Remote HPC Engineer, Machine Learning Infrastructure - US Jobs in San Francisco, CA

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Artificial Intelligence (AI) / Machine Learning (ML) Engineer

Data Wave Technologies Inc

Remote

Contract

Job Title: Artificial Intelligence (AI) / Machine Learning (ML) Engineer Location: Remote Duration: Full Time Job Summary Bachelor's/master's degree in engineering, Computer Science (or equivalent experience) At least 5+ years of relevant experience as an MLOps Engineer At least 3+ years of experience with transformer-based models and NLP, preferably in a healthcare context Strong track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or Torc

Software Engineer (L4), Consumer ML Model Compute /6 Serving Systems

Netflix, Inc.

Remote

Full-time

Netflix is the world's leading streaming entertainment service, with over 230 million paid memberships in over 190 countries, enjoying TV series, documentaries, and feature films across various genres and languages. Members can watch or play as much as they want, anytime, anywhere, on any internet-connected screen. Machine Learning/Artificial Intelligence powers numerous aspects of the Consumer Experience, including innovation in content discovery and personalization for members, identifying an

Machine Learning Engineer - W2 ONLY

nTech Solutions

Remote

Contract

**This is NOT a C2C position Role: Machine Learning Engineer - W2 ONLY Terms of Employment Contract, 12 Months (Likely Extension)This position is remote. Candidates should be based in the Eastern Time Zone. Once or twice per quarter, this individual should be willing to travel to the Washington, DC / Northern Virginia area for moments that matter meetings.Overview It is an exciting time to join the Data Science team with our client - service offerings are growing, the engineering platform is roc

Machine Learning Engineer

InterSources Inc.

Remote

Full-time

Job Title: Machine Learning Engineer Required Skills: Back-end server & SDK development Programming languages (Go / grpc, Java, python) Control all technical, functional, and visual aspects of the software in progress. Adapting the application to various devices Software optimization Ensuring the design works well with the functionality of the finished product Proficient Google Cloud Platform Vertex Al components and SDK experience - React Ul experience Work with development teams and produc

Machine Learning Engineer

Kforce Technology Staffing

Remote or Beaverton, Oregon, USA

Contract

RESPONSIBILITIES: Kforce has a client in Beaverton, OR that is seeking a Machine Learning Engineer. REQUIREMENTS: Knowledge of: * Techniques for model compression, quantization, and optimization for deployment in resource-constrained environments * Distributed computing frameworks like Apache Spark and GPU acceleration tools like CUDA for efficient model training and inference * Using data visualization libraries like Matplotlib, Seaborn, Plotly, and tools like Tableau, Splunk, and SignalFX for

Machine learning Operations engineer

Highbrow Technology Inc

Remote

Full-time

Position : MLOPs Technical Lead Remote Fulltime JD : Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience) At least 5+ years of relevant experience as an MLOps Engineer At least 3+ years of experience with transformer-based models and NLP, preferably in a healthcare context Strong track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe Proficiency in data science tools such as Pandas, Notebooks, N

ML-OPS Engineer

Heliogic LLC

Remote

Full-time

Title: ML-OPS Engineer Location: Sunnyvale, CA- Can be remote Remote: Yes Position type: Full-Time Skills: Python, SQL, ML, AWS, Sagemaker, Deep Learning. Train and Deploy ML Models using Python 7+ years of Experience in Machine Learning models in Python Proficiency in ML techniques like Regression, Classification, Clustering, Recommender Systems, Forecasting etc. MLOps experience is a bonus Experience on working on AWS Ability to deploy ML models with REST based APIs Experience with Docker/K

Cloud Infrastructure Engineer

SSN Group LLC

Remote

Contract

Hi, Job Title: Cloud Infrastructure Engineer Duration: Long term Location: Remote Required:Experience with deployment and orchestration technologies (such as Docker, Kubernetes, EKS, Openshift,)Continuous integration and continuous delivery experienceWorking knowledge of cloud computing including virtualization, hosted services, multi-tenantExperience architecting and developing software or infrastructure for scalable, distributed systemsExperience creating and maintaining Gitlab CI pipelinesExp

