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Machine Learning Assistant Jobs in Missouri (NOW HIRING)

Jobgether

Demonstrated experience taking a machine learning model from raw data through experimentation and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Walmart

(USA) Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ...

Walmart

(USA) Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ...

Walmart

(USA) Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ...

Walmart

(USA) Distinguished, Data Scientist

Noel, MO · On-site

$130K - $260K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ...

Walmart

(USA) Distinguished, Data Scientist

Cassville, MO · On-site

$130K - $260K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ...

Walmart

Staff, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ...

Walmart

(USA) Distinguished, Data Scientist

Anderson, MO · On-site

$130K - $260K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ...

Walmart

(USA) Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ...

Walmart

(USA) Principal, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ...

Walmart

Staff, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ...

Walmart

(USA) Principal, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ...

Walmart

Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied ...

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All JobsMachine Learning JobsMachine Learning Assistant JobsMachine Learning Assistant Jobs in Missouri

Machine Learning Assistant information

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What are the most commonly searched types of Machine Learning jobs in Missouri?

The most popular types of Machine Learning jobs in Missouri are:

What are popular job titles related to Machine Learning Assistant jobs in Missouri?

For Machine Learning Assistant jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Machine Learning Assistant jobs in Missouri look for?

The top searched job categories for Machine Learning Assistant jobs in Missouri are:

What cities in Missouri are hiring for Machine Learning Assistant jobs?

Cities in Missouri with the most Machine Learning Assistant job openings:

Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Research Engineer (Reinforcement Learning)

Jobgether

Remote

Full-time

Medical, Dental, Vision, PTO

This job post has expired today. Applications are no longer accepted.

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 Research Engineer (Reinforcement Learning) based in Netherlands.

Join a small, senior engineering team building the next generation of voice- and text-driven AI agents.
You'll focus on post-training models to make agents more capable, reliable, and effective over long-running interactions.
Your work will span environments, verifiers, synthetic data, training experiments, evaluations, and production deployment.
You'll tackle challenging problems such as persistent context, reliable tool use, and multi-turn agent behavior.
The role combines hands-on research and engineering, with a strong emphasis on measurable improvements in model performance.
You'll work closely with experienced engineers in a remote, collaborative environment where technical craft and creativity are highly valued.
Your contributions will directly shape AI systems operating at significant production scale.

Accountabilities
  • Build training environments, verifiers, and supporting infrastructure for post-training models.
  • Own the synthetic data pipeline from data generation through quality assurance and validation.
  • Run end-to-end training experiments, analyze results, and clearly identify the factors driving model improvements.
  • Design and maintain evaluations that models must pass before production releases.
  • Select and adapt suitable open-weight foundation models for specific agent and product requirements.
  • Develop trained behaviors that perform consistently across both voice and text-based agents.
  • Deploy trained models to production and continuously improve them based on real-world usage and feedback.
  • Develop robust approaches to long-horizon interactions, accumulated context, and reliable tool use during live conversations.
Requirements:
  • Strong Python engineering skills and the ability to build reliable, production-quality systems.
  • Demonstrated experience taking a machine learning model from raw data through experimentation and into production.
  • A strong data-centric mindset, with attention to coverage, diversity, quality, and data leakage.
  • The ability to anticipate reward exploitation and design robust rewards, verifiers, and evaluation mechanisms.
  • Practical experience working with GPUs and a realistic understanding of their capabilities and limitations.
  • Strong judgment around when model training is the right solution-and when a simpler approach is preferable.
  • Ability to collaborate effectively within a remote, distributed, and highly autonomous team.
  • Experience with post-training techniques such as fine-tuning, reward design, or reinforcement learning, including approaches such as GRPO, is highly desirable.
  • Familiarity with RL and fine-tuning frameworks such as TRL, verl, OpenRLHF, or custom training loops is a plus.
  • Experience with technologies such as vLLM or SGLang for fast rollouts and FSDP for multi-GPU training is advantageous.
  • