Business Development Representative at CoLab Software | St. John's, NL or Toronto, Ontario

CoLab Software supports mechanical engineering teams as they bring products to market. The company’s AI-driven platform helps teams capture design feedback, document decisions, and build a shared knowledge base. This approach allows engineering groups to identify issues earlier in the design process and reduce repeated mistakes on future projects. Organizati…

Ontario Transit Group is hiring a Civil Quality Inspector in Toronto. This position plays a key role in upholding quality standards for civil construction projects. Role overview The Civil Quality Inspector works alongside project managers and engineers to review construction activities and verify that work meets established quality requirements. Regular inspections and careful documentation are essential parts of the job. What you will do Conduct on-site inspections of civil construction work Document inspection results and report findings Collaborate with project teams to identify and recommend quality improvements Requirements Strong attention to detail Experience working on civil construction projects Ability to communicate effectively with engineers and project managers

At Range Group, we champion the invaluable role of professional travel advisors. Representing over $4.5 billion in annual travel sales, we firmly believe that equipped with the right technology and 24/7 support, travel advisors provide unmatched value to any journey. Our commitment to giving back is embodied in the Range Foundation, which allocates 10% of our group profits to social impact initiatives, from exploration grants and educational access to cultural infrastructure and humanitarian assistance. Join us in shaping a brighter future.This is a hybrid role, requiring two days a week onsite at our Toronto office. Candidates outside the commutable area may be considered for remote work.The RoleJoin TripArc as we develop an AI-driven vacation booking platform designed to empower North American travel advisors with over 10,000 pre-packaged, instantly bookable itineraries.Your responsibilities will encompass both pioneering new features and enhancing existing systems. You'll create new Angular micro-frontend applications, build AI agent pipelines, and integrate with our MongoDB-supported catalog framework for the Vacations Platform while also extending and collaborating with the established ADX booking platform and the new Product Builder. We seek individuals who can navigate both realms seamlessly.You will take full ownership of your tasks from design to deployment, working closely with Product, QA, and your team.Our Development ApproachWe expect all developers to integrate AI coding tools such as GitHub Copilot and others into their workflow as a standard practice. These tools facilitate a faster development cycle while ensuring quality through rigorous code reviews and testing. If you excel at leveraging AI-assisted development without sacrificing quality, you will thrive here.Your ContributionsItinerary Catalog & AI Pipelines: You will be instrumental in building...

Who We Are:At Cohere, our mission is to harness the power of intelligence for the betterment of humanity. We are at the forefront of developing and deploying cutting-edge models for developers and enterprises, enabling them to create transformative AI experiences like content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We firmly believe that our contributions are vital for the widespread integration of AI technologies.Our passion for innovation drives us. Each team member is accountable for enhancing our models' capabilities and delivering exceptional value to our customers. We thrive in a fast-paced environment, committed to excellence and customer satisfaction.Cohere comprises a diverse team of researchers, engineers, and designers, each a leader in their respective fields. We believe that diverse perspectives are essential to building outstanding products.Join our journey and help shape the future of AI!Why This Role Matters:As a Machine Learning Engineer focused on synthetic data, you will be instrumental in developing the synthetic data pipeline that supports Cohere's advanced language models. Your role will involve overseeing the entire lifecycle of synthetic data, which includes maintaining and optimizing the synthetic data pipeline, performing data analysis and generation, and conducting data ablation and model evaluations to assess data quality. You will work with diverse datasets, transforming them through generative models to enhance token efficiency and model performance. By merging research with engineering, you will connect raw data to state-of-the-art AI models, directly impacting critical training metrics such as throughput and accelerator utilization.Your contributions will be pivotal to our mission of providing efficient and reliable language understanding and generation capabilities, fostering innovation in natural language processing. If you have a passion for transforming data into the backbone of AI systems, this role presents a unique opportunity to make a significant impact.Please note: We have offices in London, Paris, Toronto, San Francisco, and New York, and we are proud to be a remote-friendly company! There are no location restrictions for this role within the EST and EU time zones.Your Responsibilities:Design and implement scalable inference pipelines that operate efficiently on large GPU clusters.Conduct data ablation studies to evaluate data quality and experiment with diverse data mixtures to enhance model performance.Collaborate with cross-functional teams to integrate synthetic data solutions into existing AI frameworks.Analyze and optimize data generation processes to support various AI applications.

About UsAt Cohere, our mission is to scale intelligence for the betterment of humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling them to create AI-powered experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our commitment to excellence is key to fostering the widespread adoption of AI technologies.We take great pride in our craft. Each team member is dedicated to enhancing the capabilities of our models and maximizing the value delivered to our clients. We thrive in a fast-paced environment, working diligently to prioritize our customers' needs.Cohere is a dynamic team of researchers, engineers, and designers, all driven by a shared passion for innovation. We believe that a diverse range of perspectives is essential for creating exceptional products.Join us on this exciting journey and help shape the future of AI!Why this role mattersAs a Machine Learning Engineer focusing on pre-training data, you will be instrumental in developing the data pipeline that supports Cohere’s advanced language models. This role involves conducting data ablations to evaluate data quality and crafting pre-training data mixtures aimed at optimizing model performance. By merging research with engineering, you will play a crucial role in transforming raw data into state-of-the-art AI models and will directly influence key training metrics such as throughput and accelerator utilization.Your contributions will be vital to our mission of delivering reliable and efficient language understanding and generation capabilities, driving innovation in natural language processing. If you're passionate about harnessing data to build foundational AI systems, this position presents a unique opportunity to make a significant impact.Note: Our offices are located in London, Paris, Toronto, San Francisco, and New York, and we fully support remote work! This role is open to candidates located anywhere in the EST to EU time zones.As a Machine Learning Engineer, Pre-Training Data, your responsibilities will include:Conducting data ablations to assess data quality and experimenting with data mixtures to boost model performance.Developing robust data modeling techniques to guarantee datasets are structured and formatted for optimal training efficiency.Researching and implementing innovative data curation methods, utilizing Cohere’s infrastructure to propel advancements in natural language processing.Collaborating with cross-functional teams to ensure the integration of high-quality data into our models.