Machine Learning Engineer Jobs in Washington, DC

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Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Remote

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. Telecommute from anywhere in the U.S. permitted. (ref. code REQ-2404-135425: $245,588/year - $290,180/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation deta

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Remote

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. Telecommute from anywhere in the U.S. permitted. (ref. code REQ-2404-136676: $215,197/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation deta

ML Engineer (L5) - Ads Platform Engineering

Netflix, Inc.

Remote

Full-time

Netflix is one of the world's leading entertainment services with over 260 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. In April 2022, we introduced new, more affordable, ad-supported tier for our customers, marking a significant milestone for Netflix. Our focus is now on expanding choice

Cloud Machine Learning Engineer - US remote

Hugging Face

Remote

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.

Machine Learning Engineer# REMOTE

Excellerent Technology Solutions

Remote

Contract

Urgent ROLE. Machine Learning Engineer Contractor # REMOTE Job Title: Machine Learning Engineer Duration : Contract Work Location: 100% REMOTE Role Summary: We are seeking a Machine Learning Engineer (MLE) contractor who will play a critical role in developing and implementing machine learning solutions that drive innovation and efficiency across our projects. The ideal candidate will possess a strong foundation in machine learning, data processing, and software development, with the ability to

Senior Software Engineer - AI/ML SME

SmoothStack

Washington, District of Columbia, USA

Full-time

SENIOR SOFTWARE ENGINER - AI/ML SME UNABLE TO WORK WITH THIRD PARTIES Smoothstack is recruiting for a Senior Software Engineer with a strong focus in AI/ML methodologies and significant hands-on experience in Cloud Native development to drive the creation of next-generation, data-driven applications. This position is hybrid in the DMV area. You will be responsible for the following: Lead Cloud Native development initiatives with a strong focus on AI/ML and data science. Design and prototype robu

Senior Post-Sales Machine Learning Engineer - US Remote

Hugging Face

Remote

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.

Machine Learning Engineer, Fast Optimized Inference - US Remote

Hugging Face

Remote

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, Algolia, Grammarly an

Machine Learning Engineer in the Optimization team - US Remote

Hugging Face

Remote

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-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

Machine Learning Engineer (MLOps)

Xoriant Corporation

Remote

Contract

JOB SUMMARY: We are looking for a Machine Learning Engineer to join Emerging Technology Group to be part of our AI and data insight journey. Additionally, this person will help drive our AI implementations related technologies/solutions to address current and future business opportunities. This person must have strong experience with prompt engineering, designing, developing/deploying ML systems, implementing appropriate ML algorithms, conducting experiments, and staying updated with the latest

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.

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.

Remote ML Ops Engineer

Apex Systems

Remote or Johnston, Iowa, USA

Full-time

Job#: 2029742 Job Description: Apex Systems is seeking a Machine Learning Operations Engineer for our Des Moines, IA based client. This role will deploy internal and external/ open-source ML frameworks/models and pipeline in production Kubefarm ensuring seamless functioning of the pipeline. Interested candidates should send their resume to Hunter at Responsibilities Experience in creating and managing production scale Kubernetes clusters, Deep understanding of Kubernetes networkingAn understand

REMOTE AI/ML Curriculum Engineer

Zachary Piper Solutions, LLC

Remote

Full-time

Piper Companies is seeking a Remote AI/ML Curriculum Engineer for a worldwide organization. In this role, you'll partner with the emerging technology team and product managers to continuously expand and develop the company's curriculum . The Remote AI/ML Curriculum Engineer should possess a strong understanding of AI/ML principles and experience developing courses. Responsibilities of the Remote AI/ML Curriculum Engineer include : Collaborate cross-functionally with engineers, data scientists

Product Software Engineer, ML Platform - 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.