L’opportunité
Êtes-vous une ingénieure ou un ingénieur en développement et exploitation (DevOps) visionnaire qui s’intéresse particulièrement à la mise en place d’infrastructures modernes grâce à l’automatisation, à l’infrastructure en tant que code (IaC) et aux pratiques CI/CD avancées? Au sein de l’équipe IT Engineering de Unity Technologies, vous jouerez un rôle central dans l’évolution de notre environnement multinuagique mondial.

Ce rôle comprend la conception et la gestion de solutions conteneurisées à haute disponibilité, avec un fort accent sur Kubernetes (en particulier GKE), ainsi que l’intégration d’outils d’IA pour accroître l’efficacité. Votre expertise façonnera directement l’infrastructure dynamique des TI, qui permet aux équipes d’ingénierie de Unity de créer des logiciels novateurs utilisés par des millions de développeuses et développeurs dans le monde. Vous ferez partie d’une équipe performante, répartie sur plusieurs régions, qui se consacre à l’innovation continue et à l’automatisation de nos systèmes et qui établit des standards élevés d’excellence.

Si vous n’avez pas peur de retrousser vos manches et que vous aimez relever de nouveaux défis au sein d’une entreprise de renommée mondiale, nous voulons vous rencontrer!

Ce que vous allez faire

• Concevoir, mettre en œuvre et maintenir une infrastructure infonuagique évolutive en appliquant les principes d’infrastructure en tant que code (IaC).
• Créer des applications conteneurisées et gérer des grappes Kubernetes, avec un accent sur Google Kubernetes Engine (GKE).
• Concevoir et tenir à jour des pipelines CI/CD robustes à l’aide d’outils modernes comme ArgoCD, GitHub Actions et Jenkins afin de permettre des déploiements rapides.
• Automatiser l’ensemble des volets de l’infrastructure et des opérations TI afin de réduire le travail manuel, d’améliorer la fiabilité et d’optimiser l’expérience des utilisateurs.
• Explorer et implémenter des outils d’IA pour améliorer l’efficacité opérationnelle, la sécurité et les capacités de maintenance prédictive.

Ce que nous recherchons

• Expertise de Kubernetes (GKE) et des technologies de conteneurisation.
• Expérience éprouvée avec des outils d’infrastructure en tant que code (IaC) (p. ex. Terraform et Ansible).
• Maîtrise des méthodologies et des outils CI/CD (ArgoCD, GitHub Actions, Jenkins).
• Solide expérience de travail dans un environnement infonuagique (GCP, AWS ou Azure).
• Capacité à rédiger du code de haute qualité, prêt pour la production, dans des langages comme Python ou Golang pour l’automatisation et le développement de services.

Vous avez peut-être également

• Une expérience en développement ou en intégration d’outils d’IA/AA (ML).
• Une connaissance des pratiques modernes d’observabilité, incluant la journalisation avancée, les métriques et l’alertage, par exemple Elastic Stack (Elasticsearch, Kibana) et Prometheus/Grafana.
• Une expertise en dépannage avancé et en optimisation de performance de services complexes exécutés dans des environnements de production Linux à fort volume de trafic.
• Une connaissance des services infonuagiques natifs et disposer d’une expérience en automatisation d’infrastructures de bases de données SQL/NoSQL.
• Un sens solide des responsabilités pour mettre en place des feuilles de route et des initiatives techniques, et d’excellentes aptitudes de collaboration au sein d’une équipe répartie sur plusieurs régions.

Information supplémentaire

• Le support à la relocalisation n’est pas disponible pour ce poste
• Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste

Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.

Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.

Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons

La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.

Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.

Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.

Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.

Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.

La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.

The opportunity
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies IT Engineering, you will be pivotal in evolving our global, multi-cloud environment.

This includes architecting and managing highly available, containerized solutions, with a strong emphasis on Kubernetes (specifically GKE), and integrating AI tooling to enhance efficiency. Your expertise will directly shape the dynamic IT infrastructure that empowers Unity’s engineering teams to create groundbreaking software utilized by millions of developers worldwide. You will be part of a high-performing, multi-region team dedicated to continuous innovation and automation of our systems, setting a high standard for excellence.

If you’re not afraid to roll up your sleeves and enjoy new challenges supporting a globally leading company, we are looking for you!

What you'll be doing

• Designing, implementing, and maintaining scalable cloud infrastructure using Infrastructure-as-Code (IaC) principles.
• Building containerized applications and managing Kubernetes clusters, with a focus on Google Kubernetes Engine (GKE).
• Developing and maintaining robust CI/CD pipelines using modern tools like ArgoCD, GitHub Actions, and Jenkins for rapid deployment.
• Driving automation across all aspects of the IT infrastructure and operations to minimize manual effort, improve reliability and improve the user experience.
• Exploring and implementing AI tooling to enhance operational efficiency, security, and predictive maintenance capabilities.

What we're looking for

• Expertise with Kubernetes (GKE) and containerization technologies.
• Proven experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform and Ansible.)
• Deep understanding of CI/CD methodologies and tools (ArgoCD, GitHub Actions, Jenkins).
• Strong background working in a cloud environment (GCP, AWS, or Azure).
• Ability to write high-quality, production-grade code in languages like Python or Golang for automation and service development.

You might also have

• Experience with developing or integrating AI/ML tooling.
• Familiarity with modern Observability practices, including robust logging, metrics, and alerting, e.g. Elastic Stack (Elasticsearch, Kibana) and Prometheus/Grafana.
• Expertise in advanced troubleshooting and performance optimization of complex services running in high-traffic Linux-based production environments.
• Familiarity with cloud-native services and experience with SQL/NoSQL database infrastructure automation.
• Strong ownership mindset to drive technical roadmaps and initiatives, coupled with excellent collaboration skills to work effectively within a multi-region team.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-SA1

L’opportunité
Êtes-vous une ingénieure ou un ingénieur en développement et exploitation (DevOps) visionnaire qui s’intéresse particulièrement à la mise en place d’infrastructures modernes grâce à l’automatisation, à l’infrastructure en tant que code (IaC) et aux pratiques CI/CD avancées? Au sein de l’équipe IT Engineering de Unity Technologies, vous jouerez un rôle central dans l’évolution de notre environnement multinuagique mondial.

Ce rôle comprend la conception et la gestion de solutions conteneurisées à haute disponibilité, avec un fort accent sur Kubernetes (en particulier GKE), ainsi que l’intégration d’outils d’IA pour accroître l’efficacité. Votre expertise façonnera directement l’infrastructure dynamique des TI, qui permet aux équipes d’ingénierie de Unity de créer des logiciels novateurs utilisés par des millions de développeuses et développeurs dans le monde. Vous ferez partie d’une équipe performante, répartie sur plusieurs régions, qui se consacre à l’innovation continue et à l’automatisation de nos systèmes et qui établit des standards élevés d’excellence.

Si vous n’avez pas peur de retrousser vos manches et que vous aimez relever de nouveaux défis au sein d’une entreprise de renommée mondiale, nous voulons vous rencontrer!

Ce que vous allez faire

• Concevoir, mettre en œuvre et maintenir une infrastructure infonuagique évolutive en appliquant les principes d’infrastructure en tant que code (IaC).
• Créer des applications conteneurisées et gérer des grappes Kubernetes, avec un accent sur Google Kubernetes Engine (GKE).
• Concevoir et tenir à jour des pipelines CI/CD robustes à l’aide d’outils modernes comme ArgoCD, GitHub Actions et Jenkins afin de permettre des déploiements rapides.
• Automatiser l’ensemble des volets de l’infrastructure et des opérations TI afin de réduire le travail manuel, d’améliorer la fiabilité et d’optimiser l’expérience des utilisateurs.
• Explorer et implémenter des outils d’IA pour améliorer l’efficacité opérationnelle, la sécurité et les capacités de maintenance prédictive.

Ce que nous recherchons

• Expertise de Kubernetes (GKE) et des technologies de conteneurisation.
• Expérience éprouvée avec des outils d’infrastructure en tant que code (IaC) (p. ex. Terraform et Ansible).
• Maîtrise des méthodologies et des outils CI/CD (ArgoCD, GitHub Actions, Jenkins).
• Solide expérience de travail dans un environnement infonuagique (GCP, AWS ou Azure).
• Capacité à rédiger du code de haute qualité, prêt pour la production, dans des langages comme Python ou Golang pour l’automatisation et le développement de services.

Vous avez peut-être également

• Une expérience en développement ou en intégration d’outils d’IA/AA (ML).
• Une connaissance des pratiques modernes d’observabilité, incluant la journalisation avancée, les métriques et l’alertage, par exemple Elastic Stack (Elasticsearch, Kibana) et Prometheus/Grafana.
• Une expertise en dépannage avancé et en optimisation de performance de services complexes exécutés dans des environnements de production Linux à fort volume de trafic.
• Une connaissance des services infonuagiques natifs et disposer d’une expérience en automatisation d’infrastructures de bases de données SQL/NoSQL.
• Un sens solide des responsabilités pour mettre en place des feuilles de route et des initiatives techniques, et d’excellentes aptitudes de collaboration au sein d’une équipe répartie sur plusieurs régions.

Information supplémentaire

• Le support à la relocalisation n’est pas disponible pour ce poste
• Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste

Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.

Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.

Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons

La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.

Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.

Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.

Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.

Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.

La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.

The opportunity
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies IT Engineering, you will be pivotal in evolving our global, multi-cloud environment.

This includes architecting and managing highly available, containerized solutions, with a strong emphasis on Kubernetes (specifically GKE), and integrating AI tooling to enhance efficiency. Your expertise will directly shape the dynamic IT infrastructure that empowers Unity’s engineering teams to create groundbreaking software utilized by millions of developers worldwide. You will be part of a high-performing, multi-region team dedicated to continuous innovation and automation of our systems, setting a high standard for excellence.

If you’re not afraid to roll up your sleeves and enjoy new challenges supporting a globally leading company, we are looking for you!

What you'll be doing

• Designing, implementing, and maintaining scalable cloud infrastructure using Infrastructure-as-Code (IaC) principles.
• Building containerized applications and managing Kubernetes clusters, with a focus on Google Kubernetes Engine (GKE).
• Developing and maintaining robust CI/CD pipelines using modern tools like ArgoCD, GitHub Actions, and Jenkins for rapid deployment.
• Driving automation across all aspects of the IT infrastructure and operations to minimize manual effort, improve reliability and improve the user experience.
• Exploring and implementing AI tooling to enhance operational efficiency, security, and predictive maintenance capabilities.

