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Top AI Jobs in Vancouver
The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing all engineering work related to personalized recommendations and AI solutions. Responsibilities include managing and mentoring team members, collaborating with product and business leaders, and ensuring the deployment of impactful ML solutions. They will also contribute to strategic planning and stay informed on the latest AI techniques.
The Staff Machine Learning Engineer will lead projects focusing on developing intelligent machine learning solutions for Square's products. Responsibilities include collaborating with leaders to define success criteria, driving machine learning projects, and mentoring team members, while advocating for engineering best practices and maintaining high code quality.
This role involves applying innovative AI and automation solutions in the context of clinical trials to enhance efficiency and efficacy. The engineer will work with a diverse team to initiate transformative changes and deliver impactful results in healthcare.
The GCOA Enterprise Architect at Lilly is responsible for developing innovative technology solutions that enhance business productivity and efficiency. This role involves strategizing technology roadmaps, determining system architecture, aligning IT with business goals, and documenting processes through architectural models. The architect will work closely with stakeholders to ensure optimal technology usage and integrate emerging technologies into business processes.
As a Staff AI Engineer at Cash App, you'll design and enhance machine learning services to combat financial crimes. Collaborating with various teams, you'll drive the strategic roadmap and optimize operations using generative AI technologies. The role includes leading ML infrastructure development and ensuring effective agent workflows.
As an AI Coding Expert, your role includes crafting and answering computer science questions, and evaluating code generated by AI models. This is a freelance, remote position that involves contributing your coding expertise for the training of generative AI models.
The AI Productivity Engineer role involves supporting the development and implementation of collaboration and conversational AI platforms within the company. The position is aimed at recent graduates, offering opportunities to learn about AI and software engineering, collaborate with IT teams, contribute to system integration, and improve employee experiences through AI-driven solutions.
As a Staff Software Engineer at GlossGenius, you will lead complex projects, manage technical direction, collaborate with cross-functional teams, and ensure high engineering standards. You will work on backend solutions and mentor other engineers while influencing product roadmaps and decisions.
As a Senior AI/ML Engineer, you will design, implement, and maintain machine learning algorithms and systems, collaborate with cross-functional teams, and integrate AI models into existing applications. You will advocate for best practices within the team while working in regulated environments, and ensure smooth operations by developing RESTful APIs and CI/CD pipelines.
As an AI Full-Stack Engineer, you'll develop user-friendly interfaces and robust systems, collaborating with engineers and product managers to build components for the Labelbox AI platform. You'll tackle complex challenges, ensure smooth operations, and lead process improvements while documenting technical solutions.
The Product Engineer, AI Decisioning role involves architecting and building end-to-end features for marketing and growth products, integrating machine learning models into user interfaces, and collaborating with cross-functional teams to enhance customer engagement with AI tools.
As a founding AI engineer, you'll design and implement core AI infrastructure, create sophisticated systems for recommendation and real-time model responses, ensure AI outputs are insightful, and shape the technical roadmap.
Outlier seeks skilled coders to provide human feedback for training AI models. Responsibilities include crafting computer science questions, evaluating AI-generated code, and ranking outputs to improve generative AI models. This is a flexible freelance role with no prior AI experience necessary.
As an AI Martech Solutions Consultant at Hightouch, you will help large clients deploy AI Decisioning marketing campaigns. Your responsibilities include consulting on use cases, setting up campaigns in automation platforms, ensuring data cleanliness, guiding project setup, and maintaining communication with customers about campaign progress and insights.
The job involves owning and building large areas within AI data management software, participating in the entire product lifecycle, and quickly learning new technologies as needed. You’ll work on developing tools for managing unstructured data at scale, contributing to open-source solutions, and collaborating with a remote team.
As a Senior AI Product Engineer, you will develop and optimize Large Language Models for AI products, collaborating with cross-functional teams to drive initiatives in decentralized and centralized finance. Responsibilities include designing LLM-based systems, prompt engineering, and integrating models into Agentic platforms.
As an AI Research Engineer, you will enhance the AI capabilities of the answer engine by improving LLM experiences through clever prompting and training. You'll collaborate with product engineers to maximize AI usage, ensuring timely and cost-effective answers while innovating new tools for a superior user experience.
The AI Research Engineer will enhance the performance of the Sonar models by employing advanced supervised and reinforcement learning techniques. This role includes managing the entire data, training, and evaluation pipelines and collaborating with engineering teams for integration into products.
The Full Stack AI Software Engineer will translate AI advances into products, propose features using LLMs, enhance codebase quality and speed, and collaborate with diverse teams to deliver exceptional products.
As an AI Inference Engineer, you will develop APIs for AI inference, benchmark and optimize the inference stack, enhance system reliability, and implement optimizations for large-scale machine learning models.
The AI Growth Engineer will engage with the AI community by creating content, building connections, and conducting short research projects that may involve writing code and testing AI models. The role focuses on enhancing Arize’s visibility in the AI space through various platforms and developing community-driven content.
The Senior Software Engineer will lead the design and implementation of a chatbot framework to enhance digital ad campaign management, integrate data sources, and collaborate with teams to solve technical challenges, focusing on performance optimization and user engagement.
As a Software Engineer for the Chatbot AI team, you will design and implement the copilot framework to enhance user interaction with digital advertising campaigns. You'll develop backend APIs, integrate data sources, collaborate with stakeholders, identify performance issues, and participate in candidate evaluations.
The Engineering Manager I for the AI Chatbot team will lead the development of a copilot platform to enhance digital advertising campaign optimization, foster collaboration with PMs, ensure high-performance engineering practices, and oversee hiring for the team.
As a Senior AI/ML Engineer at WEX, you will design, implement, and maintain machine learning algorithms and systems, collaborate with engineering teams to integrate AI models, manage version control and implement CI/CD pipelines, and communicate complex solutions to varied stakeholders.
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