Job Title: Machine learning Engineer Company: Wix Job Category: Machine Learning Roles & Responsibilities: Job Description As a Machine Learning Engineer, you'll design and implement scalable, high\-performance machine learning systems to support DeviantArt's vibrant online community. You'll play a key role in building innovative solutions that enhance user experiences and foster creativity within a high\-traffic environment. * Develop and improve algorithms for recommendations and classification to enhance user experiences * Implement and deploy reliable machine learning systems for an active online art community * Build end\-to\-end systems, from data ingestion to serving results in production * Stay up\-to\-date with developments in data and machine learning engineering, applying them to DeviantArt systems and goals The DeviantArt Artificial Intelligence team is part of DeviantArt, the largest online social network for artists and art enthusiasts. Founded in 2000 and part of Wix since 2017, DeviantArt empowers artists to exhibit, promote, and share their works with an enthusiastic, art\-centric community. With over 115 million registered users and tens of thousands of original art pieces uploaded daily, DeviantArt fosters creativity and community. The Artificial Intelligence team focuses on developing innovative solutions to enhance user experience, support artistic creativity, and ensure safe interactions within the platform. Work Location: Vancouver, Canada Availability: Full time
Job Title: Staff Data Engineer Company: RBC Job Category: Machine Learning Roles & Responsibilities: Job Description RBC Wealth Management (WM) Data \& AI is responsible for driving data driven decision making end\-to\-end across our global businesses. We're modernizing our data architecture, building out BI and analytics capabilities, and developing cutting\-edge AI/ML solutions—from traditional machine learning to Generative AI—to support our Global Executive Leadership as well as our Digital and Global Investment teams. * Architect, establish, maintain, and evolve the data foundation and analytical environments that support BI/analytics workloads and downstream AI/ML consumers with high performance and reliability * Design, build, and maintain scalable, production\-grade data pipelines that ingest, transform, and serve both structured and unstructured data across WM LoBs * Design data models and schemas that serve multiple consumer types—BI dashboards, reporting, and downstream ML pipelines—balancing performance, flexibility, and reusability * Build and maintain APIs and integrations that expose data to downstream consumers, including AI/ML systems and business workflows * Define clean data contracts and interfaces with downstream AI/ML and BI teams—schemas, SLAs, and freshness guarantees—to ensure reliable handoffs * Implement monitoring, logging, and observability for data pipelines to ensure reliability, performance, and compliance * Optimize pipeline and storage performance and cost (e.g., query tuning, partitioning, compute/storage cost management) across Dev, UAT, and Production environments * Create, maintain, and develop data assets across Dev, UAT, and Production environments, ensuring consistency * Identify, source, stage, and model improvements to partially/completely automate the most common, repeatable and tedious manual data preparation and integration tasks, and optimize data delivery for greater scalability, as part of the end\-to\-end data lifecycle * Implement data quality frameworks, automated testing, and monitoring to ensure data integrity and trust across all downstream consumers * Support data cataloging and metadata management practices to ensure data assets are discoverable, well\-documented, and governed * Support DevOps and DataOps best practices, including CI/CD, infrastructure\-as\-code, and automated testing across data pipelines * Use version control systems (e.g., GitHub) and data/schema comparison tooling to manage code and data changes safely across environments * A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable * Leaders who support your development through coaching and managing opportunities * Ability to make a difference and lasting impact * Work in a dynamic, collaborative, progressive, and high\-performing team * Flexible work/life balance options * Opportunities to do challenging work * Opportunities to take on progressively greater accountabilities * Access to a variety of job opportunities across business Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Quality Management, Requirements Analysis, Waterfall ModelAdditional Job Details WEALTH MANAGEMENTJob Type: At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Work Location: Toronto, ON, Canada Availability: Full time