What we're looking for

• Expertise with Kubernetes (GKE) and containerization technologies.
• Proven experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform and Ansible.)
• Deep understanding of CI/CD methodologies and tools (ArgoCD, GitHub Actions, Jenkins).
• Strong background working in a cloud environment (GCP, AWS, or Azure).
• Ability to write high-quality, production-grade code in languages like Python or Golang for automation and service development.

You might also have

• Experience with developing or integrating AI/ML tooling.
• Familiarity with modern Observability practices, including robust logging, metrics, and alerting, e.g. Elastic Stack (Elasticsearch, Kibana) and Prometheus/Grafana.
• Expertise in advanced troubleshooting and performance optimization of complex services running in high-traffic Linux-based production environments.
• Familiarity with cloud-native services and experience with SQL/NoSQL database infrastructure automation.
• Strong ownership mindset to drive technical roadmaps and initiatives, coupled with excellent collaboration skills to work effectively within a multi-region team.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-SA1

The opportunity
At Unity, we’re committed to building a culture that fosters collaboration and innovation. Within our fast-paced environment, we’re tackling complex challenges that drive meaningful impact for creators and users across our ecosystem.

Our Vector AI team plays a crucial role in shaping the future of Unity’s monetization products. We are seeking a Senior Backend Engineer (Distributed Systems) to scale the next generation of high-scale inference systems for Unity Ads.

In this role, you will be responsible for designing, developing, and maintaining the backend infrastructure that powers our large-scale advertising models, with a focus on the performance, reliability, and scalability of inference systems. You will collaborate closely with machine learning research, product, and engineering teams to build and operate the critical services that support our advertising capabilities.

What you'll be doing

• Design, develop, and deploy scalable, high-performance, and production-grade backend services and distributed systems to support large-scale model inference.
• Contribute significantly to the technical roadmap and design of our inference platform, focusing on low-latency, high-throughput services.
• Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana.
• Partner cross-functionally with data science, product, and engineering teams to align platform capabilities with strategic business goals.
• Manage and optimize our cloud infrastructure (GCP) and orchestrate workloads with Kubernetes.
• Promote and implement best practices for backend service development, testing, deployment, and monitoring (DevOps, SRE).

What we're looking for

• Background in Software Engineering or a related technical field.
• Extensive hands-on experience designing, deploying, and maintaining distributed systems at scale, including managing cloud infrastructure on GCP and orchestrating workloads with Kubernetes.
• Expertise in Golang for building high-performance, low-latency systems and infrastructure.
• Deep experience with monitoring and observability tools (e.g., Prometheus, Grafana).
• Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices.
• Excellent communication and collaboration skills, with an ability to articulate technical concepts to both technical and non-technical audiences.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are looking for an HPC Specialist to join our AI and Multi Asset Systematic Strategies team. This team builds and operates GPU infrastructure that powers AI and ML workloads. You'll work on the infrastructure stack from bare metal to model serving, combining systems engineering, performance optimization, and infrastructure automation to solve complex problems at the intersection of hardware, networking, and distributed systems.

Responsibilities:

• Deploy, maintain, and optimize GPU infrastructure for large-scale LLM inference workloads, including provisioning, configuration, and deployment of GPU server fleets.
• Architect and implement distributed serving solutions for multi-node, multi-GPU model deployments.
• Manage GPU-enabled Kubernetes clusters for LLM and ML workloads.
• Configure network infrastructure including load balancers, firewalls, and inter-node communication for GPU clusters.
• Implement and optimize storage solutions for model weights and inference caches.
• Troubleshoot performance bottlenecks across the stack: hardware, drivers, networking, and application layer.
• Research and evaluate emerging GPU technologies, model serving frameworks, and infrastructure optimizations.
• Collaborate with ML engineers to profile model performance and implement inference acceleration techniques.
• Drive reliability improvements through monitoring, alerting, capacity planning, and incident response.

Requirements:

• Bachelor's or Master's degree in Computer Science, Systems Engineering, or related field.
• 5+ years in DevOps, SRE, or infrastructure engineering roles.
• Strong experience with GPU infrastructure, model serving frameworks (vLLM, SGLang), and GPU driver management.
• Hands-on experience optimizing deep learning workloads (inference or training) on GPU clusters.
• Deep Linux systems knowledge including network configuration, storage optimization, and Kubernetes orchestration.
• Experience with infrastructure as code tools (Ansible, Terraform, or similar).
• Strong understanding of distributed systems, networking protocols (TCP/IP, HTTP/2), and load balancing.
• Proficiency in Python and Bash scripting for automation.
• Experience with monitoring and observability tools (Prometheus, Grafana, or similar).

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-KS1] 

DRW est une société de négoce diversifiée avec plus de 3 décennies d'expérience qui réunit une technologie sophistiquée et des personnes exceptionnelles pour opérer sur les marchés du monde entier. Nous valorisons l'autonomie et la capacité à pivoter rapidement pour saisir les opportunités, c'est pourquoi nous opérons en utilisant notre propre capital et en négociant à nos propres risques.

Basée à Chicago et disposant de bureaux aux États-Unis, au Canada, en Europe et en Asie, nous négocions diverses catégories d'actifs, notamment les titres à revenu fixe, les FNB, les actions, les devises, les matières premières et l'énergie sur les principaux marchés mondiaux. Nous avons également tiré parti de notre expertise et de notre technologie pour nous développer dans trois stratégies non traditionnelles : l'immobilier, le capital-risque et les crypto-actifs.

Nous opérons avec respect, curiosité et ouverture d'esprit. Les personnes qui s'épanouissent ici partagent notre conviction que ce n'est pas seulement ce que nous faisons qui compte - c'est la façon dont nous le faisons. DRW est un lieu d'attentes élevées, d'intégrité, d'innovation et de volonté de remettre en question le consensus.

Nous recherchons un spécialiste CHP pour rejoindre notre équipe IA et stratégies systématiques multi-actifs. Cette équipe conçoit et exploite une infrastructure GPU qui alimente des charges de travail en IA et en apprentissage automatique. Vous travaillerez sur l’ensemble de la pile d’infrastructure, du matériel bare metal jusqu’au déploiement de modèles, en combinant ingénierie des systèmes, optimisation des performances et automatisation de l’infrastructure afin de résoudre des problèmes complexes à l’intersection du matériel, des réseaux et des systèmes distribués. 

Responsabilités :

• Déployer, maintenir et optimiser l’infrastructure GPU pour des charges de travail d’inférence LLM à grande échelle, incluant le provisionnement, la configuration et le déploiement de flottes de serveurs GPU.
• Concevoir et mettre en œuvre des solutions de serving distribuées pour des déploiements de modèles multi-nœuds et multi-GPU.
• Gérer des clusters Kubernetes avec support GPU pour des charges de travail LLM et ML.
• Configurer l’infrastructure réseau, incluant les load balancers, pare-feu et la communication inter-nœuds pour les clusters GPU.
• Mettre en œuvre et optimiser des solutions de stockage pour les poids des modèles et les caches d’inférence.
• Diagnostiquer les goulets d’étranglement en matière de performance à tous les niveaux : matériel, pilotes, réseau et couche applicative. Rechercher et évaluer les nouvelles technologies GPU, les frameworks de serving de modèles et les optimisations d’infrastructure.
• Collaborer avec les ingénieurs ML pour profiler les performances des modèles et mettre en œuvre des techniques d’accélération de l’inférence. Améliorer la fiabilité via la supervision, les alertes, la planification de capacité et la gestion des incidents.

Exigences :

• Licence ou maîtrise en informatique, ingénierie des systèmes ou domaine connexe.
• Plus de 5 ans d’expérience en DevOps, SRE ou ingénierie d’infrastructure.
• Solide expérience avec l’infrastructure GPU, les frameworks de serving de modèles (vLLM, SGLang) et la gestion des pilotes GPU. 
• Expérience pratique dans l’optimisation de charges de travail en "deep learning" (inférence ou entraînement) sur des clusters GPU.
• Connaissance approfondie des systèmes Linux, incluant la configuration réseau, l’optimisation du stockage et l’orchestration Kubernetes.
• Expérience avec des outils d’infrastructure as code (Ansible, Terraform ou équivalent). Bonne compréhension des systèmes distribués, des protocoles réseau (TCP/IP, HTTP/2) et du load balancing.
• Maîtrise de Python et des scripts Bash pour l’automatisation.
• Expérience avec des outils de monitoring et d’observabilité (Prometheus, Grafana ou équivalent).
• Si tu veux, je peux aussi adapter la traduction pour qu’elle soit plus simple ou plus naturelle pour une offre au Québec (ex : termes locaux, ton plus marketing, etc.).

Ce que DRW Montréal a à vous offrir:

• Reconnue comme l'un des meilleurs employeurs au Canada depuis 8 ans
• Engagement en faveur de la formation et du développement continus
• Un ensemble d'avantages et de bénéfices à la pointe de l'industrie
• Centré sur le bien-être des employés et l'équilibre entre vie professionnelle et vie privée
• Initiatives communautaires, programme de volontariat et possibilités de redonner

Découvrez tous nos avantages à: https://drw.com/fr/work-at-drw/avantages-montreal

Pour plus d'informations sur les activités de traitement de DRW et sur l'utilisation que nous faisons des données des postulants, veuillez lire notre Politique de confidentialité ici https://drw.com/fr/politique-de-confidentialite/.

Résidents de la Californie, veuillez consulter l’avis de confidentialité de la Californie pour obtenir des informations sur certains droits légaux ici https://drw.com/fr/politique-de-confidentialite-californie.

* Le masculin est utilisé sans discrimination dans le seul but d’alléger le texte.

[#LI-KS1] 

Concevoir, développer et optimiser des modèles d’apprentissage automatique qui alimentent les décisions fondées sur les données

Le rôle
Nous sommes à la recherche d’un ingénieur en apprentissage automatique pour se joindre à une équipe collaborative qui livre des solutions avancées d’analytique et d’IA dans le secteur des services financiers. Ce rôle met l’accent sur le cycle de vie complet des modèles d’apprentissage automatique — de la développement et l’expérimentation au déploiement, à la surveillance et à l’amélioration continue — ainsi que sur l’application de techniques d’IA générative.

