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Remote Bioinformatics Machine Learning Jobs in Missouri

Jobgether

$80K - $110K/yr

The position is ideal for individuals who enjoy solving complex machine learning problems while ... Fully remote work flexibility across Europe, with optional hybrid office access in select locations ...

Healthcare Fraud Shield

Data Scientist

Chesterfield, MO · On-site +1

Utilize advanced mathematical models, machine learning algorithms, operations research techniques ... Remote work eligible REMOTE WORK REQUIREMENTS: * Must have high speed Internet (satellite is not ...

General Motors

Senior AI/ML Engineer

Jefferson City, MO · On-site +1

$99K - $136K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision , machine learning , or data-centric AI projects - especially where ...

UVeye

Implementation Manager

Kansas City, MO · On-site +1

$80K - $90K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... This is a remote role, based on CT or ET. The ideal candidate should be located within an hour of a ...

Jobgether

$40K - $110K/yr

Experience leading engineering initiatives, machine learning systems, GPU-accelerated processing ... Flexible remote-first work environment with asynchronous collaboration practices. * Hardware ...

Jobgether

$88K - $106K/yr

Familiarity with modern Generative AI frameworks, orchestration tools, and machine learning ... Fully remote work environment offering flexibility and work-life balance. * Personalized career ...

Jobgether

$88K - $106K/yr

You will design and build scalable data pipelines that power analytics, machine learning, and real-world scientific and business decisions. Working in a fully remote, international environment, you ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Proficient in using advanced analytics and machine learning frameworks, including Apache Spark ...

GRVTY

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

Walmart

Senior, Software Engineer

Anderson, MO · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Jobgether

$43 - $57.50/hr

You will join a highly visible technical role at the intersection of machine learning engineering ... Flexible working arrangements, including remote-friendly policies and adaptable working hours.

Walmart

Senior, Software Engineer

Cassville, MO · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Walmart

Senior, Software Engineer

Noel, MO · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

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All JobsRemote Bioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning Jobs in Missouri

Remote Bioinformatics Machine Learning information

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is a Remote Bioinformatics Machine Learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

What are the key skills and qualifications needed to thrive as a Remote Bioinformatics Machine Learning Specialist, and why are they important?

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Missouri? The most popular types of Bioinformatics Machine Learning jobs in Missouri are:
What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Missouri? For Remote Bioinformatics Machine Learning jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Missouri look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Missouri are:
What cities in Missouri are hiring for Remote Bioinformatics Machine Learning jobs? Cities in Missouri with the most Remote Bioinformatics Machine Learning job openings:
Remote Bioinformatics Machine Learning jobs near you

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

Jobgether

On-site, Remote

$80K - $110K/yr

Full-time

PTO

Posted 5 days ago

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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