Job Title: Junior AI Engineer Company: The Citco Group Limited Job Category: Machine Learning Roles & Responsibilities: About Citco JOB DESCRIPTION Citco is a global leader in fund services, corporate governance and related asset services with staff across 80 offices worldwide. With more than $1 trillion in assets under administration, we deliver end\-to\-end solutions and exceptional service to meet our clients’ needs. About The Team \& Business Line Proprietary software solutions and innovation are at the core of what differentiates Citco in the alternative investment space. Through our network of global development centres, Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award\-winning products that underpin our commitment to service excellence. As a core member of our technology team, you will work with dedicated professionals to build and support secure, cloud\-native, AI\-enabled applications for the financial services industry. Using modern software engineering practices, AI\-assisted development, and cross\-functional collaboration, you will help deliver reliable, high\-quality solutions that ensure clients maintain seamless access to their critical information assets while keeping Citco ahead of industry innovation. Within the AI Engineering team, you will assist with developing document intelligence solutions that classify financial and client documents, extract structured data, and drive business process automation. Working closely with business stakeholders, you will contribute to the development, testing and enhancement of AI\-powered solutions under the guidance of senior engineers leveraging large language models, natural language processing, document processing services, machine learning, and agentic workflows to solve complex business challenges and create measurable value. Responsibilities Your Role * You will work in a cross\-functional agile team to build and support cloud\-native and AI\-enabled applications. With guidance from experienced engineers, you will deliver well\-defined features, strengthen your software engineering skills and use AI development tools responsibly. * Participate in sprint planning, daily scrums, reviews and retrospectives. * Implement well\-defined application features, APIs, data\-processing components, prompts and AI integrations under guidance. * Implement solutions based on established architecture, design patterns and technical specifications. * Support the development of document\-processing, machine\-learning, RAG and generative AI capabilities. * Write clean, typed and maintainable Python code, and contribute to ReactJS components where required. * Work with common Python data and AI libraries such as Pandas, NumPy and scikit\-learn under guidance. * Create and validate unit and integration tests for changed behavior, including appropriate error and edge cases. * Review AI\-generated code, tests and documentation before including them in a change. * Troubleshoot defects, address review feedback and keep technical documentation current. * Support AWS deployments and CI/CD activities using established patterns, controls and runbooks. * Collaborate with Platform, Quality Engineering, data, security and operations colleagues. * Learn and apply software engineering best practices. * Participate in code reviews and incorporate feedback. * Develop proficiency in AI, cloud and software engineering technologies through practical project work. * Contribute to reusable components and documentation. AI\-Native Engineering Expectations * Use AI coding assistants to accelerate learning, implementation, testing and documentation within team guardrails. * Validate generated output for correctness, security, relevance and maintainability. * Be able to explain why submitted code and tests exist and what behavior they protect. * Apply established prompt, RAG and AI application test cases, datasets and harnesses with guidance. * Escalate uncertain, sensitive or high\-risk outputs for human review. * Demonstrate responsible use of AI coding assistants and development tools. * Seek guidance when generated outputs impact security, compliance, architectural decisions or business\-critical functionality. * Continuously improve understanding of AI development patterns and quality practices. Career Development Expectations * Demonstrate continuous growth in software engineering, cloud and AI technologies. * Progressively take ownership of increasingly complex features with guidance. * Develop the skills required to independently deliver AI\-enabled solutions. Work Location: Halifax, Nova Scotia, Canada Availability: Full time
Job Title: Machine learning Engineer Company: Wix Job Category: Machine Learning Roles & Responsibilities: Job Description As a Machine Learning Engineer, you'll design and implement scalable, high\-performance machine learning systems to support DeviantArt's vibrant online community. You'll play a key role in building innovative solutions that enhance user experiences and foster creativity within a high\-traffic environment. * Develop and improve algorithms for recommendations and classification to enhance user experiences * Implement and deploy reliable machine learning systems for an active online art community * Build end\-to\-end systems, from data ingestion to serving results in production * Stay up\-to\-date with developments in data and machine learning engineering, applying them to DeviantArt systems and goals This is a hybrid position, and the team is expected to come to the office 1 day per week. Additional Information The DeviantArt Artificial Intelligence team is part of DeviantArt, the largest online social network for artists and art enthusiasts. Founded in 2000 and part of Wix since 2017, DeviantArt empowers artists to exhibit, promote, and share their works with an enthusiastic, art\-centric community. With over 115 million registered users and tens of thousands of original art pieces uploaded daily, DeviantArt fosters creativity and community. The Artificial Intelligence team focuses on developing innovative solutions to enhance user experience, support artistic creativity, and ensure safe interactions within the platform. Work Location: Vancouver, British Columbia, Canada Availability: Full time