Ce que vous ferez

• Concevoir, développer et maintenir des modèles d’apprentissage automatique pour résoudre des problèmes d’affaires critiques
• Assumer des responsabilités clés dans le cycle de vie des modèles, notamment l’ingénierie des caractéristiques, l’ajustement, l’évaluation et la calibration
• Appliquer l’analytique prédictive et des techniques de conception de requêtes pour extraire des insights à partir de jeux de données complexes
• Effectuer des tests de modèles, des benchmarks et un suivi continu de la performance
• Collaborer avec les parties prenantes pour traduire les besoins d’affaires en solutions d’AA évolutives

Ce que nous recherchons

• Plus de 5 ans d’expérience dans des rôles en apprentissage automatique ou en science des données
• Excellentes compétences en développement Python avec expérience pratique de la création de modèles d’AA
• Solide compréhension des concepts d’apprentissage automatique, du cycle de vie des modèles et des meilleures pratiques
• Expérience avec les grands modèles de langage (LLM), l’IA générative et la conception de requêtes
• Solides compétences analytiques et en communication, avec la capacité de travailler auprès des équipes techniques et d’affaires

Atouts

• Expérience en gestion de patrimoine ou dans les services financiers (souhaitée, mais non obligatoire)
• Connaissance du déploiement, de la surveillance et du réentraînement de modèles en environnements de production
• Expérience avec des plateformes d’AA infonuagiques ou des solutions de données évolutives
• Expérience avec des outils d’automatisation ou d’optimisation des flux de travail
• Expérience de travail au sein d’équipes agiles ou interfonctionnelles
• Maîtrise du français et de l’anglais
• Étant donné que la majorité de nos clients et collègues sont situés à l’extérieur du Québec et du Canada, des exigences linguistiques particulières peuvent s’appliquer et une maîtrise professionnelle de l’anglais est requise.

Pourquoi joindre Capco

• Livrer des solutions technologiques à fort impact pour des institutions financières de premier ordre
• Travailler dans une culture de consultation collaborative, horizontale et entrepreneuriale
• Accéder à de la formation continue, du perfectionnement et à des certifications reconnues dans l’industrie
• Faire partie d’une équipe qui façonne l’avenir des services financiers numériques
• Contribuez à façonner l’avenir de la transformation numérique dans les secteurs des services financiers et de l’énergie

Nous offrons un régime d’avantages sociaux concurrentiel et axé sur les personnes, conçu pour soutenir tous les aspects de votre vie :

Avantages

• Couverture d’avantages complète – assurance santé, vie et invalidité entièrement payée par l’entreprise, en vigueur dès le premier jour d’emploi
• Programme d’épargne-retraite – Régime enregistré d’épargne-retraite (REER) avec option de cotisation de l’employeur
• Soins de santé virtuels – Programme payé par l’entreprise pour les employés et leurs personnes à charge
• Programme d’aide aux employés et à leur famille (PAEF) – Services de soutien confidentiels
• Soutien au mieux-être – Remboursement d’activités de mise en forme pour soutenir le bien-être

Transparence salariale

La fourchette salariale pour ce poste est indiquée ci-dessous. De plus, ce poste peut également être admissible à un paiement annuel de prime discrétionnaire/variable.

Capco s'engage à offrir une rémunération juste et équitable à son personnel. Nos politiques de rémunération et nos fourchettes salariales sont conçues pour permettre à nos employés de progresser dans la fourchette salariale à mesure qu'ils démontrent de solides performances et se développent dans leur rôle au fil du temps. Le salaire de base offert aux candidats retenus sera conforme à la fourchette salariale, et le placement variera en fonction de divers facteurs, y compris, mais sans s'y limiter, les connaissances, compétences, expérience et équité interne liées au poste.

CAD $118000 - CAD $152000

Utilisation de l’intelligence artificielle dans l’acquisition de talents
Chez Capco, nous utilisons des outils d’intelligence artificielle (IA) pour appuyer et améliorer plusieurs aspects de l’acquisition de talents. Cela comprend l’utilisation de fonctionnalités alimentées par l’IA dans LinkedIn pour aider à repérer des candidats potentiels, l’accélération des communications de recrutement courantes comme les courriels et la création d’offres d’emploi convaincantes, alignées sur la marque et reflétant fidèlement les exigences du poste, ainsi que des applications de planification par IA pour améliorer l’efficacité de la coordination des entrevues.
L’IA est utilisée uniquement comme outil d’appui. Toutes les décisions d’embauche sont prises par les équipes d’acquisition de talents et de recrutement.

Pourquoi ce poste est ouvert
Nous recrutons actuellement pour ce poste en raison d’un poste vacant existant ou nouvellement créé au sein de notre organisation. Ce poste est ouvert dans le cadre de nos besoins d’affaires continus, et nous examinons activement les candidatures afin de pourvoir ce rôle avec une personne qualifiée qui pourra avoir un impact immédiat.

Inclusion chez Capco
Nous nous engageons à rendre notre processus de recrutement accessible et simple pour tout le monde. Si vous avez besoin d’aménagements à n’importe quelle étape, faites-le-nous savoir — nous serons heureux de vous aider. Nous valorisons la perspective et la contribution uniques de chaque personne. Chez Capco, nous croyons qu’être soi-même est votre plus grande force. Notre culture #BeYourselfAtWork encourage l’individualité et la collaboration — un état d’esprit qui façonne notre façon de travailler avec nos clients et entre nous, chaque jour.

Chez Capco, nous utilisons des outils d’intelligence artificielle (IA) pour appuyer et améliorer plusieurs aspects de l’acquisition de talents. Cela comprend l’utilisation de fonctionnalités alimentées par l’IA dans LinkedIn pour aider à repérer des candidats potentiels, l’accélération des communications de recrutement courantes comme les courriels et la création d’offres d’emploi convaincantes, alignées sur la marque et reflétant fidèlement les exigences du poste, ainsi que des applications de planification par IA pour améliorer l’efficacité de la coordination des entrevues.
L’IA est utilisée uniquement comme outil d’appui. Toutes les décisions d’embauche sont prises par les équipes d’acquisition de talents et de recrutement.

Design, build, and optimize machine learning models that power data-driven decisions

The Role
We are seeking a Machine Learning Engineer to join a collaborative team delivering advanced analytics and AI solutions within financial services. This role focuses on the full lifecycle of machine learning models—from development and experimentation to deployment, monitoring, and continuous improvement—alongside the application of generative AI techniques.

What You’ll Do

• Design, develop, and maintain machine learning models to solve business-critical problems
• Own key aspects of the model lifecycle including feature engineering, tuning, evaluation, and calibration
• Apply predictive analytics and prompt engineering techniques to extract insights from complex datasets
• Perform model testing, benchmarking, and ongoing performance monitoring
• Collaborate with stakeholders to translate business requirements into scalable ML solutions

What We’re Looking For

• 5+ years of experience in machine learning or data science roles
• Proficient Python development skills with hands-on experience building ML models
• Strong understanding of machine learning concepts, model lifecycle, and best practices
• Experience with large language models (LLMs), generative AI, and prompt engineering
• Solid analytical and communication skills, with the ability to work across technical and business teams

Bonus Points For

• Experience in wealth management or financial services (preferred but not required)
• Familiarity with model deployment, monitoring, and retraining in production environments
• Experience with cloud-based ML platforms or scalable data solutions
• Exposure to workflow automation or optimization tools
• Experience working in agile or cross-functional teams
• Proficiency in French and English
• Given the majority of our clients and colleagues are located outside of Quebec and Canada, specific language requirements may apply and professional proficiency in English is required.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Benefits

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
• Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with the option of employer contribution
• Virtual Health Care – Company-paid program for employees and their dependents
• Employee & Family Assistance Program (EFAP) – Confidential support services
• Wellness Support – Fitness reimbursement to support wellbeing

Use of Artificial Intelligence in Talent Acquisition
At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.
AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open
We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.
AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

#LI-Hybrid

Concevoir et bâtir des solutions axées sur l’IA qui propulsent la prochaine génération de plateformes d’entreprise intelligentes.

Le poste

À titre d’ingénieur en IA, vous concevrez et développerez des solutions axées sur l’IA qui améliorent les plateformes numériques et permettent une prise de décision intelligente dans les environnements d’entreprise. En vous appuyant sur votre solide expérience en ingénierie logicielle, vous appliquerez des approches modernes en IA pour créer des systèmes évolutifs, adaptables et performants. Vous travaillerez en étroite collaboration avec des équipes interfonctionnelles, notamment Produit, Architecture et Ingénierie, afin de livrer des solutions innovantes alignées sur les besoins des clients.

Ce que vous ferez

• Concevoir et développer des applications et des services axés sur l’IA, en mettant à profit votre expertise de base en ingénierie logicielle
• Appliquer des approches modernes en IA/AA pour améliorer les capacités des systèmes et permettre l’automatisation intelligente
• Collaborer avec des équipes interfonctionnelles pour aligner les solutions d’IA sur les exigences commerciales et opérationnelles
• Contribuer à la conception des systèmes, à l’architecture et à l’intégration des composants d’IA dans les plateformes d’entreprise
• Soutenir l’amélioration continue par l’expérimentation, les tests et l’optimisation des performances des solutions d’IA

Ce que nous recherchons

• 5 à 8 ans d’expérience en développement logiciel dans divers langages de programmation modernes
• Transition démontrée vers la conception et le développement axés sur l’IA, avec application des concepts d’IA/AA à des solutions concrètes
• Solide compréhension des principes de conception axés sur l’IA et du développement de systèmes évolutifs
• Capacité à évaluer et à appliquer les technologies appropriées en fonction du contexte du problème
• Excellentes aptitudes en communication et capacité à collaborer avec des équipes techniques et non techniques

Atouts supplémentaires

• Expérience de travail avec des plateformes infonuagiques (p. ex., Azure) pour le déploiement de solutions d’IA
• Connaissance des pratiques MLOps et de la gestion du cycle de vie des modèles d’IA
• Expérience d’intégration de solutions d’IA dans des environnements d’entreprise ou de services financiers
• Expérience en ingénierie des données, en pipelines de données ou en traitement de données à grande échelle
• Compréhension de l’IA responsable, de la gouvernance des modèles et des pratiques éthiques en matière d’IA
• Maîtrise du français et de l’anglais
• Étant donné que la majorité de nos clients et collègues sont situés à l’extérieur du Québec et du Canada, des exigences linguistiques particulières peuvent s’appliquer et une maîtrise professionnelle de l’anglais est requise.

Pourquoi rejoindre Capco

• Livrer des solutions technologiques à fort impact pour des institutions financières de premier ordre
• Travailler dans une culture de consultation collaborative, horizontale et entrepreneuriale
• Accéder à de la formation continue, à de l’apprentissage et à des certifications de l’industrie
• Faire partie d’une équipe qui façonne l’avenir des services financiers numériques
• Aider à façonner l’avenir de la transformation numérique dans les services financiers et l’énergie.

Utilisation de l’intelligence artificielle dans l’acquisition de talents

Chez Capco, nous utilisons des outils d’intelligence artificielle (IA) pour soutenir et améliorer plusieurs volets de l’acquisition de talents. Cela inclut l’utilisation de fonctions compatibles avec l’IA dans LinkedIn pour aider à repérer des candidats potentiels, accélérer les communications de recrutement courantes comme les courriels et créer des offres d’emploi convaincantes, alignées sur la marque et reflétant avec exactitude les exigences du poste, ainsi que des applications de planification par IA pour améliorer l’efficacité de la coordination des entrevues.

