Staff Engineer in Machine Learning - BEV

Join SandboxAQ: Innovators in AI SolutionsSandboxAQ is an exciting high-growth company dedicated to harnessing AI technologies to tackle some of the world's most pressing challenges. Our cutting-edge Large Quantitative Models (LQMs) are pivotal in driving advancements across various fields such as life sciences, financial services, navigation, and cybersecurity.As a part of our dynamic global team, you will collaborate with experts from diverse disciplines, including AI, chemistry, cybersecurity, physics, mathematics, and engineering. Founded in 2022 as an independent entity emerging from Alphabet Inc., SandboxAQ is backed by prominent investors and a braintrust of industry leaders.We are committed to fostering a creative, collaborative, and impactful work environment. By investing in our talented workforce, we aim to empower individuals to address significant global challenges. Join us to elevate your career while contributing to a mission that inspires innovation and transformative change.Your Role: Staff ML Research EngineerThe AI Sim R&D team is at the forefront of developing state-of-the-art machine learning and physics-based models to enhance drug and materials discovery. As a member of our innovative, multidisciplinary team, your work will significantly accelerate the development of new molecules and medicines.In your role as a Staff ML Research Engineer, you will bridge the gap between groundbreaking research and real-world applications, with the goal of establishing in silico design as the primary approach in drug discovery. Your primary responsibilities will include architecting, scaling, and optimizing the scientific codebases that drive our LQMs. In your first year, you will facilitate the transition of impactful prototypes into stable products, manage distributed training pipelines utilizing top-tier GPU infrastructure, and lead hardware-level optimizations to enhance computational chemistry capabilities.

About maneva maneva builds AI systems for manufacturing, using vision and production data to reduce downtime, improve quality, and support worker safety through automation on the factory floor. Role Overview This contract position calls for a Machine Learning Engineer / Research Engineer to join maneva's research and engineering efforts. The role involves close collaboration with a lead researcher and robotics engineers to advance industrial automation solutions. What You Will Do Work alongside a lead researcher to guide modeling choices, run structured experiments, and contribute to academic paper development. Implement and maintain policy training code for methods such as ACT, Diffusion Policy, Pi0 fine-tuning/OpenPi, and baseline techniques. Independently investigate and apply new methods from recent academic literature. Run ablation sweeps, prepare comparison tables and plots, and analyze results to extract insights. Maintain an evaluation harness to support reproducibility across experiments. Conduct literature reviews and organize documentation for ongoing and completed work. Draft and refine technical writing, including methods, experiments, and related work sections. Review training code written by robotics engineers as needed. Location Remote , Toronto, Ontario, Canada

Wisedocs is an innovative and rapidly expanding AI platform that revolutionizes the way insurance companies evaluate claims. With approximately $20 million USD in funding, over 100 team members worldwide, and more than 90 clients across North America and Australia, we are experiencing remarkable growth, doubling our revenue year after year.Founded by industry experts who have firsthand experience with the claims process, Wisedocs merges extensive domain expertise with cutting-edge AI, trained on over 100 million documents. Our platform simplifies complex medical records into clear, structured insights, supported by expert human oversight.Join our mission-driven team dedicated to developing intelligent products that simplify complexity, expedite decision-making, and create a significant impact when it matters most.Role OverviewWe are on the lookout for a Senior Machine Learning Engineer to spearhead the scaling and innovation of machine learning initiatives across the organization. In this pivotal role, you will enhance our inference and training pipelines to accommodate a higher volume of customers while refining extraction and summarization techniques across various modalities. You will foster a customer-centric approach and collaborate with fellow senior engineers to seamlessly integrate the ML system into the broader Wisedocs platform.Our Current ML EcosystemWe have three primary types of ML systems operational in production: an entity classification system, a custom reports generator, and a series of summarization models. Our entity classification has been functioning for four years and currently processes data asynchronously using a combination of models. Discover more about our initiatives at our tech blog.Recent Projects by Our ML Team:Reconstructing our inference pipeline to achieve 100x scalingDeveloping consistent parsing methods for 50,000-page PDFsDeploying our pipeline within an isolated government client environmentYour ResponsibilitiesDesigning and implementing machine learning models to analyze and interpret large sets of medical and insurance documentsCreating robust, scalable APIs using PythonCollaborating with technical stakeholders and leaders to contribute to system design and implementationEnsuring the reliability and scalability of ML systems while enforcing best practices in data engineering and model lifecycle managementWorking closely with our expert-in-the-loop teams to develop industry-leading evaluationsAdditional responsibilities will evolve as projects progress and change