Job Title: AI Engineer Company: FGF Brands Job Category: Machine Learning Roles & Responsibilities: AI Engineer (Speech and Audio Systems) We’re a Naan Traditional Company… Job Summary: We are seeking a motivated, detail\-oriented AI Engineer to join our growing Audio Intelligence team. In this role, you will help build, refine, and deploy machine learning models that understand human speech and sound. You will bridge the gap between creative audio engineering and deep learning by processing raw audio datasets, evaluating model performance, and helping us build the next generation of voice\-activated technology. Responsibilities: * Data Curation \& Preprocessing: Clean, segment, and format audio datasets for model training (handling noise reduction, volume normalization, and formatting). * Audio Analysis \& Visual Inspection: Use advanced spectral editing software to inspect, clean, and isolate specific sound events or speech anomalies in our training data. * Model Training Support: Assist in fine\-tuning state\-of\-the\-art automatic speech recognition (ASR) and audio classification models. * Evaluation \& Benchmarking: Run validation tests on trained models, track performance metrics (like Word Error Rate), and document failures to help guide future improvements. * Collaboration: Work closely with senior AI scientists and data engineering teams to maintain high\-quality data pipelines. Disclaimer: The above describes the general responsibilities, required knowledge and skills. Please keep in mind that other duties may be added or this description may be amended at any time. Work Location: Greater Toronto Area, Canada Availability: Full time
Job Title: Senior Machine Learning Engineer, Premium Discovery Company: Scribd, Inc. Job Category: Machine Learning Roles & Responsibilities: We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in\-person moments that strengthen collaboration and culture. Occasional in\-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long\-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. Role overview ----------------- We're looking for a Senior Machine Learning Engineer to own recommendations for Fable and grow into the technical lead for Premium recommendations. Key responsibilities ------------------------ * Lead the migration of Fable's recommendations onto Orion, covering data, features, training, serving and experiments, while keeping today's recommendations running. * Extend Orion's rankers, feature store and embedding\-based retrieval to support Fable, in partnership with the Orion ML platform team. * Own the health of Fable's recommendation systems in production: quality, latency, cost and on\-call. * Bring Fable's social signals (shelves, ratings, reviews, book clubs, reader similarity) into recommendations for both Fable and Everand. * Design and analyze A/B tests with product managers and analysts to decide what ships. * Act as technical lead for Premium recommendations. Shape the roadmap with product managers, and see work that depends on other teams' systems through to delivery. * Raise the bar on engineering practice in the squad through design reviews, code quality and operational readiness. * Scribd Flex (flexible work model) * Comprehensive health, dental, and vision coverage * Mental health support and disability coverage * Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals * Paid parental leave and family support benefits * Retirement matching and employee equity * Learning and development programs and professional growth opportunities * Wellness and home office stipends * Complimentary access to the Scribd, Inc. suite of products * Enterprise access to leading AI tools Work Location: Toronto, Canada Availability: Full time
Job Title: Senior Machine Learning Engineer, Premium Discovery Company: Scribd, Inc. Job Category: Machine Learning Roles & Responsibilities: We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in\-person moments that strengthen collaboration and culture. Occasional in\-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long\-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. Role overview ----------------- We're looking for a Senior Machine Learning Engineer to own recommendations for Fable and grow into the technical lead for Premium recommendations. Key responsibilities ------------------------ * Lead the migration of Fable's recommendations onto Orion, covering data, features, training, serving and experiments, while keeping today's recommendations running. * Extend Orion's rankers, feature store and embedding\-based retrieval to support Fable, in partnership with the Orion ML platform team. * Own the health of Fable's recommendation systems in production: quality, latency, cost and on\-call. * Bring Fable's social signals (shelves, ratings, reviews, book clubs, reader similarity) into recommendations for both Fable and