Staff Machine Learning Engineer
3 weeks ago
Team
The Foundation Models Lab at ServiceNow Research helps build 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, crucially, 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
- We are seeking a Staff Research Developer with a passion for deep learning, GPU programming, and optimizing computational models to the maximum. In this role, you will:
- Enable large-scale model training projects that aim to significantly enhance our AI capabilities and ensure they are perfectly adapted to our platform.
- Take a lead in enhancing our 3D-parallelism training framework, aiming to make it more feature-complete and further increasing its speed and efficiency. This involves identifying compute bottlenecks and implementing critical tensor operations using OpenAI’s Triton JIT compiler to maximize GPU utilization and training throughput.
- Design, implement, and optimize novel language model architectures that prioritize inference speed and scalability, aligning with ServiceNow’s operational needs.
- Contribute to broadening our training framework’s support for a diverse range of model architectures, balancing maintainability and stability with the need for innovative features and experimentation.
- Contribute to the open-sourcing efforts of our frameworks by ensuring they are well-documented, user-friendly, and ready for external adoption.
Qualifications
To excel in this role, you should 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.
- Extensive experience in python and GPU programming for deep learning, with a proven track record of optimizing large-scale systems for performance and efficiency.
- Demonstrable skills in designing and implementing innovative deep learning architectures, preferably with experience in large language models.
- Proficiency in one or more major deep learning frameworks, such as PyTorch or JAX. Significant experience with CUDA and familiarity with OpenAI Triton are highly desirable.
- Strong collaborative skills with the ability to work in a dynamic environment, with a track record of driving projects to completion.
- Excellent problem-solving skills and the ability to work independently on complex issues.
- Effective communication skills, capable of articulating complex technical details and collaborating across teams.
What We Offer
- A role at the forefront of AI research and development with opportunities to impact enterprise-level solutions.
- Collaboration with a strong team of experts dedicated to pushing the boundaries of AI technology.
- A dynamic and supportive work environment that fosters innovation and growth.
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
Additional Information
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.
-
Staff Machine Learning Engineer, Gen AI
2 months ago
Toronto, Canada Mozilla Full timeStaff Machine Learning Engineer, Gen AI at Mozilla Corporation Team: Firefox Locations: Remote Canada, Remote Netherlands, Remote Sweden, Remote France, Remote Germany, Remote Spain, Remote Belgium, Remote Finland, Remote Denmark, Remote UK, Remote US To learn the Hiring Ranges for this position, please select your location from the Apply Now ...
-
Staff Machine Learning Engineer, Fakespot
2 months ago
Toronto, Canada Mozilla Full timeStaff Machine Learning Engineer, Fakespot at Mozilla Corporation Team: Fakespot Locations: Remote US, Remote Canada To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu. To learn more about our Hiring Range System, please click this Why Mozilla? Mozilla Corporation is the non-profit-backed...
-
Machine Learning Engineer
3 weeks ago
Toronto, Ontario, Canada Company 1 - The Manufacturers Life Insurance Company Full timeDescriptionThis individual will play a vital role in enhancing data from sales analytics to gain insights into customer behavior, market trends, and sales performance.The OpportunityWe are seeking a skilled Machine Learning Engineer to join our team at Company 1 - The Manufacturers Life Insurance Company. This role will involve utilizing machine learning and...
-
Machine Learning Engineer
5 months ago
Toronto, Canada Lyft Full timeAt Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.With over half a billion rides and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Marketplace,...
-
Senior Machine Learning Engineer
3 weeks ago
Old Toronto, Canada ACV Full timeSenior Machine Learning EngineerAt ACV, we're seeking a seasoned Senior Machine Learning Engineer to lead our machine learning operations. As a key member of our team, you'll be responsible for developing and deploying scalable machine learning models that drive business value.Key Responsibilities:Develop and implement machine learning models that meet...
-
Machine Learning Engineer
5 months ago
Toronto, Ontario, Canada 247 Labs Full time**Requirements**: We at 247labs are looking for a skilled and passionate Machine Learning Engineer to join our dynamic team and help us drive the next generation of intelligent solutions. Required Qualifications: Contribute to?the implementation of?large-scale and low-latency services, elegant abstractions, shareable libraries, and robust APIs Partner with...
-
Machine Learning Engineer
6 months ago
Old Toronto, Canada Plunge Full timePlunge - Machine Learning Engineer About Us Plunge is a company for passionate engineers, led by passionate engineers. We build and ship products for our clients - startups backed by category-defining VCs such as Sequoia, a16z, investment funds, as well as F500 companies. They come to us to expand
-
Senior Machine Learning Engineer
3 weeks ago
Toronto, Ontario, Canada Index Exchange Full timeAbout the Role:We are seeking a Senior Machine Learning Engineer to lead our machine learning and optimization efforts at Index Exchange. As a key member of our technology team, you will be responsible for designing and implementing enterprise-scale MLOps systems and platforms, productionalizing and supporting scalable and efficient machine learning models...
