Amazon Robotics is seeking a talented and motivated Engineer to architect, design, and develop state-of-the-art vision capabilities for our global fleet of robots. You will join a passionate, diverse team focused on delivering scalable, robust, high-performance sensing systems that power next-generation automation.Sponsored LinksIn this role, you’ll collaborate with research scientists, applied scientists, data scientists, and hardware engineers to prototype and validate vision features—both in simulation and on live robotic platforms—ensuring Amazon continues to innovate in robotic perception and autonomy.About the role: SW Engineer II, Sensing Application TeamArchitect, design, and implement vision systems for multiple robotic platforms, influencing the long-term strategy and roadmap. You’ll work cross-functionally with science and operations teams to iterate rapidly on prototypes and incorporate feedback from real-world deployments.Maintain high standards by participating in design reviews, building for fault tolerance and operational excellence, and creating continuous improvement mechanisms. Mentor fellow engineers and help drive our collective success in delivering reliable vision sensing.Sponsored LinksBenefits and SalaryAmazon offers a comprehensive benefits package for full-time employees, including:Medical, Dental, and Vision CoverageMaternity and Parental Leave optionsPaid Time Off (PTO)401(k) PlanJob Type: Full-time, PermanentLocation: Toronto, ON, CanadaRequirements / Skills3+ years of professional software development experience2+ years of system design or architecture experience (reliability, scaling)Proficiency in at least one programming languageFull SDLC experience: coding standards, code reviews, source control, testing, operationsExperience designing for fault tolerance and operational excellenceHow to ApplyExcited to drive the future of robotic vision at AWS? Click below to begin your application:Know someone who might be interested? Share this job posting and help them join Amazon Development Centre Canada ULC!AI-generated summary and tips to help you highlight your strengths effectively.As an SW Engineer II on the Sensing Application Team, you’ll spearhead the development of cutting-edge robotic vision features that enable billions of pick-and-place operations globally. Highlight projects where you overcame real-world constraints—such as latency, sensor noise, or hardware variability—by designing fault-tolerant, high-throughput systems.Showcase instances where you co-created prototypes with cross-disciplinary teams, rapidly iterated on simulation feedback, and validated solutions on live robots. Emphasize your ability to mentor peers, influence technical roadmaps, and uphold operational excellence in production environments.When applying, underline your collaboration skills with research scientists and hardware engineers, and your passion for continuous improvement. Demonstrate how your vision systems delivered measurable impact—reduced error rates, increased throughput, or improved reliability—in past roles.Your email address will not be published. Required fields are marked *Comment: *Name: *Email Address: *Website:Stay Updated! Get the Latest Job Alerts Directly to Your Inbox! #J-18808-Ljbffr
A leading technology company in Toronto is seeking a System Development Engineer to enhance the availability, resiliency, and security of their warehouse management system (WMS). The role involves developing automation for infrastructure tasks using programming languages such as Python and Java, and collaborating with multiple engineering teams. Candidates should possess a degree in Computer Science and proven troubleshooting skills. The company offers a range of benefits including medical coverage and parental leave options. #J-18808-Ljbffr
An established industry player is seeking a Software Development Engineer II to join their Supply Chain Optimization Technologies team. In this role, you will tackle complex technical challenges, develop scalable systems, and provide technical leadership. This position offers a unique opportunity to work with cutting-edge technologies such as big data and machine learning while contributing to high-impact solutions that optimize global fulfillment networks. If you're passionate about software development and eager to innovate, this is the perfect opportunity to make a significant impact. #J-18808-Ljbffr
Come and be a part of Amazon’s incredible growth story! If you’re inspired by invention and thrive on problem-solving through teamwork, you’ll fit right in at Amazon’s Fulfillment Technology & Robotics (FTR) organization. We apply advances in innovative technology to solve real-world challenges that transform our customers’ experiences in ways we can’t even imagine yet.About the role: System Development EngineerAs a System Development Engineer, you will enhance the availability, resiliency, and security of our WMS. You’ll collaborate with over 100 core engineering teams across multiple locations, developing automation for recurring manual infrastructure tasks, software upgrades, and AWS region creation/migration using Python, Java, and AWS Cloud technologies (Lambda, Fargate, ECS, DynamoDB, SNS, SQS, S3, EventBridge).Your responsibilities include building tools to automate manual business and operational processes, continuously improving the systems and pipelines that power FTR’s products, and developing scalable, maintainable, and secure solutions. You will also troubleshoot and resolve production software issues, develop monitoring solutions, perform software maintenance and configuration, and track and address technical challenges.Benefits and SalaryAWS offers a full range of benefits that support you and eligible family members, including:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)RRSP PlanJob ID: 2997837Requirements / SkillsExperience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, RubyExperience with distributed computing, programs, and systemsB.S. in Computer Science (or similar discipline) or comparable practical experienceNon-internship professional software development or technical support experience (preferred)Experience in UNIX/Linux operating system (preferred)AWS or other cloud infrastructure maintenance experience (preferred)Proven ability to troubleshoot and identify root causes of issuesSkill and passion for improving availability and resiliency using operational and engineering excellenceHow to ApplyReady to innovate within Amazon Fulfillment Technology? Click the button below to apply online.Know someone who might be interested? Share this job posting and help them join AWS! #J-18808-Ljbffr