L’IA est utilisée uniquement comme outil de soutien. Toutes les décisions d’embauche sont prises par les équipes d’acquisition de talents et de recrutement.

Pourquoi ce poste est ouvert

Nous recrutons actuellement pour ce poste en raison d’un poste vacant existant ou nouvellement créé au sein de notre organisation. Ce poste est ouvert dans le cadre de nos besoins opérationnels continus, et nous examinons activement les candidatures afin de pourvoir ce poste avec une personne qualifiée qui pourra avoir un impact immédiat.

Nous offrons un ensemble d’avantages concurrentiel et axé sur les personnes, conçu pour soutenir tous les aspects de votre vie :

Avantages

• Couverture d’avantages complète – Assurance santé, vie et invalidité payée à 100 % par l’entreprise, en vigueur dès le premier jour d’emploi
• Régime d’épargne-retraite – Régime enregistré d’épargne-retraite (REER) avec option de cotisation de contrepartie de l’employeur
• Soins de santé virtuels – Programme payé par l’entreprise offert à tous les employés et à leurs personnes à charge/conjoints
• Programme d’aide aux employés et à leur famille (PAEF) – Services de soutien payés par l’entreprise pour les employés et leurs personnes à charge/conjoints
• Cadeau pour nouveau parent – Cadeau offert par l’entreprise pour célébrer l’arrivée d’un nouvel enfant
• Soutien au mieux-être – Remboursement des frais de conditionnement physique pour favoriser la santé et le bien-être
• Coach d’affaires dès le premier jour : Encadrement personnalisé en tête-à-tête pour soutenir l’évolution de carrière, accélérer le développement et aider à atteindre vos objectifs professionnels chez Capco.

L’inclusion chez Capco

Nous nous engageons à rendre notre processus de recrutement accessible et simple pour tout le monde. Si vous avez besoin d’un accommodement à n’importe quelle étape, faites-le-nous savoir — nous serons heureux de vous aider. Nous valorisons le point de vue et la contribution uniques de chaque personne. Chez Capco, nous croyons qu’être soi-même est votre plus grande force. Notre culture #SoyezVousMêmeAuTravail encourage l’individualité et la collaboration — un état d’esprit qui façonne la façon dont nous travaillons avec nos clients et entre nous chaque jour.

Transparence salariale

La fourchette salariale pour ce poste est indiquée ci-dessous. De plus, ce poste peut également être admissible à un paiement annuel de prime discrétionnaire/variable.

Capco s'engage à offrir une rémunération juste et équitable à son personnel. Nos politiques de rémunération et nos fourchettes salariales sont conçues pour permettre à nos employés de progresser dans la fourchette salariale à mesure qu'ils démontrent de solides performances et se développent dans leur rôle au fil du temps. Le salaire de base offert aux candidats retenus sera conforme à la fourchette salariale, et le placement variera en fonction de divers facteurs, y compris, mais sans s'y limiter, les connaissances, compétences, expérience et équité interne liées au poste.

CAD $118000 - CAD $152000

Design and build AI-first solutions that power the next generation of intelligent enterprise platforms.

The Role

As an AI Engineer, you will design and develop AI-first solutions that enhance digital platforms and enable intelligent decision-making across enterprise environments. Building on your strong software engineering background, you will apply modern AI approaches to create scalable, adaptable, and high-performing systems. You will work closely with cross-functional teams including Product, Architecture, and Engineering to deliver innovative solutions aligned to client needs.

What You’ll Do

• Design and develop AI-first applications and services, leveraging your core software engineering expertise
• Apply modern AI/ML approaches to enhance system capabilities and enable intelligent automation
• Collaborate with cross-functional teams to align AI solutions with business and operational requirements
• Contribute to system design, architecture, and integration of AI components into enterprise platforms
• Support continuous improvement through experimentation, testing, and performance optimisation of AI solutions

What We’re Looking For

• 5–8 years of software development experience across modern programming languages
• Demonstrated transition into AI-focused design and development, applying AI/ML concepts in real-world solutions
• Strong understanding of AI-first design principles and scalable system development
• Ability to evaluate and apply appropriate technologies based on problem context
• Strong communication skills with the ability to collaborate across technical and non-technical teams

Bonus Points For

• Experience working with cloud platforms (e.g., Azure) for AI solution deployment
• Familiarity with MLOps practices and lifecycle management of AI models
• Experience integrating AI solutions into enterprise or financial services environments
• Exposure to data engineering, data pipelines, or large-scale data processing
• Understanding of responsible AI, model governance, and ethical AI practices.
• Proficiency in French and English
• Given the majority of our clients and colleagues are located outside of Quebec and Canada, specific language requirements may apply and professional proficiency in English is required.
•  

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Benefits

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
• Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with the option of receiving a matching employer contribution
• Virtual Health Care – Company-paid program available to all employees and their dependents/partners
• Employee & Family Assistance Program (EFAP) – Company-paid support services for employees and their dependents/partners
• New Parent Gift – A company-sponsored gift to celebrate the arrival of a new child
• Wellness Support – Fitness reimbursement benefit to promote health and well-being
• Business Coach from Day 1: Personalized one-on-one coaching to support career growth, accelerate development, and help achieve your professional goals at Capco.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

#LI-hybrid

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team

As a Senior Machine Learning Engineer – Camera Models, you will develop and deploy machine learning models that power camera-based perception for autonomous trucks. The Camera Models team builds and maintains core vision systems that enable the autonomy stack to understand the environment, detect and localize objects, and estimate scene structure from camera data.

Working closely with teams across perception, data, and infrastructure, you will own the development and improvement of robust, scalable camera-based models that support safe and reliable autonomous driving in real-world freight environments.

This role focuses on owning model development for scoped problem areas, improving system performance through iteration, and delivering production-ready machine learning solutions within the autonomy stack.

What You’ll Do

• Design, develop, and deploy deep learning models for camera-based perception (e.g., object detection, segmentation, depth estimation, scene understanding)
• Own end-to-end model development for scoped areas, from data curation and training to evaluation and deployment
• Write production-quality ML code to support scalable training, evaluation, and inference pipelines
• Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization
• Contribute to and improve large-scale training pipelines, including dataset preparation, distributed training, and experiment tracking
• Partner with data teams to improve dataset quality, including labeling strategies and coverage of edge cases
• Collaborate with perception, simulation, and validation teams to evaluate and integrate models into the autonomy stack
• Improve tooling, workflows, and infrastructure to accelerate experimentation and model iteration
• Contribute to model architecture decisions and technical discussions within the team
• Mentor junior engineers on implementation, debugging, and best practices

What You’ll Need to Succeed

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master’s degree with 3+ years OR PhD with 1+ years of experience
• Experience developing and deploying deep learning models for computer vision or perception systems
• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code
• Experience training and evaluating models using large-scale datasets and distributed compute environments
• Solid understanding of modern deep learning architectures used in perception (e.g., CNNs, transformers, multi-task models)
• Experience debugging model behavior, analyzing performance metrics, and improving model reliability
• Ability to translate ambiguous problems into structured ML solutions and deliver independently
• Experience collaborating cross-functionally to integrate ML models into larger autonomy or robotics systems

Bonus Points:

• Experience in autonomous driving, robotics, or simulation-based ML systems
• Experience with multi-task learning or unified perception architectures
• Experience with large-scale data pipelines, distributed training systems (e.g., Ray), or experiment management frameworks
• Familiarity with camera calibration, geometric reasoning, or 3D perception from images (e.g., BEV, monocular depth, structure-from-motion)
• Experience deploying ML models into production or real-world robotics systems

Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.

Perks of Being a Full-time Torc’r (Canada) 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 

• A competitive compensation package that includes a bonus component and stock options
• Medical, dental, and vision for full-time employees
• RRSP plan with a 6% employer match
• Public Transit Subsidy (Montreal area only)
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• Life Insurance 

 At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Job ID:  R-102584

About Behavox

Behavox is a cloud-native AI company providing an integrated controls platform for global banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management as well as front-office analytics on a single, AI-native technology stack, delivered as a globally scalable SaaS-based cloud service.

At Behavox, our engineering culture is built around speed, experimentation, and technical excellence, following agile principles and rapid iteration. We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast feedback loops and execution. We look for people who can move fast, challenge conventional wisdom, and who want to work at the frontier of modern AI, SaaS platforms, and distributed systems.

Behavox is a high-performance organisation with a strong bias toward delivery, ownership, and responsibility. We commit, and we execute. We are building systems that are complex, mission-critical, and global in scale; systems that many consider too large or too difficult. To do that, we seek the smartest, most technically capable engineers and technologists who take end-to-end responsibility and want to win by building what others cannot.

Founded in 2014 and backed by SoftBank Vision Fund, Behavox is headquartered in London, with offices worldwide, including New York City, Montreal, Seattle, Singapore, and Tokyo.

About the Role

The Software Engineer (Java) operates at a senior engineer level, driving technical direction across core product domains. The role combines deep hands-on Java engineering with architectural ownership — from high-level system design and technology selection to leading delivery of critical, cross-cutting platform capabilities.

At this level, engineering excellence extends beyond implementation: the engineer determines the right approach to complex problems, communicates technical decisions across functions, participates in hiring, and is accountable for the long-term health of the systems they own. This level demands sound judgment on technology and business trade-offs and the ability to act as a technical lead. A defining expectation is mastery of AI-assisted engineering — leveraging agentic AI tools as force multipliers while retaining full ownership of architecture, quality, and technical outcomes.

What You'll Bring

• Expert Java engineering: Deep understanding of Java internals — GC tuning, Collections Framework, advanced concurrency (java.util.concurrent, multithreading), NIO/NIO2, performance profiling, and heap-dump analysis. Mastery of Spring Framework (IoC/DI, bean lifecycle, Spring Boot). SOLID principles, Clean Code practices, and GoF design patterns
• Software architecture and design patterns: Expertise in monolith and microservices architectural styles — including migration patterns and domain-driven decomposition. Inter-process communication design (REST, gRPC, messaging), transaction management in distributed systems (Sagas, 2PC), CQRS, Event Sourcing, and external API design focused on scalability, security, and documentation
• Cloud-native platforms and infrastructure: Experience designing high-availability and high-load systems on GCP (preferred), AWS, and Azure. Cloud security best practices: IAM, VPC, data encryption, JWT/JWS/JWE. Infrastructure as Code (Terraform or equivalent) and Twelve-Factor App methodology
• Observability, reliability and deployment: Implementing full observability stacks: structured logging, distributed tracing, metrics, and alerting. SLI/SLO/SLA frameworks. Deployment strategies: Rolling Updates, Blue/Green Deployments, Canary Releases
• AI-assisted engineering: Practitioner-level command of agentic AI tools applied to software engineering — encompassing prompt engineering techniques, AI context management and its limitations, sub-agents, skills and plugins, multi-agent orchestration, and team-of-agents architectures. Experience with Claude Code (Anthropic), Codex (OpenAI), or equivalent is mandatory

What You'll Do

• Architecture and technology leadership: Lead high-level design for complex, cross-service features. Evaluate and select appropriate technologies, frameworks, and architectural patterns before delegating implementation. Produce and maintain architecture documentation: design docs, ADRs, tech specs, and wiki pages
• Advanced Java feature implementation: Own and implement critical product components — including prototyping, architecture validation, and production-grade code. Ensure correctness, performance, and long-term maintainability with comprehensive test coverage (unit, integration, contract, component)
• Technical roadmap contribution: Drive the engineering agenda for assigned product areas. Proactively identify gaps in requirements, architectural limitations, and technical risks. Contribute to product roadmap planning and delivery estimation. Participate in hiring processes
• Cross-functional technical communication: Drive technical communication across engineering, product, DevOps, and ML teams. Communicate technical decisions clearly to non-technical stakeholders. Produce design documents and participate in tech talks and knowledge-sharing sessions
• AI-augmented engineering: Direct agentic AI tools (Claude Code, Codex, or equivalent) across the full engineering workflow — code generation, testing, refactoring, debugging, and documentation. Demonstrated ability to apply advanced prompt engineering, manage AI context limitations, compose multi-agent orchestration workflows, and critically evaluate AI-generated outputs for correctness, security, and quality. Ability to establish guardrails and improve agent configurations to raise the quality bar. AI proficiency amplifies — it does not replace — deep engineering judgment and technical accountability

What We Offer

• The opportunity to work on a global, mission-critical AI platform alongside the best engineers and technologists across multiple geographies
• A role with real ownership and impact, building complex systems at scale in an environment that values speed, experimentation, and technical excellence
• A highly attractive benefits package, including competitive cash compensation, an equity award aligned with long-term value creation, and comprehensive health insurance for employees and their families
• Modern, comfortable offices in Montreal/ Toronto downtown, with an expectation of working from the office 1 day per week, reflecting our belief in strong in-person collaboration, while remaining flexible to accommodate remote work for candidates who live in other Canadian cities
• A generous time-off policy of 30 days annually, plus public holidays and sick leave, recognising the importance of sustained high performance

About Our Process

Our selection process is designed to rigorously assess a candidate’s depth of technical knowledge, problem-solving ability, and alignment with Behavox’s mission and core values.

As part of the process, candidates will first participate in a series of interviews focused on evaluating their technical expertise and engineering judgment. Candidates who successfully progress through these interviews will then be invited to complete a live technical exercise. The purpose of this live technical assessment is to validate the candidate’s stated technical competencies and assess their ability to solve complex problems with speed, accuracy, and sound engineering judgment. Note that whenever possible, we aim to conduct interviews in person at our offices.

We recognise and respect the time candidates invest in this process. In return, Behavox commits significant time and resources to ensure that those who join us have the capability, judgment, and alignment required to operate at the speed and level of complexity our work demands. We value efficiency and clarity on both sides; if at any point we determine that a candidate is not a fit, we reserve the right to immediately conclude the interview or the technical assessment.

Please note the following:

• A core objective of the process is to objectively assess individual knowledge and competencies. The use of AI tools or external assistance during live interviews or technical exercises is strictly prohibited (unless explicitly instructed otherwise) and will result in immediate disqualification.
• Interviews and technical sessions may be recorded for internal review to support fairness, consistency, and collaborative decision-making within the hiring team.

SUMMARY

As a Senior Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Enterprise Solutions Engineering Manager. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. 

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards,  product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meetups,  and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our channel customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting partners to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
• Ability to travel
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

SUMMARY

As a Senior Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Enterprise Solutions Engineering Manager. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. 

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards,  product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meetups,  and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our channel customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting partners to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
• Ability to travel
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

Meet the Team: 
As a Machine Learning Engineer II – Learned Behaviors, you will help develop and deploy  behavior models that power decision-making for autonomous trucks. Working closely with teams across perception, prediction, planning, and safety, you will contribute to learned behavior modules that enable safe, efficient, and human-like driving in real-world freight operations. 
 
This role focuses on building, validating, and improving machine learning models and infrastructure that support learned behavior systems within the autonomy stack. 
 
What You’ll Do 

• Develop and train machine learning models for learned behavior systems, including approaches such as behavior cloning, imitation learning, and reinforcement learning. 

• Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack. 

• Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across scenarios. 

• Contribute to model training pipelines and data workflows, curating behavior datasets from simulation, fleet logs, and on-vehicle data. 

• Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate learned behavior models across diverse driving environments. 

• Help integrate learned behavior models into simulation and testing workflows, enabling faster iteration and more comprehensive validation. 

• Support the development of tooling and infrastructure that improves experimentation speed, reproducibility, and model iteration. 

• Contribute to technical discussions around model architecture and training strategies within the team. 

 
 
 
 
What You’ll Need to Succeed 

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience. 

• Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments. 

• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code. 

• Experience training and evaluating machine learning models using large datasets and scalable compute environments. 

• Understanding of ML architectures used in autonomy systems, such as transformers, graph neural networks, or sequence models. 

• Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines. 

• Ability to collaborate with cross-functional teams to integrate ML models into larger software systems. 

 
 
Bonus Points! 

• Experience working in autonomous driving, robotics, or simulation-based training environments. 

• Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray). 

• Experience working with simulation environments or large-scale behavior datasets. 

• Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems. 

• Experience deploying ML models into production or real-world robotics systems. 

Hiring Range for Job Opening  

US Pay Range 

$153,200 - $183,300 USD 

Job ID: 102515

Meet the Team: 
As a Machine Learning Engineer II – Scene Model, you will help develop and deploy machine learning models that enable autonomous trucks to understand their surrounding environment. Our team focuses on building multi-modal perception systems in bird’s-eye-view (BEV) that fuse information from LiDAR, cameras, radar, and map inputs to produce a unified representation of the scene.  

Working closely with teams across perception, prediction, planning, and platform infrastructure, you will contribute to models that detect objects, understand road structure, and generate spatial temporal representations used by downstream autonomy systems.  

This role focuses on developing and improving deep learning models, training pipelines, and data workflows that power scene understanding within the autonomy stack. 

What You’ll Do 

• Develop and train machine learning models for scene understanding, including tasks such as object detection, road and lane prediction, semantic voxel grid classification, occupancy prediction, and map understanding in bird’s-eye-view (BEV) space. 

• Implement production-quality ML code to support model training, evaluation, and inference within the perception stack. 

• Analyze model performance, identify failure modes, and propose improvements to increase robustness across diverse driving environments and conditions. 

• Identify and interpret objects, lanes, obstacles, and weather conditions in the driving environment. 

• Apply data science techniques to analyze model performance, understand data distributions, and identify corner cases. 

• Contribute to multi-modal perception systems, combining signals from LiDAR, cameras, radar, and map sources into unified scene representations. 

• Work with large-scale datasets from simulation, fleet logs, and on-vehicle data to curate training data and improve model performance. 

• Collaborate with data, deployment, and infrastructure teams to evaluate perception models and ensure reliable performance in real-world driving scenarios. 

• Help integrate perception models into the autonomy stack and testing pipelines, enabling faster experimentation and iteration. 

• Contribute to tooling and infrastructure that improves training efficiency, experiment tracking, and reproducibility. 

• Participate in technical discussions around model architectures, sensor fusion strategies, and training approaches within the team.  

What You’ll Need to Succeed 

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience. 

• Strong understanding of computer-vision, and machine learning basics. 

• Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments. 

• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code. 

• Experience training and evaluating machine learning models using large datasets and scalable compute environments. 

• Understanding of ML architectures used in autonomy systems, such as transformers, graph neural networks, or sequence models. 

• Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines. 

• Ability to collaborate with cross-functional teams to integrate ML models into larger software systems. 

• Good technical communication skills, written and verbal. 

• A positive team-player mindset.  

Bonus Points! 

• PhD in machine learning or data science. 

• Experience working in autonomous driving, robotics, or simulation-based training environments. 

• Experience with distributed training frameworks or large-scale ML infrastructure (e.g., Ray, Anyscale). 

• Experience working with simulation environments or large-scale behavior datasets. 

• Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems. 

• Experience deploying ML models into production or real-world robotics systems. 

• Experience with multi-modal sensor fusion, including LiDAR, cameras, radar, or map inputs. 

• Experience working with BEV representations, occupancy grids, or 3D scene representations. 

Hiring Range for Job Opening  

US Pay Range 

$153,200 - $183,300 USD 

Job ID: 102517

Meet the Team: 
As a Machine Learning Engineer II – End-to-End, you will help develop and deploy End-to-End models that power both perception and decision-making for autonomous trucks. Working closely with teams across perception, prediction, planning, and safety, you will contribute to End-to-End models that enable safe, efficient, and human-like driving in real-world freight operations. 
 
This role focuses on building, validating, and improving machine learning models and infrastructure that support End-to-End systems within the autonomy stack. 
 
What You’ll Do 

• Develop and train machine learning models for End-to-End percetion and planning, including approaches such as imitation learning and reinforcement learning. 

• Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack. 

• Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across scenarios. 

• Contribute to model training pipelines and data workflows, curating datasets from simulation, fleet logs, and on-vehicle data. 

• Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate End-to-End models across diverse driving environments. 

• Help integrate End-to-End models into simulation and testing workflows, enabling faster iteration and more comprehensive validation. 

• Support the development of tooling and infrastructure that improve experimentation speed, reproducibility, and model iteration. 

• Contribute to technical discussions around model architecture and training strategies within the team. 

 
 
 
 
What You’ll Need to Succeed 

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience. 

• Experience applying machine learning techniques such as computer vision, imitation learning, or reinforcement learning, to robotics, autonomous systems, or complex control environments. 

• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code. 

• Experience training and evaluating machine learning models using large datasets and scalable compute environments. 

• Understanding of ML architectures used in End-to-End systems, such as BEV models, Transformers, VLA, or diffusion models. 

• Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines. 

• Ability to collaborate with cross-functional teams to integrate ML models into larger software systems. 

 
 
Bonus Points! 

• Experience working in autonomous driving, robotics, or simulation-based training environments. 

• Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray). 

• Experience with VLA or Neural Rendering. 

• Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems. 

• Experience deploying ML models into production or real-world robotics systems. 

Hiring Range for Job Opening  

US Pay Range 

$153,200 - $183,300 USD 

Job ID: 102514

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team: 

As a Staff Machine Learning Engineer specializing in BEV (Bird’s-Eye View) and Multi-Modal Perception, you will lead the development of next-generation models that unify information across cameras, LiDAR and radar to deliver a rich spatial understanding of the driving environment. 

You will drive architectural innovation, large-scale model training, and data-driven improvements that directly advance the perception capabilities at the heart of Torc’s autonomous driving stack. 

This is a technical leadership role focused on model innovation and maturity, not downstream feature integration. 

What You’ll Do 

• Lead BEV model development: Define and execute the technical roadmap for BEV-based perception models across multiple tasks (e.g., detection, segmentation, road topology, and scene understanding). 
• Design advanced multi-modal architectures that fuse heterogeneous sensor data (camera, LiDAR, radar, HD maps) into unified spatial representations.
• Develop foundational perception models leveraging BEV transformers, voxel-based encoders, or implicit scene representations.
• Own large-scale training workflows — from data sampling strategies and augmentation pipelines to distributed training and hyperparameter optimization.
• Advance model robustness and generalization, addressing long-tail conditions such as low visibility, occlusions, and rare scene configurations.
• Establish evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer performance.
• Collaborate cross-functionally with sensor calibration, mapping, and fusion teams to ensure cohesive perception model interfaces.
• Mentor and guide ML engineers, cultivating best practices in experimentation, code quality, and model validation.
• Stay at the forefront of ML research, exploring self-supervised learning, large-scale pretraining, or foundation models for 3D perception. 

What You’ll Need to Succeed 

• 10+ years of experience in deep learning for perception, 3D vision, and/or autonomous systems
• M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field (or equivalent practical experience).
• Proven expertise in BEV modeling, 3D scene understanding, and multi-view fusion.
• Strong background in multi-modal sensor fusion, particularly integrating camera and LiDAR data.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with large-scale data pipelines, distributed training, and experiment management systems.
• Demonstrated leadership in driving ML model innovation and mentoring technical teams. 

Bonus Points! 

• Experience with autonomous driving or robotics perception in production environments.
• Experience with MLOps and infrastructure tools (Ray)
• Hands-on expertise in BEV-based ML architectures, LiDAR-vision fusion, or spatial-temporal modeling.
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
• Track record of publications or open-source contributions in top-tier venues (CVPR, ICCV, NeurIPS, ICRA, CoRL).
• Understanding of performance tradeoffs and deployment constraints (latency, memory, accuracy). 

Knowledge of English is required since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English. 

Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.

Perks of Being a Full-time Torc’r (Canada) 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 

• A competitive compensation package that includes a bonus component and stock options
• Medical, dental, and vision for full-time employees
• RRSP plan with a 4% employer match
• Public Transit Subsidy (Montreal area only)
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• Life Insurance 

 At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

CAD Compensation Range: $209,300-313,800 CAD

Job ID: 102405

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team: 

As a Staff Machine Learning Engineer focused on Road & Lane Detection, you will lead the model development efforts that enable Torc’s autonomous vehicles to perceive and interpret road geometry, lane structures, and drivable surfaces with precision and robustness. 

You’ll define the next generation of deep learning architectures and data-driven approaches that extract high-fidelity road and lane semantics from multi-modal sensor data — driving critical improvements in perception accuracy, stability, and scalability. 

This is a technical leadership role focused on model innovation and maturity, not downstream feature integration. 

What You’ll Do 

• Own the model roadmap for Road & Lane Detection within the Model Dev ML org — from concept through production-grade model maturity. 

• Research, design, and train advanced neural architectures (e.g., multi-camera BEV transformers, LiDAR-vision fusion models, topological lane graph networks) to detect, segment, and model road structures and lane connectivity. 

• Lead data strategy for this domain — defining data curation, labeling policies, and active learning pipelines to capture long-tail scenarios (e.g., occlusions, complex merges, construction zones). 

• Develop robust metrics and evaluation frameworks for lane and road geometry accuracy, temporal consistency, and cross-domain generalization. 

• Advance foundational capabilities such as self-supervised pretraining, synthetic-to-real adaptation, and temporal modeling for road and lane understanding. 

• Drive large-scale experiments — designing, running, and analyzing results from distributed training workflows and ablations to identify scalable improvements. 

• Collaborate with other model dev/perception teams to ensure model coherence and interface consistency. 

• Mentor engineers and scientists, setting best practices for model training, evaluation, and code quality. 

• Stay ahead of the research frontier by evaluating and adapting emerging techniques (e.g., BEV-based large models, vectorized map prediction, lane graph transformers) to production-grade perception. 

What You’ll Need to Succeed 

• 10+ years of experience developing deep learning models for perception or computer vision at scale. 

• M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent experience). 

• Deep expertise in semantic and instance segmentation, BEV modeling, or scene topology estimation. 

• Strong understanding of lane and road geometry modeling, camera calibration, and sensor projection. 

• Proficiency with Python and modern ML frameworks (e.g., PyTorch, Lightning). 

• Experience with distributed training pipelines, experiment management, and large-scale dataset handling. 

• Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable model improvements. 

Bonus Points! 

• Experience developing ML models for autonomous driving, mapping, or ADAS systems. 

• Familiarity with multi-modal fusion (camera, LiDAR, radar, HD maps). 

• Hands-on experience with BEV-based and topological prediction models. 

• Contributions to perception-related ML research (CVPR, NeurIPS, ICCV, ICLR, ICRA). 

• Strong intuition for data quality, bias mitigation, and uncertainty modeling. 

Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.

Perks of Being a Full-time Torc’r (Canada) 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 

• A competitive compensation package that includes a bonus component and stock options
• Medical, dental, and vision for full-time employees
• RRSP plan with a 4% employer match
• Public Transit Subsidy (Montreal area only)
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• Life Insurance 

 At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Hiring Range for Job Opening  

CAD Compensation Range:

$209,300-313,800 CAD

Job ID:  R-102402

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. 
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team

The mission of the Application Engine Team is to provide a robust, efficient, and flexible platform for integrating and managing various deep learning models and processes in the context of L4 autonomous trucking. It aims to streamline development workflows, enhance team efficiency, and ensure consistent performance and safety standards. The Application Engine focuses on facilitating the creation of scalable, reproducible, and safety-compliant components, enabling feature teams to efficiently develop and deploy advanced autonomous driving features.

What You’ll Do 

• Development of a processing pipeline SDK capable of spanning multiple distributed System on a Chips using Ethernet, PCIe, and similar to move data through different processing stages.
• Optimization of concurrent usage of resources (Memory, GPU) for parallel execution of trained models on a single System on a Chip
• Development of a runtime environment, which uses the App Engine SDK to deploy machine learning based virtual driver applications.
• SDK Feature development to support the creation of Virtual Driver Software
• Support Virtual Driver Division with their usage of the Application Engine
• Creation of high-quality code including test case development

What You’ll Need to Succeed 

• Experience with Embedded Software Development, especially with a focus on GPUs
• Experience with TensorRT and CUDA
• Experience in the development of real-time distributed systems
• Profound knowledge of C++ and state of the art design principles
• Familiarity with machine learning technologies (e.g. PyTorch)
• Experience with Linux
• Degree: Masters in Computer Science or Electrical Engineering

Bonus Points

• Experience developing SDK’s for complex embedded systems, especially those featuring GPUs or multiple SOCs.
• Experience in autonomous robotic or vehicle systems.
• Knowledge of computer architecture principles such as pipelining, memory hierarchy, locality, etc.

Perks of Being a Full-time Torc’r 
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:    
 

• A competitive compensation package that includes a bonus component and stock options 

• 100% paid medical, dental, and vision premiums for full-time employees 

• 401K plan with a 6% employer match 

• Flexibility in schedule and generous paid vacation (available immediately after start date) 

• AD+D and Life Insurance 

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job ID: 102580

We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models.

Key Responsibilities

• Collaborate with researchers to accelerate research, model training and inference, and facilitate the use of large-scale models in distributed computing environments.
• Investigate performance bottlenecks, profile research experiment code, debug reported issues, and optimize the utilization of computing resources.
• Develop tools and libraries to simplify and orchestrate the use of distributed computing resources for research experiments.
• Establish, document, and maintain best practices for large-scale, distributed ML model development workflows.

Skills and Qualifications

• A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required. An advanced degree (master’s or PhD) related to machine learning or distributed ML systems is preferred but not required if the candidate demonstrates exceptional abilities and experience.
• 3+ years of experience in designing and implementing distributed ML training frameworks, with recent experience using e.g. Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM,  and/or verl.
• Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and workload managers (e.g., Ray, SLURM).
• Experience with GPU profiling tools (e.g. PyTorch profiler, PyProf, NVIDIA Nsight).
• Familiarity with containerization tools (e.g., gRPC, Docker, Kubernetes).
• Familiarity with data infrastructures and platforms (e.g., vector databases).
• A track record of contributing to high-quality research projects in deep learning.

The title of Engineer is used for reference purposes and may or may not be the official title of the applicant based on jurisdiction.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits (including mental health and wellness management account)
• 20 days of vacation per year upon start
• Employer contribution of 4% to your retirement savings, with no required employee matching
• Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
• A team of passionate world-class experts in their field
• A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation

Machine Learning Engineer – Biometrics (Computer Vision)

We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process.

What You’ll Do

• Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition)
• Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions.
• Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX
• Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps.
• Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS.
• Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team.

What We’re Looking For

• Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis.
• Deep expertise in computer vision and biometrics, especially face recognition.
• Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact.
• Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code.
• Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow.
• Cloud Native: Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS).

Nice to Have

• Research Publications: Papers in CVPR, ICCV, ECCV, or FG related to face recognition, image quality assessment, or fairness.
• Large Scale Search: Experience with vector databases (e.g., Milvus, Faiss) and approximate nearest neighbor (ANN) search algorithms.
• Familiarity with privacy, security, and compliance in biometric systems.
• Mobile/Edge Experience: Experience porting models to edge or mobile devices utilizing frameworks such as CoreML, LiteRT, and/or TFLite.
• Synthetic Data: Experience using GANs or diffusion models to generate synthetic faces for training.
• Strong communication skills.

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. 
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet The Team: 

Our team is tasked with enabling ML developers across Torc to build the most advanced autonomous vehicle solutions at scale.  We are the team responsible for enabling the full ML experimentation process, from ideation, to training and validation, to comparison between models on the same lineage to conversion of an optimal model to a viable truck format.  We are an AWS shop, using Lightning & Ray for our distributed ML work, and we hope you are a Senior ML Engineer who can help us drive the future of autonomous freight. 

