Talent.com
Senior MLOps Engineer, vLLM Inference
Senior MLOps Engineer, vLLM InferenceRed Hat • Boston, MA, United States
[error_messages.no_longer_accepting]
Senior MLOps Engineer, vLLM Inference

Senior MLOps Engineer, vLLM Inference

Red Hat • Boston, MA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
  • [job_card.permanent]
[job_card.job_description]

Senior MLOps Engineer, vLLM Inference page is loaded## Senior MLOps Engineer, vLLM Inferenceremote type : Hybridlocations : Boston : Dublin - MSO : Remote Ireland : Waterford Citytime type : Full timeposted on : Posted Todayjob requisition id : R-050637At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM project, and inventors of state-of-the-art techniques for model compression, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.We are seeking an experienced ML Ops engineer to work closely with our product and research teams to scale SOTA deep learning products and software. As an ML Ops engineer, you will work closely with our technical and research teams to manage training and deployment pipelines, create DevOps and CI / CD infrastructure, and scale our current technology stack. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning, this is the role for you!In this role, your primary responsibility will be to build and release the Red Hat AI Inference runtimes, continuously improve the processes and tooling used by the DevOps team, and find opportunities to automate procedures and tasks.Join us in shaping the future of AI!

  • What you will do
  • Collaborate with research and product development teams to scale machine learning products for internal and external applications
  • Create and manage model training and deployment pipelines
  • Actively contribute to managing and releasing upstream and midstream product builds
  • Test to ensure correctness, responsiveness, and efficiency
  • Troubleshoot, debug and upgrade Dev & Test pipelines
  • Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
  • Collaborate with a cross-functional team about market requirements and best practices
  • Keep abreast of the latest technologies and standards in the field
  • What you will bring
  • 2+ years of experience in MLOps, DevOps, Automation and modern Software Deployment practices
  • Experience evaluating LLMs for performance on accelerators and accuracy (think HellaSwag, MMLU, Chatbot Arena, TruthfulQA, etc.).
  • Being super comfortable with Python and PyTest is a must.
  • Strong experience with Git, Github Actions including self-hosted runners, Terraform, Jenkins, Ansible, and common technologies for automation and monitoring
  • Highly experienced with administering Kubernetes / Openshift
  • Familiar with Agile development methodology
  • Experience with Cloud Computing using at least one of the following Cloud infrastructures : AWS, GCP, Azure, or IBM Cloud
  • Solid programming skills especially in Python
  • Solid troubleshooting skills
  • Ability to interact comfortably with the other members of a large, geographically dispersed team
  • Experience maintaining an infrastructure and ensuring stability
  • Familiarity with contributing to the vLLM CI community is a big plus
  • While a Bachelor’s degree or higher in computer science, mathematics, or a related discipline is valued, we prioritize technical prowess, initiative, problem solving, and practical experience#LI-AJ1#AI-HIRINGThe salary range for this position is $133,650.00 - $220,680.00. Actual offer will be based on your qualifications.
  • Pay Transparency
  • Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and / or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
  • About Red Hat
  • is the world’s leading provider of enterprise software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
  • Benefits
  • Comprehensive medical, dental, and vision coverage
  • Flexible Spending Account - healthcare and dependent care
  • Health Savings Account - high deductible medical plan
  • Retirement 401(k) with employer match
  • Paid time off and holidays
  • Paid parental leave plans for all new parents
  • Leave benefits including disability, paid family medical leave, and paid military leave
  • Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
  • Note :
  • These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
  • Inclusion at Red Hat
  • Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
  • Equal Opportunity Policy (EEO)
  • Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.### Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.### Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.At Red Hat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all Red Hatters, no matter their role. It’s what makes us who we are.Some of the most knowledgeable and passionate people in the technology industry work here. Whether we’re building software, championing our products, or training new associates, we’re collaborating openly to make a difference in the world of open source and beyond.

#J-18808-Ljbffr

[job_alerts.create_a_job]

Senior Mlops Engineer • Boston, MA, United States

[internal_linking.related_jobs]
Senior MLOps Engineer - Remote AI Pipelines & Deployment

Senior MLOps Engineer - Remote AI Pipelines & Deployment

EBSCO Information Services • Boston, MA, United States
[filters.remote]
[job_card.full_time]
A research technology leader is seeking a Senior ML Ops Engineer to design and maintain machine learning pipelines within an AWS data lakehouse ecosystem. The role involves collaboration with cross-...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Senior AI / ML Engineer

Senior AI / ML Engineer

Prudentia Sciences • Boston, MA, United States
[job_card.full_time]
Prudentia Sciences is an AI-powered technology platform transforming how biopharma, biotech, and life sciences investors approach portfolio management, due diligence, and value / risk simulation.Our ...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
ML Platform Engineer — Real-Time Inference & Pipelines

ML Platform Engineer — Real-Time Inference & Pipelines

Coinbase • Boston, MA, United States
[job_card.full_time]
A leading cryptocurrency platform in Boston is looking for a Machine Learning Platform Engineer.This role involves building foundational components for feature engineering and training ML models, c...[show_more]
[last_updated.last_updated_variable_hours] • [promoted] • [new]
ML Engineer - Perception Attributes for Safe Autonomy

ML Engineer - Perception Attributes for Safe Autonomy

Zoox • Boston, MA, United States
[job_card.full_time]
A pioneering autonomous vehicle company in Boston is looking for a Machine Learning Engineer to develop and enhance behavioral models for road users. This role is crucial for enabling safe navigatio...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Senior ML Engineer, Ads & Optimization — Remote