Join Amazon Development Centre Canada ULC and become part of Amazon’s amazing growth story! As a Software Development Engineer II within the Supply Chain Optimization Technologies (SCOT) team, you will tackle deep technical challenges and help build innovative solutions to optimize Amazon’s global fulfillment network.Sponsored LinksAt Amazon SCOT, our Inventory Placement systems predict shipping costs and make millions of smart inventory routing decisions. We leverage big data, optimization, machine learning, real-time analytics, and develop high volume, low latency, highly available services to support our worldwide customers.About the role: Software Development Engineer IIIn this role, you will develop a deep understanding of Amazon’s Supply Chain Optimization Technologies, partnering with teams to design, build, and operate critical software services. You will help drive technical standards, develop architecturally sound systems, and deliver solutions that meet Amazon’s business needs.As a Senior Engineer, you will think globally, create scalable systems, and work on Amazon’s hardest technical challenges. You will provide technical leadership, produce high-level architectural designs, and ensure the systems you build are of the highest quality.Sponsored LinksBenefits and SalaryBe part of Amazon’s global innovationWork with the latest in big data and machine learningOpportunities to develop high availability, low latency servicesInclusive culture with support for workplace accommodationsSalary based on experience and skillsJob Type: Software DevelopmentLocation: Toronto, ONRequirements / Skills3+ years of professional software development experience2+ years of design or architecture experience, including scalability and reliabilityProficiency in at least one software programming languageFull software development life cycle experience including coding standards, code reviews, source control, build processes, and testingBachelor’s degree in Computer Science or equivalentHow to ApplyIf you’re ready to solve big challenges and innovate with Amazon’s SCOT team, don’t miss this opportunity. Click the button below to apply directly!Know someone who might be interested? Share this job posting and help them join Amazon!This role is perfect for experienced developers who want to work on high-impact systems and use technologies like machine learning and big data. Show your expertise in software development, highlight your experience in scalable system design, and showcase your ability to solve complex technical problems.Emphasize your leadership capabilities, your knowledge in full development life cycles, and your commitment to building high-quality, architecturally sound solutions. #J-18808-Ljbffr
Amazon Robotics is seeking a talented Engineer to develop advanced vision capabilities for its global fleet of robots. As an SW Engineer II, you will work with diverse teams to prototype and validate vision features, ensuring innovation in robotic perception and autonomy. This role offers a chance to influence long-term strategies while maintaining high operational standards and mentoring fellow engineers. #J-18808-Ljbffr
Job DescriptionThe RBKS AI team is responsible innovating AI features for Ring and Blink cameras, with a mission to make our neighborhood safer. We are working in the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking AI Applied Scientists to work on initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to shape next-generation home security technology while advancing the field of AI algorithms and systems.
The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience.
Key job responsibilities
- Design and develop advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding
- Develop privacy-preserving CV and GenAI models and systems, focusing on efficient fine-tuning and on-device and in-cloud inference
- Map product requirements into science solutions and deliver high-quality science artifacts that ship to products
- Collaborate with scientists, engineers, product/program managers and other cross-functional teams
BASIC QUALIFICATIONS- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
PREFERRED QUALIFICATIONS- Experience designing AI, Computer Vision, or Mapping products
- Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in development or technical support
- Experience in verbal and written communication for executive level leaders
- Background in visual transformers, diffusion models, and multimodal generation
- Expertise in real-time computer vision systems and optimization techniques
- Published research in top-tier conferences (CVPR, ICCV, NeurIPS, ICML) focusing on computer vision and/or GenAI
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Job DescriptionWe seek an AI Platform Builder—a Data Engineer focused on developing Platforms and Agentic AI solution—who embraces prompt-driven development with strong technical, analytical, communication, and stakeholder management skills. This role sits at the intersection of data engineering, business intelligence, and platform engineering—requiring partnership with software development engineers, scientists, data analysts, and business stakeholders across various verticals. You will design, evangelize, and implement platform features and curated datasets that power Artificial Intelligence/Machine Learning (AI/ML) initiatives and self-service analytics, helping us provide a great neighbor experience at greater velocity.
This role requires a first-principles approach to leveraging AI at every layer of the data stack—from using AI agents to write and optimize code, to building AI-powered platforms that serve AI models, to deploying intelligent agents that make data accessible. You will use AI to build AI infrastructure, automate the automation, and create self-improving systems that continuously enhance data quality, discoverability, and usability.
Key job responsibilities
You will build and maintain efficient, scalable, and privacy/security-compliant data pipelines, curated datasets for AI/ML consumption, and AI-native self-service data platforms using an AI-first development methodology. As a trusted technical partner to business stakeholders and data science teams, you'll deliver well-modeled, easily discoverable data optimized for specific use cases while leveraging AI-powered solutions and agentic frameworks to build continuously improving systems.