What You'll Do: 

You will work to build, maintain and improve our Torc ML frameworks including the following tools:

• Cloud tooling
  • Terraform, AWS Managed Services, EKS, Ray
• Data ops
  • Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS
• ML Development pipeline
  • Python, Ray, PyTorch, Lightning, Gymnasium
• Logging & aggregation, Experiment tracking, Model registry & lineage
  • Visualization & dashboarding (e.g., tableau, voxel51, rerun) 
• Design organization wide systems and platforms for ML Ops.
• Be a key driver of the technical requirements and the adoption of the AV 3.0 Dev Kit with internal stakeholders.
• Drive velocity in development, review, iteration, and be one of the key contributors to help drive the team forward.
• You will be a trusted technical voice to drive collaboration of the Data Loop & Simulation organization within the AI Division at Torc.

What You'll Need to Succeed: 

• Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience.
• Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional experience.
• Experience with large scale distributed training, specifically working with Ray.
  • You are well versed in open-source software and make contributions.
• You have built ML solutions that have reached production.
  • You feel comfortable with the data science and ML iteration/lifecycle.
  • You can balance multiple stakeholders when designing components of the ML development lifecycle.
  • Ideal: You are familiar with model optimizations/compression for edge deployment.
• You have familiarity with compute and data platforms.
  • You feel comfortable with the data science and ML iteration/lifecycle.
  • You can balance multiple stakeholders when designing components of the ML development lifecycle.
  • Ideal: You are familiar with model optimizations/compression for edge deployment.
• You want to build, maintain, grow, and improve our ML platform.
  • You know that a healthy software deployment requires mature software practices
  • Ideal: You love to speak with users and help them reach their goals
• Experience in the autonomous vehicle (L4) or adjacent industry.

Bonus Points!

• Reinforcement Learning for physical AI 
• Publications in relevant conferences (NeurIPS, ICML, CVPR, ICLR, etc.)
• Contribute to open source software and speaking at seminars or conferences.

Knowledge of English is required since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English.

Perks of Being a Full-time Torc’r (Canada) 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 

• A competitive compensation package that includes a bonus component and stock options
• Medical, dental, and vision for full-time employees
• RRSP plan with a 4% employer match
• Public Transit Subsidy (Montreal area only)
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• Life Insurance 

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Hiring Range for Job Opening 

Canada Pay Range 

$199,200 to $298,800 CAD

Job ID: 102397

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet The Team: 

Our team is tasked with enabling ML developers across Torc to build the most advanced autonomous vehicle solutions at scale.  We are the team responsible for enabling the full ML experimentation process, from ideation to training and validation, to comparison between models on the same lineage to conversion of an optimal model to a viable truck format.  We are an AWS shop, using Lightning & Ray for our distributed ML work, and we hope you are a Senior ML Engineer who can help us drive the future of autonomous freight. 

What You'll Do: 

You will work to build, maintain and improve our Torc ML frameworks including the following tools:

• Cloud tooling
• Terraform, AWS Managed Services, EKS, Ray
• Data ops
• Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS
• ML Development pipeline
• Python, Ray, PyTorch, Lightning, Gymnasium
• Logging & aggregation, Experiment tracking, Model registry & lineage
• Visualization & dashboarding (e.g., tableau, voxel51, rerun) 
• Design organization wide systems and platforms for ML Ops.
• Be a key driver of the technical requirements and the adoption of the AV 3.0 Dev Kit with internal stakeholders.
• Drive velocity in development, review, iteration, and be one of the key contributors to help drive the team forward.
• You will be a trusted technical voice to drive collaboration of the Data Loop & Simulation organization within the AI Division at Torc.

What You'll Need to Succeed: 

• Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience
• Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional experience
• Experience with large scale distributed training, specifically working with Ray.
• You are well versed in open-source software and make contributions.
• You have built ML solutions that have reached production
• You feel comfortable with the data science and ML iteration/lifecycle.
• You can balance multiple stakeholders when designing components of the ML development lifecycle.
• Ideal: You are familiar with model optimizations/compression for edge deployment.
• You have familiarity with compute and data platforms
• You understand how to build ML systems that scale.
• You have experience making tradeoffs for speed of development.
• You want to build, maintain, grow, and improve our ML platform
• You know that a healthy software deployment requires mature software practices
• Ideal: You love to speak with users and help them reach their goals
• Experience in the autonomous vehicle (L4) or adjacent industry.

Bonus Points!

• Reinforcement Learning for physical AI 
• Publications in relevant conferences (NeurIPS, ICML, CVPR, ICLR, etc.)
• Contribute to open source software and speaking at seminars or conferences.

Perks of Being a Full-time Torc’r 
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:    

• A competitive compensation package that includes a bonus component and stock options 
• 100% paid medical, dental, and vision premiums for full-time employees 
• 401K plan with a 6% employer match 
• Flexibility in schedule and generous paid vacation (available immediately after start date) 
• AD+D and Life Insurance 

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Hiring Range for Job Opening

US Pay Range

$199,200 - $298,800 

Job ID: 102397

About the Company   

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.   
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.   
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.    

Meet The Team:    

Torc is marching towards its AV 3.0 strategy. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc’s data-driven simulator. High-quality data from novel scenarios close the domain data gap, solving one of the biggest challenges for safe autonomous driving.  The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, that contributes to the Torc’s data workflow for training and validation across the complete AV stack.   

What You’ll Do:    

• Implement the latest research advances in Neural Rendering and generative models 
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations 
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training 
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks  
• Own development projects in the team – From research, design, to implementation, testing and deployment 
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.   

What You’ll Need to Succeed:    

• Proficiency in Python and deep learning frameworks such as PyTorch. 
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software. 
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching). 
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision. 
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.   
• Experience with VDI and cloud based machine learning development environments.
• Expected to drive alignment across team interfaces to the rest of the organization.  
• Designs, maintains and owns team technical solutions and drives consensus.   
• Mentors and guides engineers within the group.    

Bonus Points!  

• Experience with autonomous driving or robotics perception in production environments. 
• Proficiency with CUDA programming for efficient rendering of large-scale scenes 
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals 
• Experience with MLOps and infrastructure tools (Ray) 
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.  
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars  

Perks of Being a Full-time Torc’r   
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:     

• A competitive compensation package that includes a bonus component and stock options 
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match  
• Flexibility in schedule and generous paid vacation (available immediately after start date) 
• AD+D and Life Insurance   

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.  
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.  

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

US Base Pay Range:

$177,300 - $234,000

Job ID: R-102432

About the Company   

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.   
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.   
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.    

Meet The Team:    

Torc is marching towards its AV 3.0 strategy. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc’s data-driven simulator. High-quality data from novel scenarios close the domain data gap, solving one of the biggest challenges for safe autonomous driving.  The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, that contributes to the Torc’s data workflow for training and validation across the complete AV stack.   

What You’ll Do:    

• Implement the latest research advances in Neural Rendering and generative models 
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations 
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training 
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks  
• Own development projects in the team – From research, design, to implementation, testing and deployment 
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.   

What You’ll Need to Succeed:    

• Proficiency in Python and deep learning frameworks such as PyTorch. 
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software. 
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching). 
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision. 
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.   
• Experience with VDI and cloud based machine learning development environments.
• Expected to drive alignment across team interfaces to the rest of the organization.  
• Designs, maintains and owns team technical solutions and drives consensus.   
• Mentors and guides engineers within the group.    

Bonus Points!  

• Experience with autonomous driving or robotics perception in production environments. 
• Proficiency with CUDA programming for efficient rendering of large-scale scenes 
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals 
• Experience with MLOps and infrastructure tools (Ray) 
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.  
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars  

Perks of Being a Full-time Torc’r   
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:     

• A competitive compensation package that includes a bonus component and stock options 
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match  
• Flexibility in schedule and generous paid vacation (available immediately after start date) 
• AD+D and Life Insurance   

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.  
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.  

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

US Base Pay Range:

$160,800 - $212,300

Job ID: R-102432

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. 
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet The Team:  

Pseudo-Labeling team's goal is to create high quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths etc. The annotations are then used by different downstream users, for example, perception teams use it to train various models and simulation teams use it for generating new data. 

What You’ll Do:  

• Design, implement, test and deploy offline object detection, tracking and fusion modules to automatically create annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars)
• Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution. 
• Stay up to date with the latest developments in AI and ML for autonomous driving.
• Independently develop offline perception models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining 
• Documentation of created applications. 
• Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows. 
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Measure and track auto labeling quality to meet internal customer requirements.
• Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner. 
• Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety. 
• Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.  
• Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.  

What You’ll Need to Succeed:  

• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment. 
• Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus.  Mentors and guides engineers within the group.  
• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience OR;  
• Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience OR; 
• Doctorate Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 1+ years of experience. 
• Required Qualifications (some combination of the following skills):    
  • Active Learning & Pseudo-labeling - Computer Vision, Deep Learning, Model training.
  • Two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV.
  • Scaled ML Operations (MLOps) and Tooling – ML Frameworks, experiment tracking, model registry, MLFLow, Weights and Biases, ML Metrics and Evaluation / Quality. 
  • Distributed machine learning frameworks - PyTorch, Lightning, Ray. 
  • Model Data Curation - Parquet data processing (PyArrow, Daft, Pandas, etc). 
  • Development Tools & Eco-System (at scale) - Proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.  

Bonus Points! 

• Data operations and management at scale - Schema design, AWS storage and processing infra, vector databases / LanceDB, file formats (MCAP, parquet, etc). 
• Data Visualization - Integration with tooling such as OpenGL, 3.js, foxglove, 51, tableau. 
• Cloud Development – Python (proficient level), Terraform, AWS Managed Services (eg S3, ECS, Lambda, Dynamo, Step Functions, Athena).   
• Cloud-based orchestration and resource management - AWS Hyperpods, Anyscale, Etc. Model Inference Orchestration.  

Knowledge of English is required since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English. 

Perks of Being a Full-time Torc’r (Canada) 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 

• A competitive compensation package that includes a bonus component and stock options
• Medical, dental, and vision for full-time employees
• RRSP plan with a 4% employer match
• Public Transit Subsidy (Montreal area only)
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• Life Insurance 

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Hiring Range for Job Opening 

Canada Pay Range 

$199,200 to $298,800 CAD 

Job ID: 102399

L’opportunité
Nous recherchons un(e) Développeur(se) SDK Sénior qui agira comme contributeur(rice) individuel(le) sénior sur le SDK iOS, en prenant en charge des fonctionnalités ou des sous-systèmes de bout en bout, de la conception à la mise en œuvre et à la maintenance.

