Freelance Quantum Research Scientist & Python AI Trainer

Please submit your CV in English, specifying your English proficiency level.At Mindrift, we specialize in connecting talented professionals with exciting project-based AI opportunities across renowned tech companies, dedicated to the testing, evaluation, and enhancement of AI systems. Note that participation is on a project basis and does not constitute perm…

Research Scientist in AI-Driven Scientific DiscoveryLocation: Montreal, CanadaAt Google DeepMind, we prioritize diverse experiences, knowledge, backgrounds, and perspectives, leveraging these attributes to create remarkable impacts in the field of artificial intelligence. We are dedicated to providing equal employment opportunities for all individuals, regardless of sex, race, religion, ethnic origin, disability, age, citizenship, marital status, sexual orientation, gender identity, or any other basis protected by applicable law. If you require accommodations due to a disability or other needs, please let us know.Position OverviewWe are seeking a Research Scientist to become an integral part of our Montreal team, focused on utilizing AI for Scientific Discovery. The team’s research encompasses systems that integrate code execution and retrieval tools with natural-language scientific knowledge, aimed at accelerating groundbreaking scientific discoveries. Research topics include general-purpose algorithms that utilize Large Language Models (LLMs) for efficient search and exploration, fine-tuning LLMs with Reinforcement Learning, and engaging in open-ended tasks that contribute to large-scale AI-powered empirical research.About Google DeepMindArtificial Intelligence stands as one of humanity’s most transformative inventions. At Google DeepMind, our team of scientists, engineers, and machine learning experts collaborates to push the boundaries of AI technology for the betterment of society and scientific advancement, while ensuring that safety and ethics are prioritized in all our endeavors.Role ResponsibilitiesAs a Research Scientist at Google DeepMind, you will lead initiatives to develop innovative algorithmic architectures with the ultimate goal of realizing Artificial General Intelligence.Your key responsibilities will include:Designing, implementing, and evaluating models, agents, and software prototypes of large foundational models.Advancing the state of the art in reinforcement learning methods and machine learning optimization techniques to construct autonomous scientific discovery systems.Communicating research findings and advancements clearly and effectively, both internally and externally, through written and verbal channels.Collaborating with team members to achieve ambitious research objectives.Engaging with external partners and maintaining collaborations with relevant research laboratories.

Join Mila, a leading research institute in artificial intelligence, as an Applied Research Scientist specializing in AI Security. In this role, you will contribute to cutting-edge research and develop innovative solutions to enhance the security of artificial intelligence systems. Collaborate with a talented team of scientists and engineers to tackle complex challenges and drive advancements in AI technology.

About IdeogramAt Ideogram, we strive to democratize access to world-class design, enhancing human creativity through innovative solutions. Our proprietary generative media models and AI-driven creative workflows are developed to tackle complex challenges in graphic design. Our team, comprised of pioneers in technology, has made significant contributions to fields including Diffusion Models and Google’s Imagen. We are dedicated to producing designs that resonate with creatives, balancing craft and engineering excellence.Having successfully raised nearly $100 million in funding from esteemed investors such as Andreessen Horowitz and Index Ventures, we are rapidly expanding our footprint. With headquarters in Toronto and a growing presence in New York City, we are on a trajectory to triple our team in the coming year. Our flat organizational structure fosters a culture of ownership, collaboration, and mentorship.Discover more about our innovations by exploring Ideogram 3.0, Canvas, and Character. Experience Ideogram firsthand at ideogram.ai.The OpportunityJoin us as a Research Engineer / Research Scientist, where you will advance the development of visual generative models. Your focus will be on large-scale pre-training for our text-to-image foundation models, where you will define objectives, algorithms, data, and systems, transforming innovative concepts into models that drive products utilized by millions. Collaborate with a passionate team of researchers and engineers committed to shaping the future of the creative economy.

About IdeogramAt Ideogram, we believe in democratizing world-class design, amplifying human creativity through cutting-edge technology. Our proprietary generative media models and AI-driven creative workflows address the most pressing challenges faced in graphic design today. Our team is composed of seasoned innovators with a history of breakthroughs in technology, including pioneering research in Diffusion Models, Google’s Imagen, and Imagen Video. We prioritize design, taste, and craftsmanship alongside research and engineering, delivering experiences that creatives truly cherish.Having secured nearly $100M in funding from prominent investors like Andreessen Horowitz and Index Ventures, our headquarters are located in Toronto, with a rapidly expanding team in New York City. We are on an aggressive scaling trajectory, aiming to triple our workforce in the upcoming year. Our culture is characterized by a flat hierarchy, fostering high ownership, collaboration, and mentorship.Discover more about our innovative features in Ideogram 3.0, Canvas, and Character. Experience Ideogram at ideogram.ai.The OpportunityAs a Research Engineer / Research Scientist, you will spearhead the development of our end-to-end post-training pipeline for text-to-image foundation models. Your role will encompass everything from data strategy to deployment, pushing forward techniques such as Reinforcement Learning from Human Feedback (RLHF), Reinforcement Learning from AI Feedback (RLAIF), and enhancing personalization/customization. You will play a pivotal role in post-training research that yields measurable advancements while implementing and maintaining high-throughput fine-tuning and evaluation pipelines. Join a dynamic team of engineers and researchers dedicated to shaping the future of the creative economy.

