REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Senior Principal Machine Learning Engineer, vLLM
XX
Senior Principal Machine Learning Engineer, vLLMDormont Manufacturing Co • Boston, Massachusetts, United States
Jetzt Bewerben
XX

Senior Principal Machine Learning Engineer, vLLM

Dormont Manufacturing Co
  • US
    Boston, Massachusetts, United States
  • US
    Boston, Massachusetts, United States
Jetzt Bewerben

Über

Job Summary
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. RedHat AI 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 quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments. As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with our technical and research teams to develop LLM training and deployment pipelines, implement model compression algorithms, and productize deep learning research. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in 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 various inference optimization algorithms in the vLLM, and related projects, such as llm-d, LLM‑compressor and speculators. Create and manage inference serving deployment pipelines. Benchmark, profile, and evaluate different parallelizations, quantization and sparsification approaches to determine the best performance for specific hardware and models. Participate in technical design discussions and provide innovative solutions to complex problems. Stay up‑to‑date with the latest advancements in the open source LLM model architecture, LLM inference parallelizations / optimizations techniques, and quantization research. Stay up‑to‑date of latest CPU and GPU hardware architecture and features to boost AI inference performance. Give thoughtful and prompt code reviews. Mentor and guide other engineers and foster a culture of continuous learning and innovation. Continuous collaboration with internal and external open source committers and contributors while contributing to vLLM and related projects. What you will bring
Strong understanding of machine learning and deep learning fundamentals with experience in one or more of LLM inference optimizations, computer vision, NLP, and reinforcement learning. Experience with tensor math libraries such as PyTorch and NumPy. Strong programming skills with proven experience implementing Python based machine learning solutions. Ability to develop and implement research ideas and algorithms. Experience with mathematical software, especially linear algebra. Understanding of linear algebra, gradients, probability, and graph theory. Strong communications skills with both technical and non‑technical team members. BS, or MS in computer science or computer engineering or a related field. A PhD in a ML related domain is considered a strong plus. Salary range
The salary range for this position is $206,600.00 - $351,050.00. Actual offer will be based on your qualifications. 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 RedHat located in the United States. Equal Opportunity Policy (EEO)
RedHat 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. RedHat 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 RedHat and the recruitment agency or party requesting payment of a fee. RedHat 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.
#J-18808-Ljbffr
  • Boston, Massachusetts, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.