דרושים Research Scientist Intern ב-Red Hat ב-United States, Boston

Job Summary:

As an intern, you will work closely with your mentor and gain experience on the marketing side, and you will be interacting with a broader team both locally and globally. The Product Marketing Marketing Manager (PMM) role, is a crucial role within an organization to develop and execute marketing plans for new and existing products. The intern will become familiar with and may be responsible for conducting market research, creating marketing materials, and managing the company's social media presence. The PMM works with cross-functional teams and the product manager to ensure the product's success.

In this role, you will work in an environment where diverse perspectives are invited, the best ideas are valued, and people feel empowered to contribute. Freedom and courage are two of our core values, which is why you can practice taking risks and exploring the unknown and developing strengths. Yet being a Red Hatter isn't just about being brave; it's also about demonstrating commitment and sticking to it.

Job Responsibilities:

• Work closely with your manager and mentor to learn to:

• Conduct market research, customer surveys, analyst inquiries, sales interviews, etc. to understand the market trends and potentially documenting case studies

• Develop and execute marketing plans for new, existing and multi-product offerings, which may include whitepaper, blogs, videos, website copy, and social media

• Create and/or refresh marketing assets and content, including presentations, case studies, solution briefs, web content, and data sheets for new, existing and multi product offerings

• Collaborate with partner business units and corporate marketing to ensure that assets are current, optimized, and impacting target business outcomes

• Produce internal communications and routinely update internal partners on program efforts and metrics

• Coordinate with your peers to ensure collaboration and consistency in all we do.

Required Skills:

• Excellent written and verbal communication skills.

• Passion, curiosity, and desire to learn

• Willingness to create new things and proactively working as a part of a wider team.

• Excellent critical thinking and problem-solving skills.

• Currently working towards a bachelor’s degree in a related major.

• Experience with social media marketing a plus

• Ability to

• Manage tasks and meet deadlines

• Understand of industry trends and best practice

• Analyze data to foster data-driven decisions

• Employ a customer focused approach

• Learn new technologies, such as; Google Workspace, Jira, Slack

What you will do:

During your first year as a Junior Technical Account Manager, you’ll participate in the FASTER Program, Field Accelerator for Sales and Technical Emerging Roles (we do love a good acronym), a comprehensive 12-month onboarding and development program designed to provide you with the deep technical knowledge, customer engagement skills, and industry insights needed to excel. You'll gain hands-on experience with Red Hat's diverse portfolio, learn from seasoned experts, and contribute to real-world customer solutions from day one. This cohort-based program starts in September 2026. Through this experience, you will:

• Discover all about Red Hat and how we support our customers in addressing their technical, developmental, and strategic business challenges with our comprehensive portfolio and services

• Build a strong support network of your Peers, Manager, Mentor, and other Red Hatters within and outside of your team

• Develop technical skills in the Red Hat portfolio that span Cloud, Automation, and AI solutions by completing training programs and attaining industry-recognized certifications

• Shadow and assist more experienced members as they deliver strategic technical and architectural guidance to key customers

• Enhance your professional capabilities through real-world experiences working directly with customers and participating in skill development opportunities.

• Focus on your personal and professional development as you grow your career at Red Hat.

• Support the Sales organizations’ goals to deliver customer business value, building enterprise IT solutions based on Red Hat platforms that create a trusted, consistent, and comprehensive foundation for any enterprise.

As a Junior Technical Account Manager, you will also:

• Respond to customer inquiries and requests, following established procedures

• Document customer interactions and track issue resolution progress in designated systems

• Escalate complex technical issues to senior team members for guidance and resolution

• Participate in internal training programs to develop product knowledge and technical skills

• Perform customer onboarding and account maintenance tasks with the assistance of senior team members

• Proactively identify and document known solutions for common technical challenges

• Contribute to the creation and maintenance of knowledge base articles and support documentation

What you will bring

• Passion and curiosity for open source technology, desire to build a career within the Tech industry, and expertise in emerging technologies