Machine Learning Engineer

Kforce Technology Staffing

Remote or Beaverton, Oregon, USA

Contract

RESPONSIBILITIES: Kforce has a client in Beaverton, OR that is seeking a Machine Learning Engineer. In new product design roles: * Develops and programs integrated software algorithms to structure * Analyze and leverage data in product and systems applications in both structured and unstructured environments * Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms In product/systems improvement projects: * Uses machine language and statistical model

ML Engineer/Sr. ML Engineer

Factspan Inc

Remote

Full-time

Job Title: Senior Machine Learning Engineer Location: Remote Type: Fulltime Job Description: We are seeking a highly skilled and experienced Machine Learning Engineer with expertise in scaling and deploying complex ML models, preferably on Kubernetes, using open-source ML frameworks. The ideal candidate will have a strong background in machine learning, and DevOps/MLOps practices. Key Responsibilities: Develop, train, and deploy scalable machine learning models using frameworks such as TensorFlo

Machine Learning Engineer

Kforce Technology Staffing

Remote or Beaverton, Oregon, USA

Contract

RESPONSIBILITIES: Kforce has a client in Beaverton, OR that is seeking a Machine Learning Engineer. In new product design roles: * Develops and programs integrated software algorithms to structure * Analyze and leverage data in product and systems applications in both structured and unstructured environments * Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms In product/systems improvement projects: * Uses machine language and statistical model

Looking for Principal Machine Learning Engineer - Fulltime - Remote US

Epikso

Remote

Full-time

responsible for developing core solutions in data mining, machine learning, anomaly detection and natural language processing, positively impacting multiple existing client's flagship products and new offerings from the company. We are spearheading a fundamental shift in how businesses think about managing their wired and wireless networks by building high-performance, real-time multi-agent systems that can perceive, learn, and act intelligently on behalf of humans. As a part of this group, you

Open-Source ML Release Engineer - US Remote

Hugging Face

Remote or New York, New York, USA

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

ML Engineer with Go and Vertex AI experience (Remote) Only w2 candidate

Valiantica, Inc

Remote

Contract

Title:ML engr-Go-Google Cloud Platform/Vertex exp. This is requirement in US for 2 positions -Remote is fine for nowmust have 5+ years exp1 Back-end server & SDK development - programming languages (Go / grpc , Java , python) - Most important skill -Candidate should be strong in Go/GRPC 2 Google Cloud Platform Vertex AI components and SDK experience - preferred 3 React UI Experience - preferred.

Staff Machine Learning Engineer

Epikso

Remote

Full-time

Our group is responsible for developing core solutions in data mining, machine learning, anomaly detection and natural language processing, positively impacting multiple existing Client flagship products and new offerings from the company. We are spearheading a fundamental shift in how businesses think about managing their wired and wireless networks by building high-performance, real-time multi-agent systems that can perceive, learn, and act intelligently on behalf of humans. As a part of this

Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible)

Capital One

Remote or San Jose, California, USA

Full-time

Locations: VA - McLean, United States of America, McLean, Virginia Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible) Sr Distinguished Engineer, Generative AI Systems Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual ch

Senior Machine Learning Engineer

Nelnet

Remote

Full-time

Nelnet Business Services (NBS), a division of Nelnet, Inc., provides payment technology, education services, and learning management solutions to education and faith-based organizations, serving more than 1,300 higher education institutions, 11,500 K-12 schools, 3,500 churches, and millions of individual students, families, and supporters across the globe. Our culture of service enables us to form long-lasting and trusted partnerships, while our focus on creativity and innovative solutions empow

Distinguished Engineer, Generative AI Systems (Remote Eligible)

Capital One

Remote or San Jose, California, USA

Full-time

Locations: Sales - CA - San Francisco, United States of America, San Francisco, California Distinguished Engineer, Generative AI Systems (Remote Eligible) Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questio

Senior Machine Learning Operations (MLOps) Engineer

Natsoft

Remote

Full-time

MLOps Engineer Extensive experience with TensorFlow or PyTorch, and familiarity with HuggingFaceStrong track record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServe.