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Remote Research Engineer Jobs in Missouri (NOW HIRING)

Jobgether

$80K - $110K/yr

We are currently looking for a Senior Research Engineer - Video Foundation Models (Pre-Training) in ... Fully remote work flexibility across Europe, with optional hybrid office access in select locations ...

Jobgether

$240K - $290K/yr

You will collaborate closely with product, research, legal, and policy teams, contributing directly ... Remote-first flexibility across Europe and the US, with optional access to major tech hubs. * High ...

Jobgether

You will work on the front line of web security and data collection, reverse engineering ... Fully remote work environment with global team collaboration. * Opportunity to work on cutting-edge ...

Jobgether

... product and engineering teams. * Establish rigorous experimentation standards, evaluation ... Fully remote work environment with global collaboration opportunities. * High-impact leadership ...

Jobgether

$40K - $110K/yr

... remote environment. Accountabilities: * Design and build end-to-end geospatial data systems ... Collaborate with researchers, scientists, and technical stakeholders to translate complex ...

Jobgether

You will work closely with engineering and product teams to ensure that research outputs improve ... Fully remote position within a global AI research organization * Opportunity to shape cutting-edge ...

Quora

AI Automation Engineer -Remote

Independence, MO · On-site +1

$202K - $234K/yr

... not just research or prototypes. You'll lay the groundwork for how we approach internal AI ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

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All JobsRemote Research Engineer JobsRemote Research Engineer Jobs in Missouri

Remote Research Engineer information

See Missouri salary details

$34.7K

$99.4K

$133.7K

How much do remote research engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote research engineer in Missouri is $99,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $97,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Research Engineer position, and why are they important?

A Remote Research Engineer typically needs a strong background in scientific research methods, programming, data analysis, and a relevant degree in engineering or a related field. Familiarity with statistical software, cloud-based collaboration tools, and experience with programming languages such as Python or MATLAB are often required, with additional certifications in machine learning or data science considered advantageous. Excellent written and verbal communication, problem-solving abilities, and self-motivation are key soft skills for success in remote environments. These competencies enable effective independent work, high-quality research output, and seamless collaboration within distributed teams.

What is a Remote Research Engineer job?

A Remote Research Engineer is a professional who conducts research and develops new technologies, algorithms, or solutions while working remotely. They typically work in fields like artificial intelligence, machine learning, software development, or scientific research. Their responsibilities include designing experiments, analyzing data, and collaborating with teams using digital communication tools. This role requires strong problem-solving skills, self-motivation, and proficiency in programming or research methodologies. Remote Research Engineers often contribute to cutting-edge advancements while maintaining flexibility in their work environment.

What are some unique challenges faced by Remote Research Engineers and how can they be overcome?

Remote Research Engineers often encounter challenges related to collaborating across different time zones, ensuring clear communication, and maintaining access to necessary data or computational resources. To overcome these issues, it's important to leverage project management tools, establish regular virtual meetings, and proactively document and share research findings with the team. Strong time management and self-discipline are also essential to balance deep-focus research tasks with collaborative discussions. Organizations usually provide virtual platforms and cloud infrastructure to support seamless work, but developing personal workflows for communication and resource access can further enhance effectiveness in the role.

What are popular job titles related to Remote Research Engineer jobs in Missouri? For Remote Research Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Research Engineer jobs in Missouri look for? The top searched job categories for Remote Research Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Research Engineer jobs? Cities in Missouri with the most Remote Research Engineer job openings:
Remote Research Engineer jobs near you
Infographic showing various Remote Research Engineer job openings in Missouri as of June 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $99,440 per year, or $47.8 per hour.

Senior Research Engineer - Video Foundation Models (Pre - Training)

Jobgether

On-site, Remote

$80K - $110K/yr

Full-time

PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Research Engineer - Video Foundation Models (Pre-Training) in Netherlands.

This role offers the opportunity to work at the forefront of generative AI, helping develop the next generation of foundation models for human-centric video creation. As part of a highly technical research and engineering team, you will tackle challenges in large-scale model training, distributed systems, inference optimization, and evaluation methodologies. Your work will directly contribute to production-grade AI systems used by thousands of organizations worldwide, transforming how businesses communicate through video. Operating in a fast-paced, outcome-focused environment, you will combine cutting-edge research with practical engineering to deliver real-world impact. The position is ideal for individuals who enjoy solving complex machine learning problems while maintaining a strong focus on scalability, reliability, and deployment. You will collaborate with world-class researchers and engineers to advance the capabilities of synthetic human video generation.

Accountabilities:
  • Design, develop, and scale video foundation models focused on realistic, controllable, and expressive human-centric video generation.
  • Build and optimize latent diffusion architectures and conditioning mechanisms for attributes such as pose, emotion, camera control, and script guidance.
  • Advance distributed training strategies across multi-GPU and multi-node environments while improving training efficiency and stability.
  • Develop and refine evaluation frameworks that combine automated metrics with structured human assessments.
  • Optimize inference pipelines to improve latency, scalability, cost efficiency, and output quality for production deployment.
  • Conduct rigorous experimentation, ablation studies, and performance analyses to guide model architecture and training decisions.
  • Contribute to engineering best practices, including reproducibility, experiment tracking, monitoring, CI/CD, and infrastructure reliability.
  • Collaborate closely with cross-functional teams to ensure research outcomes translate into measurable product impact.

Requirements:

  • Strong experience training deep learning models at scale within production or research environments.
  • Advanced proficiency in Python and PyTorch.
  • Hands-on experience with diffusion models, particularly within image generation; video diffusion experience is highly desirable.
  • Practical expertise in large-scale distributed training using multi-GPU and multi-node systems.
  • Solid understanding of distributed learning frameworks such as DDP, FSDP, DeepSpeed, or similar technologies.
  • Strong experimental design skills with the ability to interpret complex or noisy results and make data-driven decisions.
  • Experience working with modern machine learning infrastructure, including CUDA, AWS, Docker, SLURM, and CI/CD workflows.
  • Excellent communication skills with the ability to present technical findings clearly and scientifically.
  • Ability to balance research exploration with product-focused execution and delivery.
  • Experience with video diffusion models, avatar generation, world models, GANs, VAEs, or production inference optimization is considered a strong advantage.
  • Self-driven mindset with the ability to work independently while collaborating effectively within distributed teams.

Benefits:

  • Competitive compensation package including salary, bonus opportunities, and stock options.
  • Fully remote work flexibility across Europe, with optional hybrid office access in select locations.
  • 25 days of annual leave in addition to public holidays.
  • Opportunity to work on cutting-edge generative AI technologies with real-world impact.
  • High-ownership environment where research directly influences production systems and customer experiences.
  • Access to a collaborative and technically exceptional team of AI researchers and engineers.
  • Regular team gatherings, planning sessions, and social events.
  • Additional location-specific benefits and perks.
  • Career growth opportunities within a rapidly expanding AI organization.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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