A day in the life
This Role will:
* Lead AI-assisted stakeholder engagement sessions across verticals like Subscriptions, Security, Sales, and Marketing
* Design and build curated datasets leveraging AI code generation and Agentic AI tools
* Build and maintain data pipelines using AI-assisted development with AWS services and internal Amazon tools
* Implement AI-powered self-service platforms with natural language interfaces
* Create intelligent governance systems for data classification, PII detection, and lineage tracking
* Facilitate AI-augmented workshops for stakeholders to explore data capabilities collaboratively
About the team
The Analytics & Science team for Decision Sciences is at the forefront of Ring's transformation into an AI-powered organization. We address cross-organizational data models, develop governance frameworks, provide direct Business Intelligence (BI) support across multiple teams, and build customer-facing and internal AI tools that fundamentally improve how effectively and quickly the organization makes decisions.
BASIC QUALIFICATIONS- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Knowledge of distributed systems as it pertains to data storage and computing
- Extensive hands-on experience with Gen AI enhanced development pipelines, AI coding assistants (GitHub Copilot, Amazon Q, Cursor, etc.), and prompt engineering
- Demonstrated track record of building AI agents, agentic workflows, or AI-powered automation tools
PREFERRED QUALIFICATIONS- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Job DescriptionThe vision for Alexa is to be the world’s best personal assistant. Such an assistant will play a vital role in managing the communication lives of customers, from drafting communications to coordinating with people on behalf of customers. At Alexa Connections, we’re leveraging Generative AI to bring this assistant to life.
If you’re passionate about building magical experiences for customers, while solving hard, complex technical problems, then this role is for you. You will operate at the intersection of large language models, real time communications, voice and graphical user interfaces, and mixed reality, to deliver delightful features for end customers.
Come join us to invent the future of how millions of customers will communicate with and through their virtual AI assistants.
Key job responsibilities
As a Senior Product Manager - Technical in Alexa Connections, you will be responsible for building messaging experiences, where Alexa acts as an agent to get things done for customers. This role is cross-functional — you will work closely with engineering, science, design, business intelligence, operations, finance and executive teams to bring features to market and develop and grow business opportunities for Amazon. A successful candidate will be highly analytical, able to work effectively in a matrix organization, and adept at synthesizing a variety of technologies and capabilities into high quality, simple products and applications that customers love.
A day in the life
Given the scope and high level of ownership that product managers have in Alexa, rarely are two days the same. You are a business owner, customer-facing representative for the service, and the point person for partner teams.
On a weekly basis, you will be working with customers to learn about the problems they are trying to solve, analyzing service and business metrics, writing PRFAQs, BRDs, and naming documents, iterating on product decisions with the Science and Engineering team, working with partners in solution architecture, legal, documentation, etc., thinking big to envision what is next, and exhibiting learn and be curious for different technologies, growth strategies, and market trends.
On a daily basis, you'll have a chance to work with everyone who makes products at Alexa successful, including senior leadership, engineers, business and sales experts, marketing, advocates, data scientists, content writers, and more. You will meet with customers to understand our core strengths and weaknesses. You will synthesize that feedback and other industry knowledge, with business and service data, to create strategies and test hypotheses. People will look to you on a regular basis to solve problems and connect them with specialists. To develop that expertise, you'll constantly be looking to learn by reaching out to other experts within the company and in the larger tech community, using your own product by developing samples, demos, side-projects, and through mentorship, both as a mentor and mentee. Our customers are developers and technical decision makers, so you will be using code, technical documentation, and architecture diagrams to understand problems and communicate solutions.
BASIC QUALIFICATIONS- Bachelor's degree
- 5+ years of product or program management, product marketing, business development or technology experience
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
PREFERRED QUALIFICATIONS- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools
- Experience with communication-related B2C products
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, BC, Vancouver - 128,100.00 - 214,000.00 CAD annually
Job DescriptionThe RBKS AI team is responsible for innovating AI features for Ring and Blink cameras, with a mission to make our neighborhoods safer. We are working at the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking Applied Science Manager to lead initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to lead a world-class team while shaping next-generation home security technology and advancing the field of AI algorithms and systems.
The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience.
Key job responsibilities
- Lead and guide a team of applied scientists in designing and developing advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding
- Drive technical strategy and roadmap for privacy-preserving CV and GenAI models and systems, ensuring the team delivers efficient fine-tuning and on-device and in-cloud inference solutions
- Partner with product and engineering leadership to translate business objectives into technical roadmaps, and ensure delivery of high-quality science artifacts that ship to products
- Build and maintain strategic partnerships with science, engineering, product, and program management teams across the organization
- Recruit, mentor, and develop top-tier applied science talent; provide technical and career guidance to team members while fostering a culture of innovation and excellence
- Set technical direction and establish best practices for AI products/features across multiple projects and initiatives
BASIC QUALIFICATIONS- 6+ years of scientists or machine learning engineers management experience
- Experience managing multiple projects and priorities across teams in a fast-paced, deadline-driven environment
- Technical depth in AI, Computer Vision, modern ML frameworks and infrastructure to guide team technical decisions and code reviews
PREFERRED QUALIFICATIONS- Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience leading development of real-time computer vision systems and optimization techniques at scale
- Experience setting technical vision and multi-year roadmaps for applied science teams
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