Il s’agit d’une occasion de travailler à l’intersection stimulante du développement de SDK, de l’apprentissage automatique et de l’infrastructure de données. Joignez-vous à nous pour créer des solutions innovantes qui font progresser la technologie publicitaire, influençant des milliards d’expériences publicitaires à l’échelle mondiale tout en assurant la protection des renseignements personnels et la conformité.

Ce que vous allez faire

• Agir comme contributeur(rice) individuel(le) sénior sur le SDK iOS, en prenant en charge des fonctionnalités ou des sous-systèmes de bout en bout, de la conception à la mise en œuvre et à la maintenance.
• Contribuer au développement et à l’évolution de l’architecture du SDK iOS dans le cadre des orientations et balises de la plateforme.
• Mettre en œuvre des composantes du SDK iOS fiables et performantes, en portant une attention particulière au multithreading, au cycle de vie et à la sécurité du fil d’exécution principal.
• Repérer et corriger les pannes en production, les problèmes de performance et les régressions, et contribuer à améliorer la stabilité globale du SDK.
• Améliorer de façon proactive le code existant, les abstractions et les pratiques de développement afin de renforcer la maintenabilité et la fiabilité.
• Exercer un jugement technique solide pour équilibrer justesse, performance et échéanciers de livraison.
• Collaborer étroitement avec les développeur(se)s Android, les équipes backend, les gestionnaires de produit et l’assurance qualité afin d’assurer un comportement cohérent du SDK et des intégrations sécuritaires.
• Participer aux revues de conception et de code, offrir une rétroaction réfléchie et contribuer à hausser la qualité du développement au sein de l’équipe.

Ce que nous recherchons

• Posséder plus de 6 ans d’expérience professionnelle en développement iOS.
• Démontrer une forte maîtrise de Swift.
• Expérience en développement de SDK iOS.
• Avoir de l’expérience avec des SDK publicitaires, des plateformes de monétisation ou d’autres systèmes mobiles sensibles à la performance.
• Connaître l’alignement de SDK multiplateformes et les contrats partagés entre iOS et Android.
• Avoir de l’expérience avec l’observabilité, le diagnostic et les processus de build and release d’un SDK.
• Maîtriser les bonnes pratiques en matière de sécurité et de protection de la vie privée sur mobile.
• Avoir travaillé dans de grands codebases matures, avec un accent sur la stabilité et la rétrocompatibilité.

Vous avez peut-être également

• Travaillé avec l’éditeur Unity ou d’autres outils de développement de jeux mobiles.
• Participé à un SDLC structuré ou à un environnement Scrum avec un(e) Scrum master.

Information supplémentaire

• Le support à la relocalisation n’est pas disponible pour ce poste
• Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste

La vie chez Unity

Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.

Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.

Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.

Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.

Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.

La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.

The opportunity
We are hiring a Senior SDK Engineer to act as a senior individual contributor on the iOS SDK, owning features or subsystems end-to-end from design through implementation and maintenance.

This is a chance to work at the exciting intersection of SDK development, machine learning, and data infrastructure. Join us to create innovative solutions that propel advertising technology forward, impacting billions of global ad experiences while ensuring privacy and compliance.

What you'll be doing

• Act as a senior individual contributor on the iOS SDK, owning features or subsystems end-to-end from design through implementation and maintenance.
• Contribute to the development and evolution of the iOS SDK architecture within established platform direction and guardrails.
• Implement reliable, performant iOS SDK components with strong attention to threading, lifecycle, and main-thread safety.
• Identify and fix production crashes, performance issues, and regressions, and contribute to improving overall SDK stability.
• Proactively improve existing code, abstractions, and development practices to enhance maintainability and reliability.
• Exercise sound technical judgment in balancing correctness, performance, and delivery timelines.
• Collaborate closely with Android engineers, backend teams, product managers, and QA to ensure consistent SDK behavior and safe integrations.
• Participate in design and code reviews, providing thoughtful feedback and raising engineering quality across the team.

What we're looking for

• 6+ years of professional iOS development experience.
• Strong proficiency in Swift
• Experience developing iOS SDKs.
• Familiarity with Ads SDKs, monetization platforms, or other performance-sensitive mobile systems.
• Familiarity with cross-platform SDK alignment and shared contracts between iOS and Android.
• Experience with SDK observability, diagnostics, and release processes.
• Knowledge of mobile security and privacy best practices.
• Experience operating in large, mature codebases with a focus on stability and backwards compatibility.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Human Agency

We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

The Opportunity

At Human Agency, we are shaping the future by combining cutting-edge AI solutions with intuitive software development. We specialize in building scalable and secure SaaS applications that empower enterprise clients to solve complex problems efficiently. As part of our team, you'll work on high-impact projects at the intersection of AI, machine learning, and secure software engineering.

We’re seeking a Senior Full-Stack Engineer to join our growing team. In this role, you'll lead development initiatives, contribute to our SaaS products, and tackle exciting challenges in backend architecture, frontend design, and AI/ML integrations with a particular focus on generative AI technologies.

Responsibilities

SaaS Application Development

• Detection:
• Develop backend algorithms to process articles, chunk content, and integrate with LLMs for predictive text generation.
• Build APIs and services to manage and scale the application’s content workflow.
• Protection:
• Create secure PDF upload workflows with encryption to ensure compatibility with Adobe Acrobat.
• Integrate authentication mechanisms like Okta for enterprise customer admin management.
• Enable data recovery, auditing capabilities, and enterprise-grade administrative tools.

AI/ML and Algorithm Development

• Collaborate with AI/ML teams to operationalize models such as OCR (Optical Character Recognition) and generative AI-based solutions (e.g., GPT models).
• Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding techniques to enhance application functionality.
• Design workflows for large-scale data processing that enable efficient AI integrations and create dynamic AI-first features, such as custom GPTs tailored to enterprise needs.

DevOps & Operationalization

• Establish CI/CD pipelines and formal release structures for software delivery.
• Conduct security evaluations to identify vulnerabilities and optimize performance across AI-driven SaaS applications.
• Manage infrastructure and workflows for custom AI solutions, including tools like Snowflake and LangChain.

Future-Focused Development

• Build integrations and proof-of-concept applications leveraging company-specific datasets and AI technologies.
• Evaluate and implement tools for classification, indexing, and secure data management that incorporate the latest in generative AI advancements.
• Support the development of enterprise-grade AI solutions, including internal AI models and custom LLMs.

Requirements

Core Technical Skills

• Proficiency in Python and Ruby on Rails, with significant backend experience.
• Experience in designing secure systems, including encryption workflows and document protection mechanisms.
• Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications.
• Strong knowledge of RAG techniques, vector databases (e.g. Pinecone, Weaviate), and embedding pipelines.
• Ability to operationalize AI/ML models and build workflows for enterprise clients.
• Frontend development experience in modern frameworks (e.g, React, Vue), with the ability to assess and recommend appropriate tech stacks.

Nice-to-Have Skills

• Computer vision and OCR expertise, especially for processing and indexing complex document workflows.
• Experience with authentication systems (e.g., Okta) and enterprise administrative tools.
• Experience in DevOps, CI/CD pipelines, and secure release management.
• Background in security evaluations, vulnerability assessments, and tool integrations.

Other Requirements

• Strong testing background with experience in automated and manual testing.
• Ability to manage data recovery, audits, and compliance workflows.
• Strong problem-solving and analytical skills, with attention to detail in complex environments.
• Excellent communication skills and the ability to work collaboratively across teams.

Why Join Us?

• Be part of a cutting-edge team solving complex problems in AI and SaaS development.
• Work on impactful projects with enterprise clients and cutting-edge technologies.
• Grow your career in a collaborative, innovative, and supportive environment.

If you're excited about working on secure, scalable systems while integrating advanced AI and ML capabilities, we’d love to hear from you.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

The Role

This is a full-ownership data engineering role at the center of Medeloop's AI platform. You won't be maintaining pipelines someone else built,  you'll be architecting the data backbone that powers AI agents doing real operations at scale. You'll work directly with data scientists, AI engineers, and product teams to turn raw, complex healthcare data into the clean, structured, semantically-rich foundation our AI scientists depend on. Your work shows up in customer products and research outcomes, not internal dashboards that no one reads.Candidates who currently perform these tasks exclusively through manual processes are unlikely to be suitable for this role. We require an individual who has already adopted and integrated AI techniques to enhance operational velocity, rather than one who is contemplating future experimentation.If you want to build something that genuinely changes how medical research gets done, this is the role.

What You'll Own

• The healthcare data lake: curating, extending, and evolving it through new concepts, derived variables, and data models that directly inform our AI engines and customer products
• AI-native data workflows: designing and operating AI-powered pipelines (using tools like Claude Code and agent frameworks) to automate harmonization, cleaning, quality checks, and summarization at scale
• NLP and semantic infrastructure: building pipelines for entity extraction, concept normalization, embedding-based retrieval, and semantic search that power the AI Scientist platform
• Novel data extraction approaches: experimenting with and building new methodologies for working with unstructured clinical data, not just applying existing playbooks
• Research-grade data products: delivering analytical samples, cohorts, and final datasets that withstand scientific scrutiny and are actively used by researchers and customers
• Data governance and observability protocols: including access controls, PHI/PII handling, data classification, compliance, monitoring, alerting, data freshness, and comprehensive documentation to enable self-service capabilities.

What We're Looking For

• 3+ years of relevant data engineering or data management within an analytics-driven organization, with end-to-end ownership from raw ingestion to final data product
• Deep hands-on experience with healthcare CDMs (OMOP, FHIR, PCORnet) — designing or extending them, not just querying
• Knowledge of medical ontologies: UMLS, SNOMED CT, RxNorm
• Experience with big data, data pipelines and tooling that support retrieval-augmented generation (RAG), vector integrations, embedding workflows, and other AI/ML workloads. Experience in big data tooling such as Spark, Iceberg, EMR
• Fluent in Python and SQL; comfortable across structured and unstructured data
• Proven NLP experience: semantic search, entity recognition, concept normalization, embedding pipelines
• Strong grasp of inferential statistics and cohort methodology to be a real partner to data scientists and customers (as part of onboarding)
• Experience contributing to an AI/ML product, especially in automated research or scientific discovery
• Experience mentoring other engineers and providing technical leadership

Bonus Points

• Multi-cloud experience (AWS, Azure, GCP)
• Authorship or contribution to peer-reviewed publications or technical reports

Why Medeloop

• Ownership from day one: small team, high-trust, no layers between your work and its impact
• Technically ambitious: you'll build AI-powered workflows, not just support them
• Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
• Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build