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Internship Remote Research Engineer Jobs (NOW HIRING)

TCOM, L.P.

Staff Research Engineer

Sioux Falls, SD · On-site +1

Aerostar, a business unit of TCOM, is seeking a Staff Research Engineer to help lead the ... Remote candidates will not be prioritized. Physical Requirements & Working Conditions: * Physical ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS We are seeking an experienced Research and Development Engineer to manage ...

DTEX Systems Inc

Threat Intel Research Engineer

$140K - $180K/yr

DTEX is seeking a highly skilled and mission-driven Threat Intel Research Engineer to join our ... Flexibility - Work in a hybrid or remote environment that balances collaboration with autonomy.

Mannix Marketing

Web Design Intern

Web Design Internship Remote If you're studying design and want to see how it actually works inside ... The Mannix Marketing design intern will work directly with our Sr. Web Developer & Design Lead and ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... We are currently looking for interns who can start in the Summer or Fall of 2026. Responsibilities ...

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How much do internship remote research engineer jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for internship remote research engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Internship Remote Research Engineer vs Research Scientist?

AspectInternship Remote Research EngineerResearch Scientist
CredentialsTypically pursuing or holding a relevant degree (e.g., Computer Science, Engineering)Advanced degree (Master's or PhD) often required
Work EnvironmentRemote, internship setting, often part-time or temporaryFull-time, research-focused, may be remote or on-site
Industry UsageCommon in tech, academia, and R&D sectors for entry-level or training rolesResearch and development departments, academia, industry labs

The main difference is that an Internship Remote Research Engineer is an entry-level, temporary position aimed at gaining experience, often held by students or early-career individuals. In contrast, a Research Scientist is a more advanced, permanent role focused on conducting independent research, often requiring higher qualifications and experience.

What are the key skills and qualifications needed to thrive as an Internship Remote Research Engineer, and why are they important?

To thrive as an Internship Remote Research Engineer, you need a solid background in computer science or engineering, strong analytical abilities, and relevant coursework or experience in research methodologies. Familiarity with programming languages (such as Python or MATLAB), version control systems (like Git), and data analysis tools is typically required. Strong self-motivation, effective communication, and time management skills help interns excel in remote and collaborative environments. These skills enable effective contribution to research projects, independent problem-solving, and seamless integration with distributed teams.

What are Internship Remote Research Engineers?

Internship Remote Research Engineers are students or recent graduates who work remotely to assist in research and development projects, typically within engineering, technology, or scientific fields. Their responsibilities often include data analysis, literature reviews, software development, and supporting senior researchers in various experiments or projects. These internships provide hands-on experience, allowing interns to apply theoretical knowledge, develop technical skills, and collaborate with professional teams, all while working from a location outside the main office or lab.

How does a remote research engineer intern typically collaborate with team members and supervisors?

As a remote research engineer intern, you'll primarily use digital collaboration tools like Slack, Zoom, and project management platforms to communicate with your team. Regular check-ins, virtual meetings, and shared documentation are crucial for staying aligned on project goals and progress. You'll often work closely with senior engineers, researchers, and sometimes cross-functional teams, receiving guidance and feedback remotely. This setup encourages proactive communication and self-management, helping you develop strong remote work skills that are highly valued in the tech industry.
What cities are hiring for Internship Remote Research Engineer jobs? Cities with the most Internship Remote Research Engineer job openings:
What are the most commonly searched types of Remote Research Engineer jobs? The most popular types of Remote Research Engineer jobs are:
What states have the most Internship Remote Research Engineer jobs? States with the most job openings for Internship Remote Research Engineer jobs include:
Internship Remote Research Engineer jobs near you
Systems Research Engineer, GPU Programming

Systems Research Engineer, GPU Programming

Together AI

San Francisco, CA • On-site, Remote

$160K - $230K/yr

Other

Medical

Re-posted 17 days ago

Job description

About the Role

As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.

Requirements
  • Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.
  • Knowledge of ML/AI applications and models
  • Knowledge of performance profiling and optimization tools for GPU programming
  • Excellent problem-solving and analytical skills
  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences
Responsibilities
  • Optimize and fine-tune GPU code to achieve better performance and scalability
  • Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
  • Stay up-to-date with the latest advancements in GPU programming techniques and technologies
About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

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