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.

Job DescriptionMcKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.Job TitleLead Automation EngineerSummaryWe are seeking a Lead Automation Engineer (P5) to design, deliver, and scale automation that powers our cybersecurity platforms and operations. You will own the automation strategy and execution across SIEM, SOAR, endpoint, vulnerability, and cloud-security workflows—eliminating manual toil, standardizing deployments, and embedding reliability into the way we operate.Location note: this is a remote role within 50km of Mississagua Ontario or St Laurent Quebec, or Calgary, AB, or Vancouver, BCWhat You’ll DoOwn the automation roadmap aligned to platform runbooks and quarterly objectives; prioritize high-value use cases that reduce manual effort and improve speed/quality.Design, implement, and maintain Python-based playbooks, micro-services, and scripts for enrichment, decisioning, remediation, and evidence collection.Deliver self-service capabilities (CLI/ChatOps/UI) that enable platform teams and SOC/IR to perform standardized actions safely and repeatedly.Build robust API integrations between security tools and enterprise systems (e.g., SIEM/SOAR, endpoint, vulnerability scanners, ticketing/ServiceNow, CMDB, identity, cloud services).Implement CI/CD workflows (GitHub Actions/Azure DevOps/GitLab CI), environment promotion, secrets management, and rollback safety for automation code.Add observability to automation (structured logging, metrics, traces, alerts); track playbook success/failure, latency, and error budgets.Act as technical lead for automation initiatives; mentor engineers on Python, integration patterns, and CI/CD.Partner closely with SOC/IR, Platform Ops, Cloud/Infra, and GRC to align automation to operational, resilience, and compliance needs.What You BringExpert-level Python (designing maintainable packages/services, async patterns where useful, testing, packaging, dependency management).Practical experience building API integrations (REST/GraphQL), handling auth flows (OAuth2, JWT), and working with JSON/structured logs.Demonstrated DevOps capability: CI/CD pipelines, artifact versioning, release orchestration, and basic container familiarity (Docker).Hands-on with at least two security/platform domains (e.g., SIEM/SOAR, endpoint/EDR, vulnerability management, email/data security, cloud security).Strong communication skills and a track record of shipping reliable automation that measurably improves operations.Minimum RequirementsDegree or equivalent and typically requires 10+ years of relevant experience. Less years required if has relevant Master’s or Doctorate qualifications.Preferable Skills & ExperienceExperience with Terraform or Ansible for provisioning/configuration.Familiarity with event-driven patterns (webhooks, message queues) and serverless runtimes.Experience optimizing cost/throughput for data pipelines or security platform ingestion.Comfort with basic front-end for internal self-service tools (e.g., lightweight UIs, ChatOps).What Success Would Look LikeToil reduction and time-to-complete improvements for automated workflows.Playbook success rate, latency, and reduction in manual escalations.Coverage of automation across priority platforms (e.g., % alerts triaged/enriched automatically, % standard changes automated).Deployment reliability (pipeline success, rollback readiness, change-related incident reduction).Quality and completeness of audit-ready evidence produced automatically by automation jobs.Tools & EnvironmentLanguage: Python (primary)DevOps: GitHub/GitHub Actions or Azure DevOps; container builds; secrets management (e.g., Key Vault/Secrets Manager)Integrations: REST/GraphQL APIs, ServiceNow/CMDB, identity platforms, cloud provider SDKsSecurity platforms: SIEM/SOAR (e.g., Splunk, Cortex XSIAM/XSOAR), EDR (e.g., SentinelOne/Defender), Vulnerability Mgmt (e.g., Rapid7/Tenable), Email/Data Security (e.g., MDO/Proofpoint)Nice-to-have: Terraform/Ansible, message queues (Event Hub/Kafka/SQS), simple UI/ChatOps front-ends______________________________________________________________________________________________________________________Intitulé du posteIngénieur/e principal en automatisationRésuméNous recherchons un/e Ingénieur/e principal en automatisation (P5) pour concevoir, livrer et faire évoluer des automatisations qui alimentent nos plateformes et opérations de cybersécurité. Vous serez responsable de la stratégie et de l’exécution de l’automatisation à travers les flux SIEM, SOAR, endpoints, gestion des vulnérabilités et sécurité cloud — en éliminant les tâches manuelles, en standardisant les déploiements et en intégrant la fiabilité dans nos opérations.Note:Poste à distance, mais le candidat doit résider dans un rayon de 50 km de l’une des localisations suivantes : Mississauga, Ontario, Saint-Laurent, Québec, Calgary, Alberta, Vancouver, Colombie-BritanniqueCe que vous ferezDéfinir et piloter la feuille de route d’automatisation alignée sur les runbooks des plateformes et les objectifs trimestriels ; prioriser les cas d’usage à forte valeur ajoutée qui réduisent l’effort manuel et améliorent la rapidité/la qualité.Concevoir, implémenter et maintenir des playbooks, micro-services et scripts en Python pour l’enrichissement, la prise de décision, la remédiation et la collecte de preuves.Fournir des capacités en libre-service (CLI/ChatOps/UI) permettant aux équipes plateformes et SOC/IR d’exécuter des actions standardisées de manière sûre et répétée.Développer des intégrations API robustes entre les outils de sécurité et les systèmes d’entreprise (ex. SIEM/SOAR, endpoints, scanners de vulnérabilités, ServiceNow/tickets, CMDB, identité, services cloud).Mettre en œuvre des workflows CI/CD (GitHub Actions/Azure DevOps/GitLab CI), la promotion des environnements, la gestion des secrets et la sécurité des rollback pour le code d’automatisation.Ajouter de l’observabilité à l’automatisation (logs structurés, métriques, traces, alertes) ; suivre