Join mecka.ai as a Computer Vision Researcher specializing in Simulation and Embodied AI. In this role, you will push the boundaries of AI technology by developing innovative computer vision algorithms and systems that enhance the interaction between intelligent agents and their environments. Collaborate with a passionate team of researchers and engineers to create impactful solutions that will shape the future of AI.

Role Overview The University Health Network in Toronto is seeking a Postdoctoral Researcher to advance machine learning research in multimodal healthcare AI. This position centers on developing new approaches to improve healthcare outcomes by applying advanced AI methods to complex data. What You Will Do Develop and implement machine learning algorithms for healthcare applications Analyze large, multimodal datasets from clinical and research sources Collaborate with a multidisciplinary team, including clinical experts and researchers Translate research findings into insights that support clinical decision-making Collaboration and Impact This role works closely with professionals from diverse backgrounds. The research aims to create practical solutions that can be applied in real healthcare settings, contributing to better patient care and outcomes.

About SandboxAQSandboxAQ is a rapidly growing company dedicated to providing AI solutions that tackle some of the world's most pressing challenges. Our cutting-edge Large Quantitative Models (LQMs) drive advancements across various sectors, including life sciences, financial services, navigation, and cybersecurity.As a global team of tech enthusiasts, we comprise experts in AI, chemistry, cybersecurity, physics, mathematics, and engineering, among others. Originating from Alphabet Inc., we became an independent entity in 2022, backed by leading investors and a network of industry pioneers.At SandboxAQ, we foster an innovative environment that promotes creativity, collaboration, and meaningful contributions. By investing in our team's development, we are building a vibrant workforce ready to address global challenges. Join us to elevate your career in an inspiring mission with a community that values entrepreneurial spirit, ownership, and transformative impact.The OpportunityAs a Staff Forward Deployed Engineer (FDE) in our AI Simulation group, you will serve as the key technical liaison between our core Large Quantitative Models (LQMs) and our most ambitious client projects. This role is tailored for a resourceful generalist who thrives in an autonomous setting and is eager to tackle challenging issues in drug discovery and chemical simulation. You will work closely with scientific delivery teams, engaging at the intersection of fundamental research and practical application.Your main objective is to ensure the successful technical enablement of our critical partnerships. You will independently identify complex bottlenecks, design custom solutions, and manage scalable computing resources. Whether integrating scientific application logic, handling large data transformations, or working with Agentic systems, you will oversee the complete lifecycle of your deployments. This role requires a startup mindset: the ability to lead a project's technical vision while being willing to perform any necessary tasks to advance our mission.

Are you passionate about harnessing the power of machine learning to drive innovation in the mining industry? Stratum-AI is seeking a proactive and skilled Machine Learning Operations Engineer to become a vital part of our Infrastructure Team. In this role, you will play a key role in developing and maintaining the platform that trains, evaluates, and deploys our AI models, ensuring we deliver impactful solutions to our mining clients.Your expertise in Python and machine learning workflows will be instrumental as you collaborate with our talented team of engineers. Together, you will focus on creating a robust infrastructure and advanced tools that elevate our services.This is a fully remote position, allowing you to work from anywhere in Canada.

Toloka AI seeks a Freelance Machine Learning Engineer for remote contract work based in Manitoba, Canada. This role centers on hands-on AI projects where results have a direct impact. The position allows for independent work from home while engaging with a variety of machine learning efforts. Key responsibilities Use machine learning methods to support ongoing projects Work with Toloka AI teams to develop practical AI solutions Apply technical knowledge to solve concrete, real-world problems Work location This is a remote position open to candidates living in Manitoba, Canada.

