Company Description NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. NBCUniversal est l'une des principales entreprises mondiales de médias et de divertissement. Nous créons du contenu de calibre mondial, que nous distribuons à travers notre portefeuille de cinéma, de télévision et de diffusion en continu, et que nous faisons vivre par le biais de nos destinations de parcs thématiques mondiaux, de nos produits de consommation et de nos expériences. Nous détenons et exploitons des marques de divertissement et d'information de premier plan, notamment NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo et Peacock, notre service de diffusion en continu haut de gamme financé par la publicité. Nous produisons et distribuons des œuvres cinématographiques et des contenus télévisuels de premier plan grâce à nos puissants studios de cinéma et de télévision, notamment Universal Pictures, DreamWorks Animation et Focus Features, ainsi qu'aux quatre studios de télévision mondiaux regroupés sous la bannière Universal Studio Group. Nous exploitons également des parcs thématiques et des expériences de calibre industriel à travers le monde par l'entremise de Universal Destinations & Experiences, notamment Universal Orlando Resort, domicile de Universal Epic Universe, et Universal Studios Hollywood. NBCUniversal est une filiale de Comcast Corporation. Visitez https://www.nbcuniversal.com pour plus d'information. Notre impact repose sur l'amélioration des communautés dans lesquelles nos employé• e• s, nos client• e• s et nos publics vivent et travaillent. Nous avons une riche tradition d'engagement communautaire et veillons à ce que nos employé• e• s aient l'occasion de servir leurs communautés. Nous défendons une culture inclusive et nous efforçons d'attirer et de développer une main-d'œuvre talentueuse afin de créer et de diffuser une vaste gamme de contenus reflétant la diversité de notre monde. Job Description Role Summary We are seeking a Reinforcement Learning Engineer with experience manipulating virtual environments to train autonomous agents. This role focuses on the design of robust simulation environments, reward structures, and policy architectures that can navigate complex, multi-sensor landscapes. Responsibilities - Cross-Functional Coordination: Work with partner ML and Annotation engineers and TPMs to spec out data, simulation, and training requirements. - Environment Design: Build and maintain high-fidelity 2D/3D simulation environments (using tools like Unity, Unreal, or Isaac Sim) that serve as the training ground for RL agents. - Reward Engineering: Design and tune complex reward functions that align agent behavior with product goals and safety constraints. - Algorithm Implementation: Develop and optimize RL algorithms (e.g., PPO, SAC, or Offline RL) capable of handling high-dimensional 3D observation spaces. - Sim-to-Real Strategy: Analyze the "reality gap" and implement domain randomization or adaptation techniques to ensure models perform reliably in real-world scenarios. Résumé du poste Nous recherchons une personne Ingénieur• e Forward Deployed en apprentissage par renforcement ayant de l'expérience dans la manipulation d'environnements virtuels pour entraîner des agents autonomes. Ce poste est axé sur la conception d'environnements de simulation robustes, de structures de récompense et d'architectures de politiques capables d'évoluer dans des environnements complexes et multi-capteurs Responsabilités - Coordination interfonctionnelle : Collaborer avec des personnes ingénieur• e• s en ML et en annotation ainsi qu'avec des TPM afin de définir les exigences en matière de données, de simulation et d'entraînement. - Conception d'environnements : Concevoir et maintenir des environnements de simulation 2D/3D haute fidélité (à l'aide d'outils tels que Unity, Unreal ou Isaac Sim) servant de terrain d'entraînement pour les agents d'apprentissage par renforcement. - Ingénierie des récompenses : Concevoir et ajuster des fonctions de récompense complexes afin d'aligner le comportement des agents avec les objectifs du produit et les contraintes de sécurité. - Implémentation d'algorithmes : Développer et optimiser des algorithmes d'apprentissage par renforcement (p. ex., PPO, SAC ou RL hors ligne) capables de gérer des espaces d'observation 3D de grande dimension. - Stratégie simulation-vers-réel : Analyser l'« écart de réalité » et mettre en œuvre des techniques de randomisation de domaine ou d'adaptation afin d'assurer des performances fiables des modèles en conditions réelles. Qualifications Basic Qualifications - Education: Graduate degree (Master's or PhD) in Robotics, Computer Science, AI, or a related field with a focus on Reinforcement Learning, Imitation Learning, or other Online Machine Learning fields. - Professional Experience: Proven experience as an RL Engineer or Research Engineer in a fast-paced environment. - Industry Context: Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace. - Technical Proficiency: - Core Tools: Fluency with Python, Git, and the Unix shell. - RL Frameworks: Deep familiarity with frameworks like Ray Rllib, Stable Baselines3, or CleanRL. - Physics & 3D Engines: Experience with physics engines (MuJoCo, Bullet) or 3D game engines. - Ecosystem: Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, and an experiment tracking framework. Desired Characteristics - Strong Mathematical Background: Essential for understanding Markov Decision Processes (MDPs) and gradient-based optimization. - High Attention to Detail: Critical for debugging non-deterministic agent behaviors and ensuring environment parity. Eligibility Requirements - Interested candidates must apply to be considered. - Must be willing to work in our Montreal office a minimum of 4 days a week. - Must be legally authorized to work in Canada. - Must be willing to travel for work related business, if necessary Qualifications de base - Formation : Diplôme de deuxième ou troisième cycle (maîtrise ou doctorat) en robotique, informatique, IA ou