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Contract Machine Learning Startup Jobs in Missouri

Jobgether

Open-source contributions, research publications, or experience in fast-moving startup environments ... Opportunity to work on core machine learning systems that directly impact product performance and ...

Jobgether

... paced startup environment. * Strong communication and collaboration skills with the ability to ... Experience leading or guiding machine learning teams is highly desirable. Benefits * Founding ...

Varsity Tutors

Machine Learning Tutor

Columbia, MO · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Machine Learning Tutor

Saint Louis, MO · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Machine Learning Tutor

Kansas City, MO · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Brooksource

MLE II

Saint Louis, MO · On-site

$50 - $55/hr

Machine Learning Engineer II Remote (U.S.) Remote Role Compensation: $50 - $55 per hour ABOUT THE ... Whether you're looking for contract, contract-to-hire, or direct placement opportunities, we ...

Jobgether

In this role, you'll explore novel approaches to machine learning, bridging cutting-edge ... Comfortable working in a fast-moving, collaborative startup environment with a high level of ...

Jobgether

If you are passionate about solving complex language challenges and advancing machine learning ... moving startup environment. * Experience with low-resource languages, non-Latin scripts ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

... and Contract We are seeking an experienced and highly technical Data Scientist to join our customer-facing consulting team. This remote role requires a blend of advanced Machine Learning (ML ...

Koantek

Senior AI Engineer

Chesterfield, MO · On-site

$54.75 - $70.50/hr

... and Contract We are seeking an experienced and highly technical Data Scientist to join our customer-facing consulting team. This remote role requires a blend of advanced Machine Learning (ML ...

Stellar IT Group

Data Scientist

Saint Louis, MO · On-site

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data ... Solid traditional Machine Learning: Feature engineering, model training, evaluation * Not a model ...

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All JobsContract Machine Learning Startup JobsContract Machine Learning Startup Jobs in Missouri

Contract Machine Learning Startup information

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What are the key skills and qualifications needed to thrive in a Contract Machine Learning Startup role, and why are they important?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What is a Contract Machine Learning Startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.
What are the most commonly searched types of Machine Learning Startup jobs in Missouri? The most popular types of Machine Learning Startup jobs in Missouri are:
What are popular job titles related to Contract Machine Learning Startup jobs in Missouri? For Contract Machine Learning Startup jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Startup jobs in Missouri look for? The top searched job categories for Contract Machine Learning Startup jobs in Missouri are:
What cities in Missouri are hiring for Contract Machine Learning Startup jobs? Cities in Missouri with the most Contract Machine Learning Startup job openings:
Contract Machine Learning Startup jobs near you
Infographic showing various Contract Machine Learning Startup job openings in Missouri as of July 2026, with employment types broken down into 6% Internship, 76% Full Time, 6% Part Time, 6% Temporary, and 6% Nights. Highlights an 94% In-person, and 6% Remote job distribution.

Machine Learning Engineer - Distillation

Jobgether

On-site, Remote

Full-time

Posted 10 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.
Requirements

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.
Benefits
  • 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!
 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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