About this OpportunityJoin a global leader in networking that is transforming how businesses manage their networks. Our AI Core group is at the forefront, developing pioneering platforms across various domains such as Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning large language models. Here, innovation is not just welcomed; it is a core expectation.The RoleAs a pivotal AI ML Engineer, you will take on a leadership role in shaping our machine learning strategy. You'll be responsible for creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time.Key ResponsibilitiesDefine and lead the technical vision for machine learning solutions across our product portfolio.Manage the complete software development lifecycle, overseeing everything from design and code reviews to deployment and operational management.Architect robust, scalable microservices, including both synchronous and asynchronous web services.Develop real-time inference pipelines for complex models leveraging tools like Triton, TensorRT, and mixed-precision computing.Mentor fellow engineers, establish technical direction, and cultivate a strong team culture.Promote engineering excellence, system resilience, and continuous improvement in operations.

Join Stratum AI as a Forward Deployed Machine Learning Engineer and be part of our Technical Services team focused on tackling complex real-world challenges.In this role, you will work extensively with custom architectures using PyTorch, applying your expert knowledge of complex Convolutional Neural Networks, Graph Neural Networks, and Transformers.We prefer candidates based in Canada for this remote-first position.Technical Services Team ResponsibilitiesConduct foundational research to design and implement advanced AI resource modeling techniques applicable to various mining operations.Refine existing architectures to train resource models tailored for specific mines.Effectively communicate model quality, metrics, performance, and methodologies to non-ML technical stakeholders.Identify opportunities for enhancing mining operations and garner client support for new modeling parameters.Monitor deployed model performance over time and innovate on ways to improve existing models.Role ResponsibilitiesCustomize Stratum’s deep learning models for specific mining contexts.Develop and sustain high-quality machine learning code using Python.Explore innovative approaches to enhance resource and metallurgical models for specific mines.Allocate 60% of your time to applied ML for individual mines and 40% to foundational ML across multiple mines.Participate in a minimum of 2 mine visits annually to engage directly with clients.Develop into a senior engineer capable of identifying additional applications of our technology with existing clients.Navigate and thrive amidst complex datasets and evolving client needs, turning ambiguity into structured, actionable plans.Role RequirementsMinimum of 2 years of experience in machine learning or related fields.Proficient in Python and PyTorch with a strong foundation in deep learning principles.Experience with Convolutional Neural Networks, Graph Neural Networks, and Transformers is essential.Excellent communication skills, particularly in translating technical concepts to non-technical audiences.Strong analytical and problem-solving abilities, especially in ambiguous situations.

Join our cutting-edge team at Afresh Technologies as a Staff Software Engineer specializing in Machine Learning Platforms. In this fully remote position, you will play a pivotal role in designing, building, and optimizing our ML infrastructure to support innovative solutions that redefine the food supply chain. Your expertise will help us harness the power of machine learning to drive efficiency and sustainability in food distribution.

Cresta is dedicated to transforming every customer interaction into a strategic advantage by harnessing the full potential of the contact center. Our innovative platform merges advanced AI with human insight to empower contact centers to unveil customer insights, optimize behavioral practices, automate conversations, and streamline inefficient processes, enabling every team member to enhance their productivity. Founded by alumni of the esteemed Stanford AI Lab, Cresta's co-founder and chairman is Sebastian Thrun, a visionary behind Google X, Waymo, and Udacity. Our leadership team also features CEO Ping Wu, co-founder of Google Contact Center AI and Vertex AI platform, along with Tim Shi, an early member of OpenAI. We invite you to join us on this exciting journey to reshape the workforce with AI. The future of work is unfolding at Cresta.About the Role:As part of the AI Agent team at Cresta, you will be tasked with developing cutting-edge AI Agents designed to address real-world challenges for our clients. We focus on leveraging the latest advancements in Large Language Models (LLMs) and AI Agent systems, ensuring our solutions are efficient, secure, and dependable. This position requires hands-on involvement in groundbreaking projects, appealing to innovative and passionate machine learning engineers who can translate research into practical, scalable applications.Your role as a Machine Learning Engineer will involve transitioning AI Agents from research to tangible applications. Responsibilities include developing and deploying proprietary LLMs, scaling AI solutions, and tackling crucial issues such as evaluation and reliability. While our emphasis is on real-world applications, you will engage with some of the most sophisticated technologies in the GenAI domain.