Everand. * Design and analyze A/B tests with product managers and analysts to decide what ships. * Act as technical lead for Premium recommendations. Shape the roadmap with product managers, and see work that depends on other teams' systems through to delivery. * Raise the bar on engineering practice in the squad through design reviews, code quality and operational readiness. * Scribd Flex (flexible work model) * Comprehensive health, dental, and vision coverage * Mental health support and disability coverage * Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals * Paid parental leave and family support benefits * Retirement matching and employee equity * Learning and development programs and professional growth opportunities * Wellness and home office stipends * Complimentary access to the Scribd, Inc. suite of products * Enterprise access to leading AI tools Work Location: Toronto, ON, Canada Availability: Full time
Job Title: Machine Learning Engineer III, Data Company: ACV Auctions Job Category: Machine Learning Roles & Responsibilities: At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer: What you will do: ACV's Machine Learning organization is looking for a talented Machine Learning Engineer III to join our ML inspection team. In this role, you'll drive end\-to\-end computer vision solutions processing hundreds of thousands of vehicle inspections annually into reliable, actionable insights, directly reducing inspection turnaround time, improving valuation accuracy, and scaling the capabilities of our inspection platform. You'll design and train damage detection models while architecting the high\-throughput serving infrastructure needed to keep those models performant under real production loads. As ACV continues to grow, you'll play a direct role in ensuring our inspection capabilities remain accurate, efficient, and resilient at scale. This role goes beyond executing on a defined roadmap. You'll identify opportunities, shape solutions end\-to\-end, and take ownership of outcomes. You connect the dots between stakeholder needs and what's technically feasible, bringing recommendations grounded in both theory and practical constraints. When you hear a narrow question, you think about the broader system it lives in and build toward that. The core responsibilities of this role are: * Design and train high\-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness. * Architect and maintain high\-throughput, containerized microservices for model serving using REST/gRPC to ensure low\-latency performance. * Collaborate with business stakeholders to translate complex inspection requirements into scalable, production\-grade ML solutions. * Own the end\-to\-end model lifecycle, from experimentation and design to deployment and optimization in high\-traffic environments. * Design and maintain robust data pipelines using Kafka to ensure high\-fidelity inputs for model serving and inference. * Perform additional duties as assigned. Work Location: Toronto, Ontario, Canada Availability: Full time
Job Title: Machine Learning Engineer II (ROA + LTV ML) Company: Affirm Job Category: Machine Learning Roles & Responsibilities: As a Machine Learning Engineer on our team, you will be at the forefront of developing high\-quality, production\-ready models that play a central role in our decision\-making processes. Your contributions will be instrumental in shaping our financial landscape. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you! * Use Affirm's proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives * Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems * Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm * Implement and scale data pipelines, new features, and algorithms that are essential to our production models * Collaborate with the engineering, credit, and product teams to define requirements for new products This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. * Health coverage at no cost: We cover 100% of premiums for employees and their dependents. * Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. * Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. * Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. Work Location: Toronto, Canada Availability: Full time
Job Title: Senior Machine Learning Engineer Company: Jumio Corporation Job Category: Machine Learning Roles & Responsibilities: What You’ll Do * Design and develop computer vision models and pipelines, contributing to biometrics use cases such as face detection, quality assessment, and recognition * Collaborate on benchmarking of models across datasets and operating conditions * Train and optimize models using PyTorch, TensorFlow, and/or JAX * Contribute to end\-to\-end ML pipelines, from data ingestion to deployment. Help design automated pipelines (Airflow) for data ingestion and cleaning. * Production Engineering: Optimize models for low\-latency inference (quantization, distillation, TensorRT/ONNX) and support deployment on AWS. * Collaborate with and mentor ML engineers, and contribute to technical best practices across the Computer Vision team. Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation About Jumio: Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others. Work Location: Montreal, Quebec, Canada Availability: Full time