dans un domaine connexe, avec une spécialisation en apprentissage par renforcement, apprentissage par imitation ou autres domaines d'apprentissage automatique en ligne. - Expérience professionnelle : Expérience démontrée en tant que personne Ingénieur• e en apprentissage par renforcement ou Ingénieur• e de recherche dans un environnement dynamique. - Contexte industriel : Expérience préalable dans des secteurs regroupant des équipes multidisciplinaires complexes, tels que la robotique, les réseaux intelligents, l'agriculture de précision, le développement de jeux ou l'aérospatiale. - Compétences techniques : - Outils de base : Maîtrise de Python, Git et de l'environnement shell Unix. - Cadres RL : Solide expertise avec des frameworks tels que Ray Rllib, Stable Baselines3 ou CleanRL. - Moteurs physiques et 3D : Expérience avec des moteurs physiques (MuJoCo, Bullet) ou des moteurs de jeux 3D. - Écosystème : Familiarité avec des outils collaboratifs tels que Jira/Confluence, Slack, un serveur Git et un cadre de suivi des expériences. Atouts souhaités - Les personnes intéressées doivent soumettre leur candidature pour être considérées. - Doit être disposé• e à travailler dans notre bureau de Montréal au minimum 4 jours par semaine. - Doit être légalement autorisé• e à travailler au Canada. - Doit être disposé• e à voyager pour des besoins professionnels, au besoin Exigences d'admissibilité - Les personnes intéressées doivent soumettre leur candidature afin d'être considérées. - Doit être disposé• e à travailler dans nos bureaux de Montréal au minimum quatre (4) jours par semaine. - Doit être légalement autorisé• e à travailler au Canada. - Doit être disposé• e à se déplacer pour des raisons professionnelles, au besoin. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.

Senior Full Stack Engineer Job type: Full Time · Department: Engineering · Work type: Remote · USD 140,000-180,000 / year United States Job details The Company: Ilant Health is a value-based healthcare provider focused on cardiometabolic obesity, a group of interconnected conditions that drive over $700 billion in annual U.S. healthcare expenses. We are dedicated to increasing access to treatment while reducing the total cost of care for employers and payers. We are not just a provider, we are a technology-enabled practice driven by analytics. Our mission is to "de-average" care, using proprietary algorithms to match Members with the right interventions at the right time, while establishing habits that support treatment success and sustained outcomes. By combining clinical rigor with a consumer-grade digital experience, we drive life-changing outcomes and measurable ROI. We serve as the single, integrated front door for comprehensive care, delivering a full continuum of evidence-based solutions, spanning bariatric surgery, pharmacotherapy, and intensive behavioral therapy. Crucially, we personalize care for every Member through a dedicated multidisciplinary care team, empowered by our advanced digital platform. This ecosystem includes specialized tools for our providers and a fully accessible Member Portal (web and mobile) for our Members. The Role: The Senior Fullstack Engineer is a critical role responsible for developing core platform functionality. This includes creating tools to connect our Care Team with Members and building self-service options for Members. A key part of the role is defining the technical architecture and solutions necessary for efficient, rapid, and effective scaling. The goal is to deliver care to our Members that is easy, personalized, and highly effective. This role requires close collaboration with the engineering team, as well as with product and design, to successfully implement the defined product vision and roadmap. Key Responsibilities: - Delivery of full stack functionality on our solution that connects patients and clinicians through our web based portal and backend interfaces and APIs. - Support what is built, including monitoring, performance tuning, and responding to incidents. - Propose viable technical solutions to business needs that align with Ilant Health’s mission and values. - Contribute to the advisement of technical strategy, primarily related to architecting and scaling of current and new products. - Identify bottlenecks and implement improvements to processes, tools, and procedures. We’re early and the expectation of folks joining at this stage is that you’ll play a huge part in setting and improving how we work. - Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge sharing methods. Qualifications: - Experience being on a small to medium sized engineering team (3 - 8 people) to deliver consumer or business facing features in a fast-paced environment. - Proven ability to deliver full stack development directly delivering value to patients and providers using technologies like Python, Next.JS and Typescript. - Effectively communicate between teams and within teams in order to drive alignment and increase effectiveness on delivery. - Ability to deal with ambiguity, demonstrate ownership, and lend your expertise to guiding the technical product roadmap. - Proven ability to switch domains and tech stacks then add value on Day 1. - Our Tech Stack: - Language: React, Python, Next.js, Typescript - Systems: AWS, Amplify, ECS, Postgres Benefits and Perks: We believe great work happens when people are supported, trusted, and given the flexibility to thrive. Here’s what you can expect when you join our team: - Fully remote environment – work from anywhere while maintaining meaningful collaboration with a distributed team - Comprehensive health benefits – medical, dental, and vision coverage to support you and your family - Paid time off – 2 weeks of PTO to rest, recharge, and take the time you need - Flexible floating holiday – one additional day each year to celebrate what matters most to you - Paid sick leave – 5 sick days so you can prioritize your health when needed - 11 paid company holidays throughout the year - 401(k) retirement plan to help you invest in your future - Healthcare and Dependent Care FSA options for additional tax-advantaged savings

