Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

At 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 vLL...

Fulltime Remote Ai Machine Learning

$136k - $225k · Senior Fully remote

View details

We’re hiring a Senior / Lead AI Engineer to join AytmaTech’s outsourcing pool and lead AI-driven solution development...

Fulltime Remote Ai Ai Engineer

Fully remote

View details

AI ENGINEER - AZURE & C# .NET or PYTHON Up to £60,000.00 Home Based with occasional travel Are You... An AI Engineer,...

Fulltime Remote Ai Ai Engineer

$76k* · Senior Fully remote

View details

We’re looking for a Lead AI Engineer to join our AI incubator team focused on scouting and validating strategic inter...

Remote Ai Ai Engineer Machine Learning

$57k* · Senior Fully remote

View details

POS-31288 We are currently hiring for two similar positions on this team: this AI Engineer role and a Senior AI Engin...

Remote Ai Ai Engineer Generative Ai

$115k - $172k · Senior Fully remote

View details

POS-32159 We are currently hiring for two similar positions on this team: this Senior AI Engineer role and an AI Engi...

Remote Ai Ai Engineer Generative Ai

$148k - $222k · Senior Fully remote

View details

Sr Cloud Engineer - IE07NE We’re determined to make a difference and are proud to be an insurance company that goes w...

Fulltime Ai Machine Learning Data Science

$137k - $205k · Senior Fully remote

View details

Přehled Research Scientist (or Postdoctoral Researcher) for ONIM‑RAM The Nuclear Physics Institute of the Czech Acade...

Fulltime Remote Ai

Fully remote

View details

We are looking for a Biology Research Scientist to join our team to train AI models. You will measure the progress of...

$12k* · Senior Fully remote

View details

We are looking for a Research Scientist (Biology) to join our team to train AI models. You will measure the progress ...

$12k* · Senior Fully remote

View details

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technolo...

Fulltime Remote Ai Data Science

$90k - $135k* · Senior Fully remote

View details

Data Scientist (m/f/x) Location: Germany or UK (Remote) Who You’ll Work For: At Makersite, we're pioneering the futur...

Fulltime Remote Data Science Ai

Fully remote

View details

Pay found in job post Retrieved from the description. Base pay range $40.00/hr - $45.00/hr

Remote Data Science Ai

Fully remote

View details

We Are Hiring: Data Scientist (Fresher / Entry-Level | 0–3 Years) We are looking for enthusiastic fresh graduates who...

Fulltime Remote Machine Learning Data Science

Fully remote

View details

We’re working with a digital client looking to bring on an experienced Data Scientist to support applied analytics an...

Contract Remote Machine Learning Data Science

Fully remote

View details

Data Scientist – Environmental Resilience Databank (KSEF) Company: Kentucky Science and Technology Corporation (KSTC)...

Remote Data Science Ai

Fully remote

View details

Data Scientist About KAPS Solutions: KAPS Solutions is a leading small business provider of business consulting servi...

Fulltime Contract Remote Data Science

$120k - $150k · Senior Fully remote

View details

Title: Data Scientists / Statisticians Location: Remote Duration Long Term Experience: 8 Years NOTE: This position is...

Contract Remote Data Science Ai

$104k - $114k · Senior Fully remote

View details

We are a hybrid, remote-office company dedicated to growing our talent anywhere! We have onsite locations in: Sioux F...

Remote Ai Engineer Ai

$86k - $145k · Senior Fully remote

View details

We are looking for an Applied Machine Learning Engineer to join our team to train AI models. You will measure the pro...

Machine Learning Ai

$12k* · Senior Fully remote

View details

Selected role

Machine Learning Engineer, Distributed vLLM

Red Hat Boston, MA, US

$136k - $225k Senior Full-time

Job Summary

At 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. The Red Hat AI Inference Engineering team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM and LLM-D projects, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.

