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.similar_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]
Principal Machine Learning Engineer, Distributed vLLM Inference

Principal Machine Learning Engineer, Distributed vLLM Inference

Red Hat • Boston, MA, United States
[job_card.full_time]
Principal Machine Learning Engineer, Distributed vLLM Inference.Principal Machine Learning Engineer, Distributed vLLM Inference. At Red Hat we believe the future of AI is open and we are on a missio...[show_more]
[last_updated.last_updated_30] • [promoted]
Staff / Principal ML Ops Engineer

Staff / Principal ML Ops Engineer

PRAGMATIKE • Boston, MA, US
[job_card.full_time]
Cambridge, MA (Eastern Time / UTC -4).Pragmatike is hiring on behalf of a.AI startup recognized as a Top 10 GenAI company by GTM Capital. Staff / Principal ML Ops Engineer.ML infrastructure and prod...[show_more]
[last_updated.last_updated_1_hour] • [promoted] • [new]
Principal DevOps Engineer - AI / ML (Remote US)

Principal DevOps Engineer - AI / ML (Remote US)

BioLegend, Inc. • Boston, MA, 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]
Distinguished MLOps Engineer - Remote

Distinguished MLOps Engineer - Remote

Acxiom • Boston, MA, United States
[filters.remote]
[job_card.full_time]
Acxiom is seeking a highly experienced and visionary Distinguished MLOps Engineer to spearhead the design and development of scalable MLOps platform to support Acxiom’s modeled data product builds....[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Senior ML Engineer for AI / ML Risk Platform

Senior ML Engineer for AI / ML Risk Platform

Coinbase • Boston, MA, United States
[job_card.full_time]
A leading cryptocurrency platform in Boston is looking for a Machine Learning Engineer to develop AI systems that enhance productivity and customer interaction. The ideal candidate will have over 10...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Senior Machine Learning Engineer

Senior Machine Learning Engineer

OneStudyTeam • Boston, MA, US
[job_card.full_time]
At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes...[show_more]
[last_updated.last_updated_30] • [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]
Biomedical ML Engineer II / III — AI Pathology

Biomedical ML Engineer II / III — AI Pathology

PathAI • Boston, Massachusetts, United States
[job_card.full_time]
A leading healthcare technology firm is hiring Machine Learning Engineers to develop and deploy AI models for enhancing patient outcomes. Candidates should have strong backgrounds in Python and mach...[show_more]
[last_updated.last_updated_1_hour] • [promoted] • [new]
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_1_day] • [promoted]
Senior AI / ML Engineer for Cancer Research & Clinical AI

Senior AI / ML Engineer for Cancer Research & Clinical AI

Dana-Farber Cancer Institute • Boston, MA, United States
[job_card.full_time]
A cancer research organization in Boston seeks a Principal Artificial Intelligence & Machine Learning Engineer I / Scientist I. This role involves collaborating with physician scientists and leading r...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Senior Machine Learning Engineer (MLOps)

Senior Machine Learning Engineer (MLOps)

SimpliSafe • Boston, MA, US
[job_card.full_time]
SimpliSafe is a leading innovator in the home security industry, dedicated to making every home a safe home.With a mission to provide accessible and comprehensive security solutions, we design and ...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Senior ML Operations Engineer

Senior ML Operations Engineer

Whoop • Boston, MA, US
[job_card.full_time]
At WHOOP, we're on a mission to unlock human performance and healthspan.WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.We are...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
ML Engineer

ML Engineer

Catalyst Labs • Boston, MA, US
[job_card.full_time]
Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-w...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
ML Engineer — Open-Source LLM Inference (vLLM)

ML Engineer — Open-Source LLM Inference (vLLM)

Red Hat, Inc. • Boston, Massachusetts, United States
[job_card.full_time]
A leading technology company is seeking a Machine Learning Engineer focused on vLLM to work on innovative AI solutions.In this role, you will develop systems to enhance model performance and effici...[show_more]
[last_updated.last_updated_1_hour] • [promoted] • [new]
Senior Healthcare ML Engineer — LLMs & Data Pipelines

Senior Healthcare ML Engineer — LLMs & Data Pipelines

C the Signs • Boston, MA, 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]
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Code Metal • Boston, MA, US
[filters.remote]
[job_card.full_time]
[filters_job_card.quick_apply]
At Code Metal, we transform vast datasets, advanced AI models and high-performance infrastructure into actionable intelligence. As a Machine Learning Engineer, you will play a critical role in desig...[show_more]
[last_updated.last_updated_30]