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Remote Research Engineer Jobs in Missouri (NOW HIRING)

Jobgether

This is a fully remote opportunity for an independent researcher who wants their work to move ... Collaborate with ML and software engineering teams to move successful research from experimentation ...

Jobgether

Our partner is looking for a Research Engineer (Reinforcement Learning) based in Netherlands. Join ... You'll work closely with experienced engineers in a remote, collaborative environment where ...

Jobgether

Comfortable working autonomously in a remote environment and taking ownership of projects from research through execution. * Ability to collaborate effectively with founders and engineers while ...

Catapult Solutions Group

Sr DevOps Engineer

Monett, MO · On-site +1

$65 - $70/hr

Fully Remote Hours: Must work Eastern or Central time zone hours Openings: 2 Start Date: Target 8 ... Participating in all phases of the software development life cycle - research, prototyping ...

Jobgether

The role combines hands-on software engineering with opportunities to explore research-driven ... Benefits * 100% remote working environment with the opportunity to collaborate with a global ...

Jobgether

$99K - $119K/yr

Accountabilities: * Explore product opportunities through user research, experimentation ... Fully remote working opportunity within the UK or Europe. * Opportunity to combine product design ...

Steris Corporation

Director, Engineering (Remote)

MO · On-site +1

... and R&D is critical to support the engineering strategy, program oversite, and project pipeline ... Certified Reliability Engineer Other: * Must have excellent leadership, interpersonal and ...

WSP

Experienced Substation Design Engineer

Saint Louis, MO · On-site +1

$92K - $117K/yr

A hybrid or in-office work setup is preferred to foster collaboration and mentorship, but remote ... Support senior engineers with research and recommendations of fundamental components identified in ...

The Timberline Group

Dynatrace Engineer

Saint Louis, MO · On-site +1

A few years of experience with Dynatrace is required (3) Fully remote is okay, prefer to be within ... research and investigation and make recommendations for improvements that result in increased ...

Wood Plc

Water Resources Engineer - FEMA

Kansas City, MO · Remote

$77K - $105K/yr

This role has the opportunity to be remote from any location within the US. Key Responsibilities ... reports, research, and data entry; and * Work with a team of Water Resources Engineers and GIS ...

Wood Plc

Water Resources Engineer - FEMA

Ballwin, MO · Remote

$76K - $104K/yr

This role has the opportunity to be remote from any location within the US. Key Responsibilities ... reports, research, and data entry; and * Work with a team of Water Resources Engineers and GIS ...

Jobgether

... research and collaboration. The role combines software development, technical decision-making ... Remote working environment with the flexibility to contribute from Canada. * Opportunity to work ...

Olsson

Civil Engineer - Site Design

Kansas City, MO · On-site +1

You may also perform research, write technical reports, and travel to job sites for observation ... This role offers flexible work options, including remote and hybrid opportunities, to accommodate ...

Olsson

Civil Engineer - Site Design

Saint Louis, MO · On-site +1

You may also perform research, write technical reports, and travel to job sites for observation ... This role offers flexible work options, including remote and hybrid opportunities, to accommodate ...

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All JobsResearch Engineer 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 Aug 25, 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 is a remote research engineer?

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 skills and qualifications are needed to thrive as a remote research engineer?

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 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.

Do you need a PhD to be a remote research engineer?

A PhD is not strictly required to be a remote research engineer, but many roles prefer candidates with advanced degrees in relevant fields such as engineering, computer science, or data science. Practical experience, strong technical skills, and proficiency with research tools and programming languages are often more important for these positions.

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 August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $99,440 per year, or $47.8 per hour.

ML Research Engineer / Scientist

Jobgether

Remote

Full-time

Medical, Vision

Posted 7 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a ML Research Engineer / Scientist based in Netherlands.