le succès/échec des playbooks, la latence et les budgets d’erreurs.Agir en tant que leader technique pour les initiatives d’automatisation ; encadrer les ingénieurs sur Python, les modèles d’intégration et le CI/CD.Collaborer étroitement avec SOC/IR, Ops plateformes, Cloud/Infra et GRC pour aligner l’automatisation sur les besoins opérationnels, de résilience et de conformité.Ce que vous apportezExpertise avancée en Python (conception de packages/services maintenables, modèles asynchrones, tests, packaging, gestion des dépendances).Expérience pratique dans la création d’intégrations API (REST/GraphQL), la gestion des flux d’authentification (OAuth2, JWT) et la manipulation de JSON/logs structurés.Compétences démontrées en DevOps : pipelines CI/CD, versioning des artefacts, orchestration des releases et familiarité avec les conteneurs (Docker).Expérience pratique dans au moins deux domaines sécurité/plateformes (ex. SIEM/SOAR, endpoint/EDR, gestion des vulnérabilités, sécurité email/données, sécurité cloud).Excellentes compétences en communication et historique de livraisons fiables d’automatisations améliorant les opérations de manière mesurable.Exigences minimalesDiplôme ou équivalent et généralement 10+ années d’expérience pertinente. Moins d’années requises si titulaire d’un Master ou Doctorat pertinent.Compétences et expériences souhaitéesExpérience avec Terraform ou Ansible pour le provisioning/la configuration.Familiarité avec les modèles événementiels (webhooks, files de messages) et les environnements serverless.Expérience dans l’optimisation des coûts/débits pour les pipelines de données ou l’ingestion des plateformes de sécurité.Aisance avec le développement front-end basique pour des outils internes en libre-service (ex. interfaces légères, ChatOps).Indicateur de succèsRéduction des tâches manuelles et amélioration des délais d’exécution pour les workflows automatisés.Taux de succès des playbooks, latence et réduction des escalades manuelles.Couverture de l’automatisation sur les plateformes prioritaires (ex. % d’alertes triées/enrichies automatiquement, % de changements standard automatisés).Fiabilité des déploiements (succès des pipelines, préparation des rollback, réduction des incidents liés aux changements).Qualité et exhaustivité des preuves prêtes pour audit générées automatiquement par les jobs d’automatisation.Outils et environnementLangage : Python (principal)DevOps : GitHub/GitHub Actions ou Azure DevOps ; builds de conteneurs ; gestion des secrets (ex. Key Vault/Secrets Manager)Intégrations : APIs REST/GraphQL, ServiceNow/CMDB, plateformes d’identité, SDKs des fournisseurs cloudPlateformes de sécurité : SIEM/SOAR (ex. Splunk, Cortex XSIAM/XSOAR), EDR (ex. SentinelOne/Defender), gestion des vulnérabilités (ex. Rapid7/Tenable), sécurité email/données (ex. MDO/Proofpoint)Nice-to-have : Terraform/Ansible, files de messages (Event Hub/Kafka/SQS), front-ends simples UI/ChatOpsWe are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.Our Base Pay Range for this position$113,500 - $189,100McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.McKesson job postings are posted on our career site: careers.mckesson.com.McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Join us at McKesson!

Job DescriptionWhy Choose Us:We are Waste Connections of Canada, an integrated services company that provides solid waste collection, transfer, disposal and recycling services to local residents and businesses throughout the U.S. and Canada. We’re proud to be a different kind of company with a different kind of culture. One where self-directed, empowered employees have our trust and full support to realize their potential as they strive to make a bigger and better impact on their communities and careers every day.Our priority is to make sure we hire mechanics that care about the safety of our drivers and the service provided to the community. As a mechanic with us the minimum responsibilities are:Perform repairs and inspections, safety checks, diagnosis and repair of electrical, hydraulic, suspension, brake and air systems on diesel vehicles.Utilize vehicle computer electrical systems to interpret failure modes to identify and adjust Engine and Vehicle Control modulesRespond to road calls for emergency repairsReviewing, completing or assigning repairs identified on driver Vehicle Inspection Reports.Completing required paperwork utilizing fleet maintenance software programs.Test driving trucks after services and repairsHelping other team members with repairs as neededHaving professional and courteous interactions with our drivers when needed.Adhere to all SAFETY standards laid out by the Ministry of Transport, Ministry of environment as well as Waste Connections of Canada.Perform other miscellaneous job-related duties as assigned.What We Need From You:Licensed 310T Mechanic Proficiency in a variety of diesel vehicle diagnostic tools, preventative maintenance and repair.Basic tool set Valid Class DZ Or AZ or ability to obtain within 90 days of start of positionHydraulic experience is a plusMust be able to pass all pre-employment requirementsWhat You’ll Get From Us:$42-48 per hour for Licensed 310T MechanicsRetirement Plan with company match; let us help you save for your futureBenefits; Medical, Dental, VisionPerks, perks, perks! Employee Assistant Program, Scholarship Opportunities for kids, Employee Stock Purchase PlanInsurance: Life, Short Term/Long Term DisabilityWe thank all applicants for their interest but advise only those selected for an interview will be contacted. Waste Connections of Canada may use artificial intelligence to screen, assess or select applicants for its positions but final hiring decisions are made with human oversight.Waste Connections of Canada is an Equal Opportunity Employer. All employment decisions (including but not limited to hiring) are made without regard to characteristics protected by federal, provincial, or local law, regulation, or ordinance.#ACMaintenance