Explore AI roles · Updated daily

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

Keyboard friendly Save and share roles

Principal Machine Learning Engineer – Model Training and Customization Job Summary Come be a part of Red Hat's charge...

Engineer Machine Learning Executive Education

$189k - $312k · Senior Fully remote

View details

The pay range is $95,000.00 - $171,000.00 Pay is based on several factors which vary based on position. These include...

Python Fulltime

$95k* · Senior Fully remote

View details

User Researcher - Music New York, NY Design and User Experience – Music / Permanent / Remote Apply for this job The M...

Research Music Fulltime

$108k - $154k · Senior Fully remote

View details

Software Engineer, New Grad - Production Infrastructure New York, NY Dev / Full-time / Hybrid Apply for this job A Wo...

Infrastructure Engineer Intern Entry Level

$145k - $155k · Senior Fully remote

View details

Software Engineer, Internship - Production Infrastructure New York, NY Dev / Internship / On-site Apply for this job ...

Infrastructure Engineer Intern Entry Level

$126k* · Senior Fully remote

View details

Applied AI, Forward Deployed Machine Learning Engineer- Singapore Singapore Solutions / Full-time / On-site Apply for...

Ai Engineer Machine Learning Pytorch

$94k - $105k* · Senior Fully remote

View details

Applied AI, Forward Deployed Machine Learning Engineer - NYC New York Solutions / Full-time / On-site Apply for this ...

Ai Engineer Machine Learning Pytorch

$94k - $105k* · Senior Fully remote

View details

Applied AI, Forward Deployed Machine Learning Engineer - Luxembourg Luxembourg Solutions / Full-time / On-site Apply ...

Ai Engineer Machine Learning Pytorch

$94k - $105k* · Senior Fully remote

View details

Applied AI, Forward Deployed Machine Learning Engineer - EMEA Paris / London / Luxembourg / Marseille / Amsterdam / M...

Ai Engineer Machine Learning Pytorch

$115k - $184k* · Senior Fully remote

View details

Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - Singapore Singapore Solutions / Full-time / On-...

Ai Engineer Machine Learning Senior

$126k - $199k* · Senior Fully remote

View details

Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - EMEA Paris / London / Luxembourg / Marseille / ...

Ai Engineer Machine Learning Senior

$126k - $199k* · Senior Fully remote

View details

Software Engineer, Research Team - Paris/London Paris / London Research / Full-time / Hybrid Apply for this job About...

Research Engineer Dev Java

$84k - $95k* · Senior Fully remote

View details

Research Engineer, Machine Learning - Paris/London Paris / London Research / Full-time / Hybrid Apply for this job Ab...

Research Engineer Machine Learning Tensorflow

$101k - $154k* · Senior Fully remote

View details

Backend Engineer - Subscriptions Stockholm / London Engineering – Subscriptions R&D / Permanent / Hybrid Apply for th...

Backend Engineer R Fulltime

$61k* · Senior Fully remote

View details

Senior Data Scientist

Tensorflow Scikit Learn Keras Python

Fully remote

View details

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new pos...

Engineer Machine Learning Senior Remote

$150k - $310k · Senior Fully remote

View details

AI Software Engineer (Generative AI) Azumo, a leading AI Development company, is seeking a highly motivated AI Softwa...

Remote Ai Engineer Dev

$109k - $115k* · Senior Fully remote

View details

Meet DeepL DeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to b...

Python Kubernetes Aws Fulltime

Fully remote

View details

Note: The job is a remote job and is open to candidates in USA. Quince is a retail and technology company aiming to p...

Remote Scientist Machine Learning Executive

$115k - $117k* · Senior Fully remote

View details

Develops business requirements, analyzes systems design, and implements business models. Leads the development of ass...