At Waabi, a pioneer in Physical AI founded by the renowned AI expert Raquel Urtasun, we are at the forefront of revolutionizing autonomous transportation. Our cutting-edge technology is powering commercial autonomous trucks and robotaxis, and we are proud to collaborate with global leaders across AI, automotive, logistics, and deep tech sectors.With a rapidly expanding presence in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is on the lookout for innovative, diverse, and collaborative talent eager to make a positive impact on the world. To learn more, visit: www.waabi.aiJoin our mission to redefine the application of generative AI in the physical realm! As a Research Scientist, you will spearhead the development of groundbreaking AI technologies that facilitate the deployment of fully driverless autonomous trucks. Your contributions will be pivotal in realizing Waabi's vision of a unified AI system that learns in an end-to-end manner while ensuring safety, alongside our innovative high-fidelity, closed-loop simulator, Waabi World. We welcome both senior and junior scientists to apply.Key Responsibilities:- Lead and engage in AI research initiatives that advance the boundaries of the field through the creation of novel algorithms for our autonomy systems and state-of-the-art simulator.- Tackle a wide array of challenges related to self-driving technology, including perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment.- Innovate solutions by harnessing the latest advancements in AI, such as transformers, foundational models, LLMs/VLMs, generative modeling, and reinforcement learning.- Assist in deploying solutions to our production systems, working closely with platform teams to ensure the integration of research outcomes into our operational systems.- Keep abreast of and push beyond state-of-the-art developments in artificial intelligence, machine learning, computer vision, and autonomous driving technologies.- Promote engineering excellence by ensuring high-quality, well-structured, and thoroughly tested code.- Present and publish your work at prestigious machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and contribute to our company blog.

Join Waabi as a Research Scientist in Neural Reconstruction, where you'll be at the forefront of advancing neural network technologies. We are seeking innovative minds with a passion for artificial intelligence and machine learning to contribute to groundbreaking research in neural reconstruction.

Join Upwork Inc., a leader in connecting businesses with skilled, AI-driven talent globally. As a Senior AI Research Scientist specializing in AI Evaluation and Reliability, you will play a pivotal role in ensuring the robustness and dependability of AI systems. Your expertise will help us enhance our offerings, driving innovation and business transformation across various sectors. Collaborate with cross-functional teams to develop and implement advanced evaluation methodologies, contributing to a future where AI solutions are both effective and trustworthy.

Huawei Canada’s Noah’s Ark Lab in Montreal is a leading center for artificial intelligence research, established in 2012. The lab’s work shapes both academic progress and practical applications, directly supporting Huawei’s products and services. Areas of focus include large language models, reinforcement learning, natural language processing, computer vision, AI theory, and autonomous driving. The team emphasizes long-term, high-impact research that bridges theory and industry needs. Role overview The Chief Scientist in Physical AI leads research and development efforts in Embodied AI and Spatial AI. This position involves close collaboration with researchers and engineers to move advanced concepts into practical, real-world solutions. What you will do Drive research in Embodied AI and Spatial AI, working with teams to tackle practical challenges and support the transition of innovations from idea to deployment. Create and refine methods in Physical AI, such as robotic foundation models, world models, multimodal representation learning, reasoning, planning, and reinforcement learning with low-level control. Translate complex research problems and model architectures into production-ready systems to enable rapid iteration and large-scale experimentation. Design and conduct experiments on simulated and real robotic platforms, focusing on data collection, performance measurement, and analysis. Advance closed-loop learning by integrating data, models, and real-world feedback to improve system reliability and adaptability. Collaborate with research, infrastructure, and robotics teams to ensure systems are well-integrated and scalable. Lead and contribute to research publications and patents, targeting venues such as NeurIPS, ICML, ICLR, CVPR, and ICRA.

Join Waabi as a Research Scientist specializing in World Models, where you will contribute to pioneering advancements in artificial intelligence. Your expertise will play a crucial role in developing innovative algorithms and enhancing the capabilities of our AI systems.