-
Machine Learning Engineer Lead
3 weeks ago
Old Toronto, Canada Heinz Full timeMachine Learning Engineer Lead At Kraft Heinz, the Machine Learning Engineer Lead plays a crucial role in the development and implementation of advanced analytics insights. This position is responsible for ensuring that machine learning models receive the necessary data at the right time to produce accurate results. The Machine Learning Engineer Lead works...
-
Machine Learning Engineer
2 months ago
Toronto, Canada NearSource Full timeBecome a Machine Learning Engineer for a multinational Fortune 500 project in Canada. Drive innovation and uphold high technological standards. Apply today to be a vital member of the dynamic team. Responsibilities:Design, implement, and manage AWS-based cloud infrastructure, ensuring scalability, security, and reliability.Utilize AWS services such as EC2,...
-
Machine Learning Engineer
3 weeks ago
Old Toronto, Canada undisclosed Full timeUnlock the Power of Data-Driven InvestingUndisclosed is seeking a skilled Machine Learning Engineer to join our Investment Science team. As a key player in our data-driven initiatives, you will shape the future of investment decision-making with innovative approaches.Develop and Enhance ML Models: Build, improve, deploy, and maintain machine learning models...
-
Machine Learning Engineer
6 months ago
Old Toronto, Canada The Institute for Performance and Learning Full timeBoosted.ai is a fintech company headquartered in Toronto, Canada with offices in New York City. We provide AI tools to asset managers to augment their equity capital markets research. Boosted.ai empowers finance professionals to use AI and machine learning to sort through massive amounts of data to
-
Machine Learning IMU Engineer
2 months ago
Toronto, Canada Motion Recruitment Full timeWe are pioneering sensor technology and motion analytics. We are seeking a Machine Learning IMU Engineer to join our team! You'll have the opportunity to push the boundaries of AI in sensor technology, working on cutting-edge projects that involve head movement tracking, sensor drift correction, and much more. We’re looking for someone with solid...
-
Principal Machine Learning Engineer
1 month ago
Old Toronto, Canada Sezzle Full timePrincipal Machine Learning Engineer This is a remote position for candidates based in Canada Sezzle is a leading financial technology company dedicated to empowering consumers by offering flexible payment options and innovative shopping experiences. We are committed to fostering financial inclusion and delivering cutting-edge technology to shape the future...
-
Senior Machine Learning Engineer
3 weeks ago
Toronto, Ontario, Canada University Health Network Full timeJob SummaryThe University Health Network (UHN) is seeking a skilled Machine Learning Engineer to join their team. In this role, you will collaborate closely with care providers, researchers, and students to develop and implement safe and responsible AI applications aimed at advancing healthcare. As a Machine Learning Engineer, you will create sophisticated...
-
Machine Learning Engineer, Specialist
2 months ago
Toronto, Canada Vanguard Full timeAs a Machine Learning Engineer, you will work with a highly innovative and vibrant team of Data Scientists, Machine Learning Engineers, Cloud Engineers, and Data Engineers in developing the next generation AI/ML enabled financial fraud and financial crimes prevention end-to-end solutions for Vanguard. You will perform the development of machine learning...
-
Machine Learning Engineer
1 month ago
Old Toronto, Canada Toparo Full timeAre you seeking an exciting opportunity to work with groundbreaking, well-known Web3, Blockchain and Fortune 100 organizations? Our client in Toronto is looking for a skilled Machine Learning Engineer to join their well-funded venture (USD 8.5M raised), focused on tackling unique treasury, accounting, and asset management challenges. They have processed over...
-
Machine Learning Engineer Lead
4 weeks ago
Old Toronto, Canada Kraft Heinz Company Full timeAbout this roleThe Machine Learning Engineer Lead will be responsible for ensuring that the Machine Learning models get the right data at the right time to deliver correct results. This role works closely with the Data Scientist, Cloud and Data Engineering organization for new solution development and operations. This role helps to maximize the ROI on data...
-
Machine Learning Engineer Lead
1 month ago
Old Toronto, Canada Kraft Heinz Company Full timeh3>Machine Learning Engineer LeadHere at Kraft Heinz, we grow our people to grow our business, because we believe that great people make great companies. When you join our table, you can expect access to an array of holistic wellness benefits and perks, including medical, dental and vision coverage, 7% 401(k) matching, Business Resource Groups (BRGs) to help...
-
Machine Learning Engineer Lead
3 weeks ago
Old Toronto, Canada Heinz Full timeWhen you join our table, you can expect access to an array of holistic wellness benefits* and perks, including medical, dental and vision coverage, 7% 401(k) matching, Business Resource Groups (BRGs) to help foster diversity, inclusion, and belonging for all employees, an industry-leading total rewards package that emphasizes a high discretionary bonus....