You will work at the intersection of research and production, transforming cutting-edge model ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
You will work at the intersection of research and production, transforming cutting-edge model ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
Lead the research, development, prototyping, and implementation of machine learning solutions to ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
Lead the research, development, prototyping, and implementation of machine learning solutions to ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
Machine Learning Engineer 727
Saint Louis, MO · On-site
This is a hands-on engineering position focused on moving models from research into reliable ... * Assist in implementing integration solutions in collaboration with development team members
Machine Learning Engineer 727
Saint Louis, MO · On-site
This is a hands-on engineering position focused on moving models from research into reliable ... * Assist in implementing integration solutions in collaboration with development team members
You will work at the intersection of machine learning research, systems engineering, and production ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
You will work at the intersection of machine learning research, systems engineering, and production ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
$88K - $106K/yr
Working with talented research, infrastructure, and product teams, you will help push the ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
$88K - $106K/yr
Working with talented research, infrastructure, and product teams, you will help push the ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
Machine Learning Engineer 727
Saint Louis, MO · On-site
This is a hands-on engineering position focused on moving models from research into reliable ... * Assist in implementing integration solutions in collaboration with development team members
Machine Learning Engineer 727
Saint Louis, MO · On-site
This is a hands-on engineering position focused on moving models from research into reliable ... * Assist in implementing integration solutions in collaboration with development team members
$18/hr
NETL - Undergraduate Research Assistant ---- Hiring Department: Walker Department of Mechanical ... Machining simple components as needed. * Collaborating with faculty, senior researchers, and other ...
$18/hr
NETL - Undergraduate Research Assistant ---- Hiring Department: Walker Department of Mechanical ... Machining simple components as needed. * Collaborating with faculty, senior researchers, and other ...
In this role, you will transform advanced AI research into scalable, reliable solutions powering ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
In this role, you will transform advanced AI research into scalable, reliable solutions powering ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...
Machine Learning Engineer
Saint Louis, MO · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Saint Louis, MO · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Columbia, MO · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Columbia, MO · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Independence, MO · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Independence, MO · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Jefferson City, MO · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Jefferson City, MO · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Springfield, MO · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Springfield, MO · On-site
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Internship Research Assistant Machine Learning information
What is the difference between Internship Research Assistant Machine Learning vs Research Assistant Data Science?
| Aspect | Internship Research Assistant Machine Learning | Research Assistant Data Science |
|---|---|---|
| Required Credentials | Undergraduate or graduate in CS, AI, or related fields | Undergraduate or graduate in CS, Statistics, or related fields |
| Work Environment | Academic labs, research institutions, tech companies | Academic institutions, research centers, industry |
| Employer & Industry Usage | Universities, research firms, tech companies focusing on AI/ML | Universities, research organizations, data-driven industries |
| Common Search & Comparison | Yes | Yes |
The Internship Research Assistant Machine Learning and Research Assistant Data Science roles share similarities in educational background and work environments. However, the Machine Learning position emphasizes AI and ML-specific skills, while Data Science focuses more on statistical analysis and data management. Both roles are common in academic and industry settings, often compared by students and professionals exploring research opportunities in data-driven fields.
What are popular job titles related to Internship Research Assistant Machine Learning jobs in Missouri? For Internship Research Assistant Machine Learning jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Internship Research Assistant Machine Learning jobs in Missouri look for? The top searched job categories for Internship Research Assistant Machine Learning jobs in Missouri are:
What cities in Missouri are hiring for Internship Research Assistant Machine Learning jobs? Cities in Missouri with the most Internship Research Assistant Machine Learning job openings:
Full-time
Posted 12 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 Machine Learning Engineer - Distillation based in Netherlands.
This role offers the opportunity to advance the efficiency and scalability of next-generation machine learning systems.
You will work at the intersection of research and production, transforming cutting-edge model optimization techniques into real-world solutions.
The position focuses on building smaller, faster, and more cost-effective AI models while maintaining high-quality performance.
You will design advanced distillation pipelines, run large-scale experiments, and contribute directly to production systems.
This is an opportunity for an ML engineer who enjoys deep technical challenges, experimentation, and practical innovation.
You will join a collaborative environment where your work directly influences model quality, performance, and product impact.
Accountabilities
As a Machine Learning Engineer focused on Distillation, you will design, develop, and optimize machine learning systems that improve model efficiency without compromising performance. You will combine research expertise with engineering execution to build scalable AI solutions.
- Design and implement advanced knowledge distillation pipelines, including teacher-student approaches, self-distillation, and multi-teacher architectures.
- Distill large foundation models into smaller, faster, and more efficient models optimized for production inference.
- Run large-scale machine learning experiments to evaluate model quality, latency, efficiency, and cost tradeoffs.
- Analyze experimental results and use insights to improve model performance and optimization strategies.
- Collaborate with research teams to transform emerging distillation techniques into reliable production-ready implementations.
- Optimize training and inference performance, including memory usage, throughput, latency, and computational efficiency.
- Develop and improve internal tools, evaluation frameworks, and experiment tracking systems.
- Contribute to improving machine learning workflows and engineering best practices.
- Explore opportunities to contribute to open-source models, research initiatives, or technical tooling.
The ideal candidate is a machine learning engineer with strong experience in deep learning, model optimization, and production-oriented AI development. You should have hands-on experience with distillation techniques and the ability to balance research innovation with practical engineering delivery.
- Strong background in machine learning, deep learning, and neural network architectures.
- Hands-on experience implementing model distillation techniques for large language models or other neural networks.
- Solid understanding of training dynamics, optimization methods, loss functions, and model evaluation.
- Experience working with PyTorch, JAX, or similar modern machine learning frameworks.
- Experience running experiments in multi-GPU or distributed training environments.
- Ability to evaluate and optimize tradeoffs between model quality, performance, latency, and cost.
- Strong programming and software engineering skills with the ability to build production-ready ML systems.
- Practical mindset focused on shipping impactful solutions rather than only theoretical research.
- Experience with inference optimization techniques such as quantization, pruning, or kernel optimization is a plus.
- Familiarity with language model evaluation methodologies is preferred.
- Open-source contributions, research publications, or experience in fast-moving startup environments are considered valuable.
- Competitive compensation package with meaningful equity opportunities.
- Opportunity to work on core machine learning systems that directly impact product performance and efficiency.
- High ownership role with significant influence over technical direction and roadmap.
- Collaboration with a small, senior team combining research expertise and engineering excellence.
- Remote-friendly work environment with an async-first culture.
- Opportunity to solve challenging AI optimization problems at scale.
- Ability to contribute to advanced model development and emerging AI technologies.
- Fast-paced environment that encourages innovation, experimentation, and technical growth.
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!
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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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