Noah’s Ark Lab at Huawei Canada has operated since 2012 as a research institute recognized for its work in both academic and industry circles. The lab advances artificial intelligence and related fields, with a focus on projects that drive long-term impact. Areas of expertise include large language models, reinforcement learning, natural language processing, computer vision, AI theory, and autonomous driving. Research at the lab aims to refine state-of-the-art methods and integrate new innovations into practical products and services. Role overview The Chief Scientist in Physical AI leads research and development efforts in Embodied AI and Spatial AI. This role involves close collaboration with researchers and engineers to address practical challenges and move advanced research into scalable, real-world applications. What you will do Direct research in Embodied AI and Spatial AI, working with teams to solve real-world problems and transition solutions into production. Develop new methods in Physical AI, including robotic foundation models, world models, multimodal representation learning, reasoning and planning, as well as imitation and reinforcement learning with low-level control. Translate complex research and model designs into efficient, production-ready systems, supporting rapid iteration and experimentation. Design and execute experiments in both simulated and real robotic environments, focusing on data collection, evaluation, and performance analysis. Lead closed-loop learning initiatives by integrating data, models, and real-world feedback to enhance system reliability and adaptability. Promote collaboration across research, infrastructure, and robotics teams to build scalable, coherent systems. Contribute to impactful research outputs, including patents and publications in leading venues such as NeurIPS, ICML, ICLR, CVPR, and ICRA. Location This position is based in Markham, Ontario, Canada.

Join Our Innovative Team!Sanctuary, a global frontrunner in developing AI-driven control systems for humanoid robotics, is on the lookout for a Staff Research Scientist specializing in dexterous manipulation to enhance our groundbreaking projects.In this pivotal role, you will leverage state-of-the-art methodologies to design robust training and data collection systems. You will manage the assessment of these algorithms in simulated environments and deploy them on our advanced robots in real-world applications. This is a unique opportunity to contribute to pioneering advancements in haptic and proprioceptive sensing techniques, utilizing our in-house robot equipped with dexterous hands.

Join Huawei Canada as a Research Scientist!The Noah's Ark Lab, established in 2012, has emerged as a leading research entity dedicated to pioneering advancements in artificial intelligence and its applications. Our mission is to leverage cutting-edge research to enhance both our products and the broader community. Our projects encompass a wide range of AI disciplines, including Large Language Models (LLMs), Reinforcement Learning (RL), Natural Language Processing (NLP), computer vision, AI theory, and Autonomous driving.Key Responsibilities:Drive independent research and development in computer vision and multimodal foundation models.Collaborate with diverse teams to embed computer vision technologies into comprehensive spatial reasoning systems.Mentor junior engineers and interns, cultivating a dynamic and innovative team culture.Enhance our intellectual property through active participation in patent submissions and scholarly publications.Keep informed on the latest trends and breakthroughs in computer vision and machine learning, while proactively seeking innovative opportunities.Effectively manage projects and consistently deliver exceptional results within set deadlines.

Role Overview Otilumionics is hiring a Research Scientist for its Mississauga, ON office. This position focuses on research and development projects that support the company's technology goals. What You Will Do Design and run experiments as part of ongoing research initiatives Analyze experimental data to draw meaningful conclusions Work with colleagues from different teams to share findings and develop new products About Otilumionics Otilumionics works to advance technology through research and product development. The team values curiosity, collaboration, and practical innovation.

Join Waabi, a pioneering company in Physical AI, founded by the esteemed AI innovator Raquel Urtasun. We are at the forefront of revolutionizing autonomous transportation, utilizing cutting-edge technology to drive commercial autonomous trucks and robotaxis. Our exceptional team collaborates with industry leaders in AI, automotive, logistics, and deep tech to shape the future.With offices located in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is rapidly expanding and seeking diverse, innovative, and collaborative talent eager to make a positive impact on the world. Discover more about us at: www.waabi.aiYour Role:- Collaborate within a multidisciplinary team of Research Scientists and Engineers, employing an AI-first approach to advance safe self-driving technology at scale.- Lead or contribute to innovative AI research projects, expanding the boundaries of the field by creating new algorithms for Autonomous Vehicles (AV) in key areas such as perception, prediction, motion planning, controls, simulation, mapping, localization, and core AI.- Design, implement, train, and optimize cutting-edge algorithms for self-driving vehicles and various production systems.- You will be encouraged to publish your work at leading conferences in machine learning, computer vision, and robotics (NeurIPS, ICLR, ICML, CVPR, etc.) and contribute to our company blog.

Join ServiceNow as a Senior Research Engineer/Scientist, where you will have the opportunity to drive innovation and contribute to cutting-edge projects that shape the future of our technology solutions. As a pivotal member of our research team, you will utilize your expertise to solve complex problems and develop advanced algorithms and methodologies.

