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Remote Paper Machine Jobs in Needham, MA (NOW HIRING)

Machine Learning Team Lead

Somerville, MA ยท On-site +1

$170K - $210K/yr

Experience communicating research externally (papers, conferences, etc.) * Strong experience with ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Machine Learning Team Lead

Somerville, MA ยท On-site +1

$170K - $210K/yr

Experience communicating research externally (papers, conferences, etc.) * Strong experience with ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

Sofware Engineer (AI/ML)

Boston, MA ยท On-site +1

$108K - $173K/yr

... papers (often featured in top AI conferences like NeurIPS, ICLR, and ICML) onto the Red Hat AI ... Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow). * Exposure to cloud ...

Publish blogs, white papers and conference contributions * Collaborate with Product Development and ... Hands-on experience with leading deployment models (containers, virtual machines, hypervisors ...

Remote Paper Machine information

See Needham, MA salary details

$16

$23

$28

How much do remote paper machine jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for remote paper machine in Needham, MA is $23.23, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $24.86 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Paper Machine Operator, and why are they important?

To thrive as a Paper Machine Operator, you need strong mechanical aptitude, attention to detail, and a high school diploma or equivalent, with some roles requiring technical training. Familiarity with industrial control systems, quality monitoring tools, and safety protocols is often necessary. Problem-solving skills, teamwork, and clear communication help operators adapt to changing production needs and resolve issues quickly. These skills are crucial for maintaining efficient, safe, and high-quality paper production in a manufacturing environment.

What is the difference between Remote Paper Machine vs Paper Machine Operator?

AspectRemote Paper MachinePaper Machine Operator
CredentialsHigh school diploma, technical trainingHigh school diploma, technical training
Work EnvironmentRemote, often from home or officeOn-site at paper mill
Industry UsageInvolved in monitoring, data analysis, and remote control systemsDirect operation and maintenance of paper machines
Job FocusSupervision, troubleshooting remotely, system managementHands-on machine operation, adjustments, and troubleshooting

The main difference is that Remote Paper Machine roles focus on overseeing and managing paper production remotely, while Paper Machine Operators work directly on-site to operate and maintain the machinery. Both roles require technical skills, but their work environments and daily tasks differ significantly.

What are some common challenges faced by remote paper machine operators, and how can they be addressed?

Remote paper machine operators often encounter challenges related to communication and troubleshooting equipment issues from a distance. Since they are not physically present on the production floor, they rely heavily on real-time data, remote monitoring tools, and close coordination with on-site staff. Building strong communication channels and staying updated with the latest monitoring technologies can help mitigate these challenges. Regular virtual meetings and clear documentation also ensure that remote operators are aligned with the rest of the team and can address issues promptly.

What are remote paper machine operators?

Remote paper machine operators are professionals who monitor and control the operations of paper manufacturing machinery from a remote location, often using advanced digital systems and monitoring tools. Their responsibilities include ensuring that the machines run efficiently, troubleshooting issues, and maintaining product quality without being physically present at the manufacturing site. This role leverages technology to enable real-time data analysis and machine adjustments, improving safety and operational efficiency. Remote paper machine operators typically collaborate with on-site staff and technical teams to resolve issues and optimize production.
What job categories do people searching Remote Paper Machine jobs in Needham, MA look for? The top searched job categories for Remote Paper Machine jobs in Needham, MA are:
Infographic showing various Remote Paper Machine job openings in Needham, MA as of May 2026, with employment types broken down into 66% Full Time, 28% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $48,328 per year, or $23.2 per hour.

Machine Learning Systems Research Intern, PhD, Summer 2026

Redhat

Boston, MA โ€ข On-site, Remote

Full-time

Posted 2 hours ago


Job description

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. We are seeking a highly motivated summer intern to join our Machine Learning Research Team. As an intern, you will work on cutting-edge AI inference and model optimization techniques, and contribute to research and engineering efforts that make LLMs faster and more efficient. This is an exciting opportunity to gain hands-on experience in applied machine learning research while working with leading experts in the field.

Responsibilities
  • Research and implement techniques for LLM inference and LLM optimizations.

  • Conduct experiments to evaluate the impact of optimization methods on model accuracy, latency, and throughput.

  • Collaborate with researchers and engineers to integrate optimizations into real-world machine learning workflows.

  • Document findings and contribute to technical reports, blog posts, or research publications.

Requirements
  • Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Machine Learning, or a related field.

  • Strong programming skills in C++, CUDA, and Python.

  • Experience with tensor math libraries such as PyTorch.

  • Familiarity with AI model optimization techniques such as quantization (e.g., INT4, FP8), pruning, and knowledge distillation.

  • Deep understanding and experience in GPU performance optimizations.

  • Excellent knowledge of large language model architectures

  • Strong analytical and problem-solving skills.

  • Excellent communication skills and ability to work in a team-oriented research environment.

  • Background in efficient inference techniques for large-scale language models or computer vision models.

  • Prior experience contributing to open-source ML frameworks or research publications.

  • 1 or more co-authored papers at a top tier conference like NeurIPS, ICLR, ACL, CVPR, MLSys is a big plus.

Why work with us
  • Hands-on experience with state-of-the-art AI inference optimization research.

  • Mentorship from leading experts in machine learning and model efficiency.

  • Opportunity to contribute to research papers, patents, or open-source projects.

  • Competitive stipend and potential for full-time opportunities.

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.

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.