• Strong technical skills in computer science, IT, AI, or related fields, gained through university programs, upskilling boot camps, certificate programs, or military experience

• Demonstrated experience applying technical troubleshooting, documentation, analytical, and problem-solving skills with an attentive eye for detail in an enterprise IT-related project, showcasing the ability to diagnose and resolve complex issues

• Understand fundamental concepts of network communication and configuration

• Motivation to engage in self-directed learning on new technologies

• Demonstrated customer service skills and desire to be customer-focused, understanding customer needs, and helping them achieve their goals

• Effective communication (written and verbal), active listening and presentation skills

• Ability to work independently and collaboratively with internal teams and external customers

• Some exposure to scripting languages (e.g., Python, Bash) or programming languages (e.g., Java, Go) is a plus

• Full professional proficiency in written and spoken English

We are looking for a Senior Machine Learning Research Engineer with a strong research background and hands-on experience in building and optimizing deep learning models. In this role, you will explore and develop cutting-edge techniques in model compression, including pruning, quantization, knowledge distillation, and speculative decoding. You will help design and evaluate novel algorithms that bridge theory and real-world deployment.

Your Role and Responsibilities

As a core member of our ML research team, you will:

• Design and conduct experiments to evaluate model compression strategies for large-scale deep learning models.

• Develop scalable and modular research code in Python.

• Work closely with software engineers and product teams to translate research into deployable systems.

• Explore emerging techniques in efficient inference and help define future directions for model optimization.

• Collaborate on publications in top-tier ML/AI conferences and contribute to open-source initiatives.

• Benchmark models across hardware configurations, contributing to the broader understanding of how model optimizations affect performance in real-world deployment scenarios.

• Participate in reading groups, internal workshops, and mentoring activities.

Required Qualifications

• PhD in Machine Learning, Computer Science, Electric Engineering, Applied Mathematics, or a related field.

• Strong foundation in machine learning algorithms and numerical optimization.

• Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.

• Strong analytical and problem-solving skills.

• Experience with experimental design and empirical research, including model evaluation and benchmarking.

• Excellent written and verbal communication skills, including the ability to explain complex ideas to a technical audience.

Preferred Qualifications

• Familiarity with model compression techniques such as quantization, pruning, knowledge distillation, or speculative decoding.

• Experience contributing to open-source machine learning projects.

• Experience optimizing model performance for inference efficiency, particularly on GPUs or specialized accelerators.

• Publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR).

• Comfortable navigating large codebases and collaborating in a research-oriented engineering team.

What We Offer

• A dynamic and intellectually stimulating environment with opportunities to shape the future of efficient ML systems.

• A collaborative team that values curiosity, creativity, and impact.

• Support for academic engagement (publishing, conference travel, workshops).

• Access to high-performance computing resources and state-of-the-art ML infrastructure.

• Comprehensive benefits, flexible work arrangements, and opportunities for career growth.

The salary range for this position is $170,770.00 - $281,770.00. Actual offer will be based on your qualifications.

Pay Transparency

● 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

Job Responsibilities

• Work with Red Hat engineers and research project teams to develop, test, deploy and operate software for distributed research environments built with OpenShift, OpenStack, OpenShift AI, InstructLab and other open source software.

• Work with Red Hat product development teams to explore and help transition selected new functionality into supported products

• Develop, deploy, upgrade, monitor and troubleshoot software in research environments such as the Mass Open Cloud Alliance, as well as other university research computing environments in North America

• Identify, track and resolve issues as part of a worldwide development team analyzing distributed systems and data using GitOps techniques and tools

• Contribute software to open source projects to help advance research computing

• As part of the CTO office, write, speak and promote software development research projects, as well as student-oriented development and education activities such as hackathons, tutorials and independent student projects.

Requirements

• Software development experience with multiple programming languages (C++, Python, Go)

• Experience with software development for distributed systems and AI systems, particularly accelerators, virtual machines and containers

• Deep expertise in at least one broad technical area (e.g. operating systems), with a demonstrated understanding of subsystems and their interactions in real-world use

• Ability to decompose large complex systems and development tasks and work as a technical leader in a distributed team to release new functionality and resolve issues with deployed systems

• Experience maintaining and contributing to linux software (Red Hat Enterprise Linux (RHEL), CentOS, or Fedora preferred)

• Detailed understanding of Agile software development processes

• Detailed knowledge of development tools, repository management, and CI/CD platforms such as Ansible

• Experience working with users and design engineers in a research or production computing environment

• Demonstrated ability to work with independence on software design and implementation, while providing technical leadership and some mentoring to a larger team of developers and system engineers

• Good oral and written communications

• PhD, Master’s or Bachelor’s degree, with work or academic project experience

The salary range for this position is $111,260.00 - $183,580.00. Actual offer will be based on your qualifications.

Pay Transparency

● 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

What you will do:

• Develop innovative capabilities for open source platforms used for building, training, testing, and serving models for AI-enabled applications, carrying your work through all phases of software development and delivery, including: researching and conceptualization, team design review, writing the implementation, authoring a testing strategy and necessary automation, productizing and packaging the code, and supporting its deployment through to end-users.

• Monitor and participate in upstream open source AI/ML communities, evaluating new AI/ML-related technologies in the space and considering potential integrations and collaborations upstream.

• Regularly reading papers and keeping up with AI/ML developments, particularly in the Generative AI space.

• Promote and foster Red Hat’s open-source value proposition as it pertains to AI/ML engineering and product infusion and development.

• Contribute to the development of the open-source projects that comprise Red Hat’s AI family of products.

• Take part in the shared responsibility of delivering and maintaining assigned products.

• Regularly communicate with project stakeholders including other teams of Red Hat engineers, product managers, consultants, management, and senior leadership.

• Take on the role of Subject Matter Expert, as needed, per domain and project.

• Lead, coach and collaborate with junior engineers as they build AI/ML knowledge and skills.

• Coordinate and collaborate with external teams, including IBM Research on key strategic vision and implementation details.

• Share our experiments and learnings from an experienced position in the Data Science community through blogs, presentations, new ideas and existing work at various technical outlets and conferences.

• Promote upstream acceptance and community building.

What you will bring:

• Bachelor's degree in computer science, data science, computer engineering or equivalent

• 5+ years of experience as a data scientist (or similar roles).

• Experience with Python development .

• Experience with AI and Machine Learning platforms, tools, and frameworks, such as: Tensorflow, PyTorch, LLaMA.cpp, and Kubeflow .

• Experience working with Kubernetes/OpenShift and containers, troubleshooting issues, and working with YAML.

• Experience with Cloud Native Technologies and Platforms (e.g. Kubernetes)

• Demonstrates knowledge of unit testing frameworks and methodologies

• Demonstrates knowledge of machine learning relevant mathematics and statistics.

• Strong self-motivation and organizational skills.

• Demonstrates ability to context switch between multiple concurrent projects.

• Excellent English written and verbal communication skills.

• Collaborative attitude and willingness to share ideas openly.

• Ability to quickly learn and use new tools and technologies.

• Passion for developing open source software.

Nice to Haves

• Familiarity with participating in an agile development team

• Experience writing Kubernetes controllers and operators.

• Experience creating Ansible automation scripts.

• Experience with big data storage techniques, such as Parquet, Avro, and S3.

• Experience with hardware accelerators, such as GPU, CUDA, and ROCm.

• Understanding of DevOps methodology.

The salary range for this position is $133,650.00 - $220,680.00. Actual offer will be based on your qualifications.

Pay Transparency

● 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

Primary Job Responsibilities

• Develop innovative capabilities for open source platforms used for building, training, testing, and serving models for AI-enabled applications, carrying your work through all phases of software development and delivery, including: researching and conceptualization, team design review, writing the implementation, authoring a testing strategy and necessary automation, productizing and packaging the code, and supporting its deployment through to end-users.

