Expertise in numerical simulation techniques;Capability to craft problems that reflect real physics research processes;Innovative thinking in problem design across various areas of physics;Knowledge of physics modeling and approximation techniques;Strong written English proficiency (C1+).Process:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Commitment:Contributors can expect to dedicate approximately 10–20 hours per week during active project phases, contingent upon project demands. This is an estimation and not a guaranteed workload, applicable only during active phases.Compensation:Participants can earn up to $35 per hour, contingent on their contribution level and pace. Compensation levels vary across projects based on their specific requirements.
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...
At Maincode, our mission is clear: to develop and deliver Matilda, Australia's pioneering conversational AI platform, with a focus on collaboration and innovation. We prioritize our team and the impactful work we do together.Matilda stands as the first fully Australian conversational AI platform, representing a significant technical challenge that we are tackling with a dedicated team that values speed and seriousness in our work.We seek intelligent, humble individuals who are eager to contribute to something meaningful, regardless of how they do so. Whether diving into research literature or mastering the construction of telemetry systems for scalable production infrastructure, your journey with us will be diverse and fulfilling.We value skill and character over traditional qualifications. Many of our top performers come from unexpected backgrounds, holding advanced degrees in adjacent fields or possessing uncommon combinations of experience. What they share is excellence, a capacity for rapid learning, and a commitment to teamwork.If you're looking for a highly detailed job specification, this may not be the right fit. If you find relief in the ambiguity and are excited by the prospect of diving into this challenge, we want to hear from you.
Join Algolia, a trailblazer in AI Search, serving over 17,000 businesses with lightning-fast, predictive search capabilities at an internet scale. Our platform handles over 30 billion search queries weekly, outperforming major competitors like Microsoft Bing and Yahoo.With a recent Series D funding of $150 million, we have elevated our valuation to $2.25 billion, allowing us to continuously enhance our leading platform and support renowned clients such as Under Armour, PetSmart, and Stripe.About the AI Research TeamThe AI Research team at Algolia merges fundamental research with product engineering to create innovative AI-driven features.This dynamic team comprises PhD researchers, full-stack engineers, and infrastructure experts collaborating to explore groundbreaking ideas, assess their impact, and implement successful research outcomes into real-world applications, ensuring that our work translates into tangible, customer-facing systems.The OpportunityWe are on the lookout for a dedicated Senior Site Reliability Engineer to embed within the AI Research team. In this role, you will enhance both the research and product engineering functions by ensuring the reliability, scalability, and operability of the infrastructure that underpins our innovative work.This position is a traditional SRE role focused on cloud-first, service-oriented architectures hosted on Google Cloud Platform. Although our team develops AI-powered systems, prior experience in AI or ML is not a prerequisite. Our primary focus is on strong SRE fundamentals, experience with production service management, and the ability to thrive in a setting characterized by ambiguity and high ownership.You will play a significant role in both daily operations and long-term (12-month) planning, influencing how the team builds and manages its platforms moving forward.What You’ll Work OnPlatform Reliability & EnablementEnhance the reliability of platforms utilized by the AI Research team. Some examples of our infrastructure initiatives include:A production inference service (embedding model serving API)AI data feature storeInternal tools for innovative research and experimentation
Who is Quantium?Quantium stands at the forefront of data science and artificial intelligence, established in Australia in 2002. With over 1,200 professionals across 14 locations globally, we seamlessly blend product and consulting services to empower businesses in unlocking the full potential of their data and analytics. Our partnerships with the world's largest corporations aim to create a more intelligent and innovative future. At Quantium-Telstra (QT), we are embarking on a groundbreaking AI transformation with Telstra InfraCo, revolutionizing the planning, construction, and operation of Australia’s digital infrastructure.As a Senior Data Scientist, you will be an integral part of cross-functional QT–InfraCo teams, reporting to QT Leads and collaborating directly with InfraCo stakeholders to bring AI opportunities to fruition. Your responsibilities will include conducting discovery and design sessions, coordinating project delivery among business and technical teams, actively developing AI and ML solutions, and tracking measurable outcomes as these capabilities are implemented.