Join a research-driven team building next-generation AI models designed to understand complete CT studies rather than isolated findings.
You'll work on foundation models, vision-language learning, and multi-finding detection using medical imaging data at unprecedented scale.
Your research will have a direct path from experimentation to regulatory submissions, hospital deployment, and real-world patient care.
You'll own models and experiments end to end, from developing the initial idea through training, evaluation, calibration, and production readiness.
You'll work alongside experienced ML engineers, software engineers, and fellowship-trained radiologists across multiple clinical specialties.
The role combines deep technical research with practical impact, giving you the opportunity to solve challenging problems in medical AI with exceptionally rich real-world data.
This is a fully remote opportunity for an independent researcher who wants their work to move quickly from the lab into clinical practice.

Accountabilities
  • Design, develop, train, and evaluate machine learning models capable of interpreting complete CT studies at the study level.
  • Research foundation-model approaches for medical imaging, including 3D and volumetric learning at large scale.
  • Develop and investigate vision-language models that connect medical images with the terminology and reporting patterns used by radiologists.
  • Build models capable of identifying and prioritizing multiple urgent clinical findings simultaneously while maintaining safe and clinically appropriate operating points.
  • Design and execute independent experiments, from hypothesis formation and architecture selection through training, evaluation, and analysis.
  • Develop custom architectures, training pipelines, loss functions, and distributed training approaches using modern deep learning frameworks.
  • Analyze model performance rigorously and establish reproducible evaluation methodologies suitable for clinically consequential AI systems.
  • Work closely with fellowship-trained radiologists to understand clinical requirements, interpret results, and translate research findings into practical model improvements.
  • Contribute to models and research that progress toward regulatory submissions, clinical deployment, and real-world patient use.
  • Take ownership of research projects end to end and make informed decisions about which experiments and approaches are most likely to deliver meaningful improvements.
  • Collaborate with ML and software engineering teams to move successful research from experimentation toward robust, deployable systems.
Requirements:
  • Strong practical experience with modern machine learning and deep learning, particularly using PyTorch for custom architectures, training loops, and experimentation.
  • Deep understanding of why machine learning architectures, objectives, optimization strategies, and training approaches work, rather than relying solely on existing implementations.
  • Demonstrated ability to independently formulate hypotheses, design experiments, interpret results, and iterate toward better models.
  • Strong understanding of rigorous experimentation, evaluation, reproducibility, and model validation.
  • Experience working with large-scale datasets and distributed training environments is highly valuable.
  • A strong interest in solving technically challenging problems where model performance and reliability have meaningful real-world consequences.
  • Ability to work effectively with researchers, engineers, and clinical experts in a collaborative environment.
  • Medical imaging, 3D computer vision, or volumetric-data experience is advantageous but not required.
  • Experience with vision-language models or self-supervised learning is a plus.
  • Familiarity with DICOM, CT imaging, radiology, or other medical-data formats and workflows is beneficial.
  • A PhD, research publications, or a strong academic research background is a plus, but not a prerequisite.
  • Prior medical-AI experience is not required; a willingness to learn clinical concepts directly from radiology experts is valued.
  • Strong written and verbal communication skills and the ability to work independently in a fully remote environment.
Benefits:
  • Fully remote position open to candidates worldwide.
  • Location-flexible compensation with a cash-weighted base salary determined according to the local market in the country where you work.
  • Specific compensation range for your location shared early in the hiring process.
  • No equity included in international offers, with compensation structured transparently around local-market cash pay.
  • Opportunity to work with a real-world CT dataset covering approximately 10 million patients, paired with radiology reports.
  • Direct collaboration with fellowship-trained radiologists across areas including chest, body, MSK, neuro, and oncology.
  • Opportunity to work on research that can progress from experimentation to FDA submissions, hospital deployments, and patient care within months.
  • Exposure to large-scale foundation models, vision-language learning, distributed training, medical imaging, and clinically focused AI evaluation.
  • High degree of ownership over research ideas, experiments, models, and technical direction.
  • Opportunity to work alongside researchers and engineers with significant contributions to medical AI, open datasets, algorithms, and clinical AI systems.
  • A small, research-oriented team where successful ideas can move quickly from research into production.
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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