Research Scientist Operations Remote

$120k - $144k* · Senior Fully remote

View details

Selected role

Principal Machine Learning Engineer - Model Training and Customization

Red Hat, Inc. Anywhere

$189k - $312k Senior Full-time

Principal Machine Learning Engineer – Model Training and Customization Job Summary Come be a part of Red Hat's charge to democratize AI with open source! Red Hat's Global Engineering Team is looking for a Principal Machine Learning Engineer to join our newly formed AI Engineering organization. This role will be located within the AI Innovation team, which conducts customer- and science-driven research to drive innovation for Red Hat's customers. The team focuses on a pattern of "research → open-source software → product" as the way we operate our engineering work. This role will be focused on architecting and building the core logic and enhancements for our model fine-tuning and post-training libraries. In this role, you will work directly with research scientists and open source AI communities to design, build, and improve implementations of novel training methods, ranging from SFT, continual learning, and offline preference tuning to online reinforcement learning methods like GRPO and RLHF. You will develop working relationships across multiple teams, driving contributions to both upstream open source projects and our internal Training Hub, while providing technical leadership on architecture decisions and implementation strategies. The ideal candidate will be a highly collaborative individual with a passion for working on complex ML projects in an open organization where contributions are valued and expected from all levels. As this is a fast-moving area of opportunity for Red Hat, the ability to communicate productively and effectively with team members and stakeholders is critical. Success in this role would be delivering robust, scalable training libraries that bridge cutting-edge research with production needs while establishing technical standards and best practices. This position reports directly to the Manager of AI Innovation. This position may require occasional travel to partner collaboratively in our Boston, MA office multiple times per quarter. Successful applicants must reside in a state where Red Hat is registered to do business. What you will do Architect and develop core libraries for various model post-training methods and innovations. Lead technical design decisions for training infrastructure and algorithm implementations. Work directly on upstream, open source projects and engage with community needs and contributions. Drive core post-training algorithm research and engineering, introducing new methods both to community efforts and our own Training Hub. Understand and adapt novel architectures and techniques to work with various post-training algorithms, across distributed training frameworks. Optimize, enhance, and improve robustness and usability of both existing and in-flight projects, working closely with researchers to validate prototype logic. Maintain and expand library feature pool, and address core algorithm bugs and blockers. Collaborate with software engineers on interface and testing designs, establishing architectural patterns and standards. Lead code reviews and establish best practices within the engineering team. Document system designs, processes, and model performance for transparency and future reference. Report on project status, challenges, and results to stakeholders. Serve as a technical lead for training and customization components, providing guidance to build knowledge and capabilities within the team. What you will bring Bachelor's degree in computer science or equivalent. Advanced experience in Python development. Deep background in AI/ML projects (neural networks, deep learning, language models, reinforcement learning). Proven experience in research engineering, machine learning engineering, or applied ML roles. Expert-level experience with common model architecture development and adapter frameworks (e.g. PyTorch, Transformers, PEFT, etc.). Strong experience with distributed training frameworks (e.g. FSDP, DeepSpeed) and inference runtimes (e.g. vLLM). Demonstrated experience in open-source projects and collaborative development workflows. Strong background in software development or engineering, building robust and consumable libraries and implementations. Experience with unit testing, integration testing, and performance testing. Experience designing and implementing complex ML systems at scale. Strong self-motivation and organizational skills. Ability to handle multiple concurrent projects effectively. Strong technical leadership and collaboration skills. Excellent written and verbal communication skills. Positive attitude and willingness to share ideas openly. Considered a plus Masters or PhD in Machine Learning (ML) / Natural Language Processing (NLP). Experience with MLOps and deployment systems (e.g., Kubeflow, MLflow, Kubernetes, CI/CD pipelines). Experience writing functional, end-to-end or coverage tests in Python. Experience with GitHub Actions, GitHub automation, or CI/CD practices. Experience reading/writing, publishing, and/or implementing research papers. Experience with Red Hat products. Deep experience with large language models and their training methodologies. Contributions to major open-source ML frameworks or libraries. Experience leading technical initiatives in ML infrastructure. #LI-JC2 #AI-Hiring The salary range for this position is $189,600.00 - $312,730.00. 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. We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge. 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.

Showing 2161–2180 of 2,243 AI roles

1 … 107 108 110 111 113

Find your next AI role

Principal Machine Learning Engineer - Model Training and Customization

Sr Data Scientist - Merchandise Scaling (Applied ML, Python, ML Ops))

User Researcher - Music

Software Engineer, New Grad - Production Infrastructure

Software Engineer, Internship - Production Infrastructure

Applied AI, Forward Deployed Machine Learning Engineer- Singapore

Applied AI, Forward Deployed Machine Learning Engineer - NYC

Applied AI, Forward Deployed Machine Learning Engineer - Luxembourg

Applied AI, Forward Deployed Machine Learning Engineer - EMEA

Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - Singapore

Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - EMEA

Software Engineer, Research Team - Paris/London

Research Engineer, Machine Learning - Paris/London

Backend Engineer - Subscriptions

Senior Data Scientist

Sr. Machine Learning Engineer, Computer Vision

AI Software Engineer (Generative AI) - Remote

Senior Research Data Engineer

[Remote] Principal Data Scientist, ML - Planning

Operations Research Scientist II