Join Huawei Canada as a Researcher on a 12-month contract and be part of an innovative team dedicated to enhancing the performance and efficiency of smartphone technologies.About Our Team:The Software-Hardware System Optimization Lab is at the forefront of improving the power efficiency and performance of mobile devices. Through groundbreaking software-hardware integration and architectural innovation, we leverage cutting-edge technologies to bolster the competitive edge in mobile AI, graphics, multimedia, and software architecture.Key Responsibilities:Conduct research and develop Generative AI algorithms aimed at optimizing system performance on edge devices, achieving tangible improvements in latency, power consumption, and overall quality.Work collaboratively with fellow researchers to prototype, implement, and seamlessly integrate innovative research solutions into production-level code.Design and execute comprehensive experiments utilizing both internal and public benchmarks; establish reproducible processes, ablation studies, and statistical analyses.Stay informed on the latest literature; synthesize insights and propose new research directions.

Submit your CV in English and specify your English proficiency level. Toloka AI, in partnership with Mindrift, offers freelance, project-based work for subject matter experts in physics. This role centers on evaluating, testing, and helping to improve AI systems for technology clients. Engagement is on a project basis and does not constitute permanent employment. Key responsibilities Create original optics problems inspired by current physics research. Design computationally intensive challenges that require days or weeks to solve, making manual solutions impractical. Develop problems involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base scenarios on real research issues or practical applications relevant to physics and optics. Document each problem thoroughly and provide accurate, verified solutions. Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a closely related discipline Minimum of 2 years’ professional experience in applied, research, or teaching roles Knowledge of numerical simulation methods Experience designing problems that reflect authentic research workflows Creative problem-solving skills across several areas of physics Understanding of physics modeling and approximation techniques Strong written English skills at C1 level or higher Project process Apply Meet qualification criteria Join a project Complete assigned tasks Receive payment Time commitment During active project periods, tasks usually require 10–20 hours per week. Actual workload may vary depending on project needs. Compensation Earnings can reach up to $35 per hour, depending on contribution and pace. Actual rates depend on project scope, complexity, and expertise required. Other projects on the platform may offer different pay rates. Location This freelance, remote role is open to candidates living in Manitoba, Canada.

Please submit your CV in English and indicate your level of English proficiency.Mindrift is dedicated to linking talented specialists with innovative project-based opportunities in AI for top-tier technology companies, emphasizing the evaluation, testing, and enhancement of AI systems. This is a project-based engagement and does not constitute permanent employment.Opportunity OverviewEach project presents a variety of unique tasks that contributors may undertake, including:Creating original materials that simulate authentic engineering workflows;Formulating engineering problems that necessitate Python programming for simulations and calculations;Ensuring that these problems are computationally intensive, requiring numerical methods or iterative solutions;Developing challenges around system design, optimization, and analysis;Designing problems based on real-world research challenges or practical applications from the field;Validating solutions using Python with standard engineering libraries;Clearly documenting problem statements and providing verified, accurate answers.Qualifications and Skills RequiredThis role is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent work arrangements. The ideal candidates will possess:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any comparable programming language is acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written communication skills in English (C1+ level).How the Process WorksApplication → Qualification Assessment → Project Engagement → Task Completion → CompensationExpected Project CommitmentThis project anticipates a commitment of approximately 10–20 hours per week during active phases, depending on project requirements. This is an estimate and does not guarantee a specific workload.Compensation DetailsContributors can earn up to $35 per hour, subject to their expertise and contribution pace. Please note that compensation may vary significantly across different projects based on their complexity and scope.

Huawei Canada is excited to announce a permanent opportunity for a Research Scientist.About the Team:The AnShi Lab is dedicated to pioneering innovative software architecture for next-generation gateways, emphasizing file security and cutting-edge software advancements. Our mission revolves around conducting extensive mid- to long-term research aimed at generating valuable patents and directing the evolution of data communication gateway technologies. We strive to set industry standards through intelligent, cloud-based software engineering while nurturing local talent and expertise to form a high-performing technical team that enhances organizational capability and dynamism.Position Overview:Evaluate the performance metrics and scalability challenges of our existing network gateway policy engine, and investigate parallel algorithms for rule lookups and incremental updates on GPU and heterogeneous CPU/GPU or multi-core CPU systems.Research hybrid CPU/GPU architectures akin to high-speed Deep Packet Inspection (DPI) and pattern-matching systems.Develop and assess novel data structures for efficient network gateway rule matching.Implement high-quality solutions in C/C++, ensuring they meet production standards in terms of performance, robustness, and maintainability.Collaborate closely with product teams and malware research units to effectively integrate new engines and solutions into existing products.Contribute to patent applications and, when applicable, academic or industry publications.Engage in additional malware research initiatives as required.The anticipated annual compensation for this position ranges from $106,000 to $156,000, contingent upon qualifications, experience, and demonstrated expertise.