Senior ML Engineer, Ads & Optimization — Remote

Unity Technologies • Boston, Massachusetts, United States
[filters.remote]
[job_card.full_time]
A leading game development platform is seeking a Principal Machine Learning Engineer to drive machine learning applications and optimize practices across the organization.The role involves formulat...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Senior AI Engineer (LLM Core)

Senior AI Engineer (LLM Core)

Capital One • Harvard Square, MA, US
[job_card.full_time] +1
Senior AI Engineer (LLM Core) Overview : At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using ma...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Senior ML - Computer Vision Engineer

Senior ML - Computer Vision Engineer

Discover International • Cambridge, MA, United States
[job_card.full_time]
AI / Computer Vision Engineer - Cambridge, Boston (Hybrid).Join an elite innovation team driving next-generation medical robotics and AI solutions. This cutting-edge group focuses on early-stage break...[show_more]
[last_updated.last_updated_30] • [promoted]
Senior AI Safety & MLOps Engineer

Senior AI Safety & MLOps Engineer

Red Hat, Inc. • Boston, MA, United States
[job_card.full_time]
A leading open source technology company is seeking a Senior Software Engineer to join its OpenShift AI team.This role will focus on developing MLOps systems that ensure AI systems behave reliably ...[show_more]
[last_updated.last_updated_1_day] • [promoted]
Senior Healthcare ML Engineer — LLMs & Data Pipelines

Senior Healthcare ML Engineer — LLMs & Data Pipelines

C the Signs • Boston, Massachusetts, United States
[job_card.full_time]
A healthcare technology company in Boston is seeking a Machine Learning Engineer to lead the development and deployment of machine learning models. The role involves data preprocessing, model traini...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Lead Generative AI Engineer (3D, VLM & Diffusion Models)

Lead Generative AI Engineer (3D, VLM & Diffusion Models)

Edensign • Boston, MA, US
[job_card.full_time]
Edensign is building the future of AI-powered visual and spatial design.Backed by the Harvard Innovation Labs, we’re creating next-generation intelligent systems that merge generative AI, 3D unders...[show_more]
[last_updated.last_updated_variable_hours] • [promoted] • [new]
Principal DevOps Engineer - AI / ML (Remote US)

Principal DevOps Engineer - AI / ML (Remote US)

BioLegend, Inc. • Boston, Massachusetts, United States
[filters.remote]
[job_card.full_time]
Revvity Signals makes market-leading software that empowers scientists across Life Science R&D, clinical research, and specialty chemicals to make better medicines and products, faster.Our flagship...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
MLOps Engineer : Build Scalable ML Pipelines & Data Ops

MLOps Engineer : Build Scalable ML Pipelines & Data Ops

Cyvl • Boston, MA, US
[job_card.full_time]
A Boston-based tech startup is seeking an experienced MLOps Engineer to optimize data workflows and support the Machine Learning team. Responsibilities include building scalable pipelines, managing ...[show_more]
[last_updated.last_updated_variable_hours] • [promoted] • [new]
GenAI ML Engineer | Azure & Databricks | Hybrid

GenAI ML Engineer | Azure & Databricks | Hybrid

Manulife • Boston, MA, US
[job_card.full_time]
A leading financial services organization is seeking a skilled Machine Learning Engineer in Boston.This role involves building AI solutions, developing data pipelines, and deploying models using be...[show_more]
[last_updated.last_updated_variable_hours] • [promoted] • [new]
Senior Machine Learning Engineer (Boston)

Senior Machine Learning Engineer (Boston)

Strativ Group • Boston, MA, United States
[job_card.full_time]
A Boston based, scaling, SOTA Generative AI Startup operating with a world class team with talent from Open AI, IBM, MIT and several top orgs, focused on pioneering work and advancements in large l...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Healthcare AI / ML Engineer - ML Ops, NLP & CV

Healthcare AI / ML Engineer - ML Ops, NLP & CV

Dana-Farber Cancer Institute • Boston, MA, US
[job_card.full_time]
A leading cancer research institute in Boston seeks an Artificial Intelligence & Machine Learning Engineer / Scientist I. This role involves developing scalable AI solutions, collaborating within ...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Staff ML Engineer – Multimodal Foundation AI

Staff ML Engineer – Multimodal Foundation AI

WHOOP • Boston, Massachusetts, United States
[job_card.full_time]
A leading health technology company is seeking a Staff Machine Learning Engineer in Boston, MA, to advance their AI systems. The ideal candidate will have over 7 years of experience in machine learn...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Principal ML Engineer - Open-Source LLM Inference (vLLM)

Principal ML Engineer - Open-Source LLM Inference (vLLM)

Red Hat • Boston, MA, US
[job_card.full_time]
A leading tech company in Boston seeks a Principal Machine Learning Engineer to develop cutting-edge solutions for enterprise AI. You will build distributed inference systems, work on GPU optimizati...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
ML Engineer – Modeling & LLMs (Remote)

ML Engineer – Modeling & LLMs (Remote)

Medium • Boston, Massachusetts, United States
[filters.remote]
[job_card.full_time]
A leading AI solutions company is hiring a Machine Learning Engineer in Boston, MA.This role involves building information retrieval systems and requires deep experience in machine learning, partic...[show_more]
[last_updated.last_updated_variable_days] • [promoted]