Staff Machine Learning Engineer

Team

The Foundation Models Lab at ServiceNow Research builds the foundation for ServiceNow’s bespoke generative AI solutions, specifically tailored to meet the unique demands of our enterprise environment. Renowned for co-leading the BigCode project and releasing influential models like StarCoder and StarCoder 2, along with datasets such as the Stack and the Stack v2, our lab is now dedicated to strategic pretraining of foundation models for enterprise applications. Our mission extends beyond mere training; we aim to holistically design large language models considering their entire lifecycle. This includes curating training data to meet specific performance expectations, maximizing training efficiency and optimizing models for fast and cost-effective inference. By doing so, we ensure that our AI models are robust, efficient, and ready for further refinement and integration into ServiceNow’s broader AI ecosystem

Role

• Are you passionate about pushing the boundaries of AI and machine learning? Join our lab as a Staff Research Developer and be at the forefront of innovation. We are expanding and looking for someone who thrives on designing and implementing cutting-edge AI models, optimizing data, compute, and model architectures to set new benchmarks in the field.

What You’ll Do:

• Work with Cutting-Edge Hardware: Utilize large GPU clusters and advanced parallelization techniques to maximize performance.
• Optimize Large-Scale Training Pipelines: Lead the development of efficient model training workflows, managing jobs that span hundreds of GPUs. Use advanced parallelization techniques and tools like OpenAI’s Triton JIT compiler.
• Develop State-of-the-Art Model Architectures: Design and refine language model architectures for maximum inference speed, robustness, and scalability.
• Advance Our Open-Source Framework: Enhance our custom training framework, adding new features, improving performance, and optimizing memory usage. Help share insights and innovations from our lab.
• Data-Driven Performance Optimization: Drive data preprocessing and curation to produce high-quality training datasets.

Why Join Us?

• Impact at Scale: Push the limits of compute working on projects with a high impact on the future of AI.
• Compute: Benefit from one of the highest ratios of compute to engineers.
• Research Meets Production: Blend deep research with hands-on engineering, taking ideas from concept to large-scale deployment.
• Collaborative Growth: Grow alongside leading experts in model training, optimization, and deployment.

To be successful in this role you have:

• A Master's degree with at least 5 years of relevant experience, or a Ph.D. in computer science, engineering, or a related field with 3 years of experience.
• Strong Foundations in ML Systems: Expertise in ML systems design, distributed training, and parallel computing, particularly across multi-GPU and multi-node environments.
• Advanced GPU Programming Skills: Proficiency in CUDA or similar languages; experience optimizing memory and compute efficiency.
• Experience with Model Architecture Design: Background in designing scalable, efficient model architectures.
• Hands-On Experience with Large-Scale Data: Familiarity with data curation, filtering and preprocessing.
• Commitment to Open-Source Contributions: Experience or interest in contributing to the open-source ML community.

If you’re passionate about building large models and optimizing at the limits of compute, we’d love to meet you. Join us and make an impact in one of today's most exciting areas of AI

Not sure if you meet every qualification? We still encourage you to apply We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate

Work Personas 

Nous adoptons une approche basée sur la flexibilité et la confiance vis-à-vis de notre monde du travail distribué. Les personas de travail (flexibles, à distance ou requis au bureau) sont des catégories qui sont attribuées aux employés de ServiceNow en fonction de la nature de leur travail. Cliquez ici pour en savoir plus. 

Equal Opportunity Employer 

ServiceNow est un employeur qui souscrit au principe de l'égalité d’accès à l’emploi. Tous les candidats qualifiés recevront une considération pour l’emploi sans égard à la race, la couleur, la croyance, la religion, le sexe, l’orientation sexuelle, l’origine nationale ou la nationalité, l’ascendance, l’âge, le handicap, l’identité ou l’expression de genre, l’état matrimonial, le statut d’ancien combattant ou toute autre catégorie protégée par la loi. De plus, tous les candidats qualifiés ayant des antécédents d’arrestation ou de condamnation seront pris en considération pour un emploi conformément aux exigences légales. 

Accommodations 

Nous mettons tout en œuvre offrir une expérience accessible et inclusive pour tous les candidats. Si vous avez besoin d’une mesure d’adaptation raisonnable pour compléter une partie du processus de candidature ou si vous n’êtes pas en mesure d’utiliser cette candidature en ligne et que vous avez besoin d’une autre méthode pour postuler, veuillez communiquer avec talent.acquisition@servicenow.com pour obtenir de l’aide. 

Export Control Regulations 

Pour les postes nécessitant l’accès à une technologie contrôlée assujettie aux règlements sur les contrôles à l’exportation, y compris les U.S. Export Administration Regulations (EAR), ServiceNow peut être tenu d’obtenir l’approbation des autorités gouvernementales en matière de contrôle des exportations pour certaines personnes. Tout emploi est subordonné à l’obtention par ServiceNow d’une licence d’exportation ou d’une autre approbation qui pourrait être requise par les autorités de contrôle des exportations compétentes. 

Extrait de Fortune. ©2024 Fortune Media IP Limited. Tous droits réservés. Utilisé sous licence. 

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.