• Monitor and participate in upstream open source AI/ML communities, evaluating new AI/ML-related technologies in the space and considering potential integrations and collaborations upstream.

• Regularly reading papers and keeping up with AI/ML developments, particularly in the Generative AI space.

• Promote and foster Red Hat’s open-source value proposition as it pertains to AI/ML engineering and product infusion and development.

• Contribute to the development of the open-source projects that comprise Red Hat’s AI family of products.

• Take part in the shared responsibility of delivering and maintaining assigned products.

• Regularly communicate with project stakeholders including other teams of Red Hat engineers, product managers, consultants, management, and senior leadership.

• Take on the role of Subject Matter Expert, as needed, per domain and project.

• Lead, coach and collaborate with junior engineers as they build AI/ML knowledge and skills.

• Coordinate and collaborate with external teams, including IBM Research on key strategic vision and implementation details.

• Share our experiments and learnings from an experienced position in the Data Science community through blogs, presentations, new ideas and existing work at various technical outlets and conferences.

• Promote upstream acceptance and community building.

Required Skills

• Bachelor's degree in computer science, data science, computer engineering or equivalent

• 2+ years of experience as a data scientist or similar role (5+ years for Senior roles)

• Experience with Python development and Jupyter notebooks.

• Experience with AI and Machine Learning platforms, tools, and frameworks, such as: Tensorflow, PyTorch, LLaMA.cpp, and Kubeflow.

• Experience working with Kubernetes/OpenShift and containers, troubleshooting issues, and working with YAML.

• Experience with Cloud Native Technologies and Platforms (e.g. Kubernetes)

• Demonstrates knowledge of unit testing frameworks and methodologies

• Demonstrates knowledge of machine learning relevant mathematics and statistics.

• Strong self-motivation and organizational skills.

• Demonstrates ability to context switch between multiple concurrent projects.

• Excellent English written and verbal communication skills.

• Collaborative attitude and willingness to share ideas openly.

• Ability to quickly learn and use new tools and technologies.

• Passion for developing open source software.

Nice to Haves

• Familiarity with participating in an agile development team

• Experience writing Kubernetes controllers and operators.

• Experience creating Ansible automation scripts.

• Experience with big data storage techniques, such as Parquet, Avro, and S3.

• Experience with hardware accelerators, such as GPU, CUDA, and ROCm.

• Understanding of DevOps methodology.

The salary range for this position is $104,080.00 - $166,320.00. Actual offer will be based on your qualifications.

Pay Transparency

● 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

What you will do:

• Lead the development of groundbreaking machine learning techniques, with a focus on large language models (LLMs)

• Design and implement large scale experiments for alignment research, aiming to understand and improve model behaviors at scale

• Investigate the applicability and performance of LLMs and generative models across diverse tasks

• Analyze and manage extensive datasets, translating complex interpretability experiments into actionable insights through high-quality visualizations

• Work collaboratively with peers across Red Hat departments and researchers at MIT, sharing your expertise and absorbing theirs, to drive a unified research agenda that benefits the entire organization

What you will bring:

• PhD in related areas (Mathematics, Statistics, Machine Learning) with an exceptional research track record in the areas of LLMs, generative models, and probabilistic modeling, evidenced by high-impact publications or projects

• Ability to independently shape and execute a research agenda, selecting research problems that not only are technically challenging but also have a high impact on the field

• Demonstrable skills in data collection and visualization

• Passionate about understanding and aligning machine learning models to create technologies that remain beneficial and under human control

The following is considered a plus:

• PhD in deep generative models and related topics, ideally complemented by a strong background in statistical learning and probabilistic modeling.

• Strong experience in training and tuning very large generative models (Billion+ parameters), familiarity with large-scale model training frameworks like Megatron and DeepSpeed is a plus

• Published research specifically in the domain of large-scale generative models

The salary range for this position is $170,770.00 - $281,770.00. Actual offer will be based on your qualifications.

Pay Transparency

● 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