c-serv is forming an AI Red Team to improve the security of enterprise AI products. As an Adversarial Machine Learning Engineer, the focus will be on identifying vulnerabilities in large language model (LLM) systems and testing their defenses before they reach enterprise clients. This hands-on position addresses practical security challenges in real-world AI deployments. Main responsibilities Perform adversarial assessments targeting LLMs and other AI systems Simulate real-world attack scenarios, including: Prompt injection Jailbreaking and bypassing model guardrails Data exfiltration Model inversion and evasion Manipulation of retrieval-augmented generation (RAG) pipelines Develop scripts and tools to automate attack scenarios Evaluate model behavior and performance under adversarial conditions Identify weaknesses in technical components, such as: APIs Embedding pipelines Vector databases Fine-tuned model deployments Collaborate with engineering teams to verify fixes and improvements Document findings clearly and thoroughly Location This position is based in Calgary, Alberta, Canada. Impact The work in this role directly supports the reliability and security of AI systems before they are deployed at scale for enterprise use.

Join Parallel Domain, where we are revolutionizing the field of autonomy, robotics, and computer vision with our cutting-edge simulation and digital twin technology. Our Replica product is at the forefront of creating expansive, photorealistic digital twins of real-world environments, essential for testing, validating, and developing autonomous systems. If you are passionate about machine learning and eager to contribute to the future of technology, we invite you to apply!

Join Huawei Canada as a Co-op Researcher specializing in Computer Vision and Machine Learning. This is a unique opportunity for an aspiring professional to engage in groundbreaking research over an 8/12/16-month internship.About Our Team:Established in 2012, the Noah's Ark Lab is a pioneering research hub renowned for its contributions to both academia and industry. Our mission focuses on driving advancements in artificial intelligence and related domains to enhance both corporate objectives and societal welfare. We are committed to impactful, long-term initiatives that aim to elevate cutting-edge research while seamlessly integrating innovations into Huawei's product offerings, including Large Language Models (LLMs), Reinforcement Learning (RL), Natural Language Processing (NLP), computer vision, AI theory, and autonomous driving technologies.Role Overview:Engage in the research and development of cutting-edge technologies in computer vision and machine learning.Analyze diverse video and image data employing state-of-the-art deep learning and computer vision methodologies.Optimize algorithms and machine learning models with consideration of mobile computing constraints.

Join Mistplay as a Staff Machine Learning Engineer, leading the development of cutting-edge AI solutions in the mobile gaming sector. Mistplay is recognized as the foremost loyalty application for mobile gamers, empowering millions to explore new games while earning rewards for their time and investment. Our mission is to enhance the mobile gaming experience for users globally. Download Mistplay on the Google Play Store here and connect with us on Instagram, Twitter, and Facebook. Please Note: In Canada , Mistplay follows a hybrid model of 2 days per week in-office at our locations in Toronto (400 University Ave) and Montreal (1001 Blvd. Robert-Bourassa).

Join Our Innovative TeamSanctuary AI is at the forefront of developing dexterity-driven Physical AI for versatile robots. We are on the lookout for talented Machine Learning Engineers to become part of our dynamic team of engineers, researchers, and scientists. Together, we are committed to overcoming significant challenges in robotic perception, dexterous manipulation, planning, and reasoning.In this role, you will concentrate on creating robust systems to train and implement machine learning policies in robotic platforms. You will collaborate closely with researchers to introduce and execute cutting-edge ML techniques in production environments. Utilizing our state-of-the-art in-house robotic systems, you will design, test, and enhance software that connects advanced methodologies to practical outcomes. This role presents a unique opportunity to contribute to both the engineering foundations and the applied ML capabilities that propel our robots into the future.Note: Your role may require occasional travel (typically one to two weeks at a time, several times a year) to work closely with partners and teams on essential projects.

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.

Join Fullscript as a Staff Machine Learning Engineer, where you will play a pivotal role in designing and implementing innovative machine learning solutions that enhance our platform’s capabilities. You will work closely with cross-functional teams to develop algorithms and models that drive our business forward, making a significant impact on the healthcare industry.