Enable job alerts via email!

Machine Learning Engineer- AI Engineering

Red Hat

Boston (MA)

Hybrid

USD 133,000 - 282,000

Full time

2 days ago
Be an early applicant

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

A leading company is seeking a Machine Learning Engineer to join their AI Engineering team. You will design and implement scalable machine learning systems, optimize models, and collaborate with cross-functional teams. This role offers the opportunity to work in a hybrid environment and contribute to innovative AI solutions.

Benefits

Comprehensive medical, dental, and vision coverage
Flexible Spending Account
Health Savings Account
Retirement 401(k) with employer match
Paid parental leave plans
Tuition reimbursement

Qualifications

  • Experience in AI development and machine learning libraries.
  • Ability to quickly learn and use new tools and technologies.

Responsibilities

  • Design and implement machine learning systems.
  • Develop and optimize ML models for production use.
  • Collaborate closely with researchers and software developers.

Skills

AI development
deep learning
feature engineering
communication

Tools

PyTorch
Go
Python
Kubernetes
OpenShift
Docker
Jira
Git

Job description

Machine Learning Engineer- AI Engineering page is loaded

Machine Learning Engineer- AI Engineering
Apply remote type Hybrid locations Boston Raleigh posted on Posted 2 Days Ago job requisition id R-046440

Machine Learning Engineer

The future of open source AI starts with you. At Red Hat, we’re looking for engineers who want to become an integral part of democratizing Al technology, making open source AI available and accessible to all.

Al Engineering is a newly formed team where you'll have the scope and impact to make your mark and get your ideas into people's hands. Red Hat's open culture fosters collaboration and allows the best ideas to grow. You will have the opportunity to actively participate in communities like KServe, Kubeflow, and VLLM, and be part of a team that values and expects contributions from all levels. Here, you'll have freedom to innovate, and to focus on challenging, high-impact work that makes a difference.

We’re looking for Machine Learning Engineers across two teams: InstructLab and OpenShift AI. In this role, you will build, optimize, and scale machine learning models while contributing to innovative AI-driven solutions, and assisting users in understanding ML predictions. During the hiring process, we'll work with you to determine the best team placement based on your background and interests. While the core job requirements remain consistent, your day-to-day responsibilities will align with your chosen team's objectives.


Ideally, applicants should be located in the Boston, MA or Raleigh, NC area. However, we are open to considering candidates for remote work opportunities, depending on the specific role and required technical skills.

What you will do
Specific responsibilities will vary based on team placement, but may include:
Design and implement machine learning systems
Develop and optimize ML models for production use
Create and maintain ML infrastructure and pipelines
Ensure ML systems are scalable and maintainable
Collaborate with data scientists to productionize models
Collaborate closely with researchers, software developers, and upstream AI/ML communities

What you will bring
Experience in AI development, deep learning, machine learning libraries (e.g. pytorch, scikit-learn), prompt engineering, and/or fundamental mathematics
Experience in feature engineering
Experience in PyTorch, Go, & Python development
Experience in Kubernetes, OpenShift, Docker, or other cloud-native technologies
Experience in agile development, Jira, and Git
Ability to quickly learn and use new tools and technologies
Excellent written and verbal communication skills


#AI-HIRING

#LI-MD2

The salary range for this position is $133,650.00 - $281,770.00. 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 application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs

Machine Learning Engineer- AI Engineering

Red Hat

Boston

Remote

USD 133,000 - 282,000

Today
Be an early applicant

Software Quality Engineer, AI Engineering

Red Hat

Boston

Remote

USD 108,000 - 174,000

Today
Be an early applicant

Generative AI Engineer (LLM Expert)

Saviance

Boston

Remote

USD 129,000 - 224,000

15 days ago

Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)

Lensa

San Jose

Remote

USD 131,000 - 182,000

2 days ago
Be an early applicant

Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)

Lensa

Washington

Remote

USD 131,000 - 182,000

2 days ago
Be an early applicant

Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)

Lensa

San Jose

Remote

USD 120,000 - 150,000

Today
Be an early applicant

4372 - AI Software Engineer, Legal Prompting & LLM Dev.

Nixon Peabody LLP

Boston

Remote

USD 118,000 - 175,000

7 days ago
Be an early applicant

Machine Learning Engineer- AI Engineering

Red Hat

Boston

Hybrid

USD 133,000 - 282,000

Yesterday
Be an early applicant

Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)

Splunk Inc.

Remote

USD 117,000 - 202,000

2 days ago
Be an early applicant