As a Machine Learning Engineer focused on distributed vLLM infrastructure in the llm-d project, you will be at the forefront of innovation, collaborating with our team to tackle the most pressing challenges in scalable inference systems and Kubernetes-native deployments. Your work with machine learning, distributed systems, high performance computing, and cloud infrastructure will directly impact the development of our cutting-edge software platform, helping to shape the future of AI deployment and utilization. If you want to solve cutting edge problems at the intersection of deep learning, distributed systems, and cloud-native infrastructure the open-source way, this is the role for you.

Join us in shaping the future of AI!

What you will do

Contribute to the design, development, and testing of new features and solutions for Red Hat AI Inference
Innovate in the inference domain by participating in upstream communities
Develop and maintain distributed inference infrastructure leveraging Kubernetes APIs, operators, and the Gateway Inference Extension API for scalable LLM deployments.
Develop and maintain system components in Go and/or Rust to integrate with the vLLM project and manage distributed inference workloads.
Develop and maintain KV cache-aware routing and scoring algorithms to optimize memory utilization and request distribution in large-scale inference deployments.
Enhance the resource utilization, fault tolerance, and stability of the inference stack.
Develop and test various inference optimization algorithms.
Actively participate in technical design discussions
Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
Collaborate with other engineering and cross-functional teams to deliver on engineering deliverables
Communicate effectively to team members to ensure proper visibility of development efforts
Be taught, coached, and mentored by senior members of the team
Provide timely and constructive code reviews

What you will bring

Strong proficiency in Python and/or GoLang or similar language
Experience with cloud-native Kubernetes service mesh technologies/stacks such as Istio, Cilium, Envoy (WASM filters), and CNI.
Working understanding of Layer 7 networking, HTTP/2, gRPC, and the fundamentals of API gateways and reverse proxies.
Knowledge of serving runtime technologies for hosting LLMs, such as vLLM, SGLang, TensorRT-LLM, etc.
Excellent written and verbal communication skills, capable of interacting effectively with both technical and non-technical team members.
Ability work independently in a dynamic, fast-paced environment

Following is considered a plus

Proficiency in C, C++, or Rust
Experience with the Kubernetes ecosystem, including core concepts, custom APIs, operators, and the Gateway API inference extension for GenAI workloads.
Working knowledge of high-performance networking protocols and technologies including UCX, RoCE, InfiniBand, and RDMA is a plus.
Experience with GPU performance benchmarking and profiling tools like NVIDIA Nsight or distributed tracing libraries/techniques like OpenTelemetry.
Experience in writing high performance code for GPUs and deep knowledge of GPU hardware
Strong understanding of computer architecture, parallel processing, and distributed computing concepts
Bachelor's degree in computer science or related field is an advantage, though we prioritize hands-on experience
Active engagement in the ML research community (publications, conference participation, or open source contributions) is a significant advantage

#LI-MD2

#AI-HIRING #vllm-1

The salary range for this position is $136,320.00 - $225,090.00. 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

Red Hat is the world’s leading provider of enterprise open source 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 [email protected]. General inquiries, such as those regarding the status of a job application, will not receive a reply.

Showing 1221–1240 of 5,394 AI roles

1 … 60 61 63 64 270

Find your next AI role

Machine Learning Engineer, Distributed vLLM

Senior / Lead AI Engineer

AI Engineer - Azure / C# .NET or Python

Lead AI Engineer [y330f]

AI Engineer (AIMS Martek)

Senior AI Engineer (AIMS Martek)

Senior AI Machine Learning Engineer

Research Scientist (or Postdoctoral Researcher) for ONIM‑RAM

Biology Research Scientist

Research Scientist (Biology)

Data Scientist II, Real World Evidence (RWE), Pharma R D

Senior Data Scientist (m/f/x)

Data Scientist Intern - REMOTE

Data Scientist

Data Scientist

Data Scientist - Environmental Resilience Databank (KSEF)

Data Scientist - TS/SCI Cleared

Data Scientists / Statisticians

AI Engineer, Senior

Applied Machine Learning Engineer