Staff Embedded Integration Engineer, Body Controls Palo Alto, California At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move. - Job Type: Full time - Work Type: Hybrid What you'll do... - Drive the evolution of body controls software architecture, crafting innovative solutions and defining hardware/software interfaces. - Orchestrate early-stage hardware and software integration, meticulously validating system performance against stringent requirements. - Translate high-level vehicle objectives into precise software specifications for body control systems. - Leverage field data insights to continuously refine and optimize the performance of body control systems. - Collaborate with validation teams to architect comprehensive test strategies for body control functionalities. - Diagnose and resolve intricate hardware/software interactions throughout the product lifecycle. - Assess the impact of design modifications on body control systems, synthesizing implications for hardware and software components. - Champion functional safety by executing DFMEA and HARA analyses for body control systems. - Provide expert guidance to cross-functional teams, steering technical decisions related to electrical, software, manufacturing, and mechanical aspects of body controls. - Facilitate cross-functional understanding of system interdependencies, ensuring seamless integration across vehicle domains. You'll have... - A technical degree in a relevant field (e.g., Mechatronics, Electrical Engineering, Computer Engineering, Systems Engineering). - Proficiency in C/C++ and familiarity with scripting languages (e.g., Python). - Exceptional problem-solving abilities in complex, networked embedded systems. - Demonstrated ability to interpret data for system optimization. - Familiarity with hardware and software development lifecycles. - Proven experience leading collaborative engineering projects. - Solid understanding of electrical engineering principles and mechatronic systems. - Experience with CAN and/or LIN communication protocols and associated tools. - Knowledge of DFMEA, HARA, and fault tree analysis methodologies. Even better, you may have... - Experience with a broad range of body control systems, including doors, trunk, frunk, windows, seating, lighting, mirrors, wipers, heaters, steering wheel controls, and other actuators and sensors. - Experience with vehicle software organizations and working with cross-functional teams. - Experience with overall functionality and performance of body controls systems throughout a product's lifecycle. - Experience with electric vehicle systems and architectures. - A passion for automotive technology and a desire to shape the future of vehicle experiences. As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day • Paid time off and the option to purchase additional vacation time. This position is leadership level 6 and ranges from $150,200-283,500. This position is hybrid (onsite four days per week) for candidates who are in commuting distance to a Ford hub location or remote for non-local candidates. #LI-Hybrid #LI-Remote

Senior Solution Engineer - Germany (Remote) - Solution Engineering - Full-time - Remote Have you ever wanted to help commerce teams unlock the full potential of artificial intelligence to drive relevance, conversion, and growth? As our Senior Solution Engineer - Commerce, you’ll partner closely with prospects to uncover their business and technical needs, frame the right solution, and demonstrate the unique value Coveo brings to modern digital commerce. You’ll join a collaborative Sales team that thrives on consultative selling, technical depth, and competitive excellence. If you enjoy translating complex technology into compelling business outcomes and winning alongside driven teammates, this role will feel like home. As one of our Senior Solution Engineers, you will: - Guide prospective customers in understanding, comparing, and evaluating Coveo’s Commerce solutions to support confident buying decisions. - Conduct deep technical and business discovery to assess fit, capture requirements, uncover risks, and respond to technical and security-related questions throughout the evaluation process. - Build and deliver tailored, competitive demos that highlight relevant commerce capabilities, key differentiators, and measurable business value. - Lead the technical components of Proofs of Concept, collaborating cross-functionally to deliver solutions aligned with complex ecommerce use cases. - Act as the technical owner for RFIs and RFPs, ensuring responses are accurate, compelling, and strategically position Coveo in competitive environments. - Serve as a trusted commerce advisor and Coveo evangelist by providing strategic guidance and representing Coveo at select conferences, industry events, and customer engagements. Here is what will qualify you for the role: - 8+ years of experience in the field as Presales / Sales Engineer/ Solution Consultant. Strong demo, POC and competitive benchmarking practices are part of your approach. You regularly represent the voice of the customer with product management. - You may also have moved from Professional Services. You are great at scoping a project and determining key drivers to win a deal - Commerce platform expertise (B2B or B2C) with technical and business requirements discovery experience in an ecommerce context. i.e. SAP, Salesforce, Magento, Shopify; CMS experience is a plus. - AI/ML expertise with Search and Commerce related models (e.g. query suggestions, product recommendation models, generative answering, etc.). - Able to navigate medium to large organizations and global enterprise (roles and responsibilities, departments, etc) - Programming skills with Python and Javascript and experience with APIs (Postman) will be the right skillset to make you successful in this role. - Able to travel minimum 30% of the time.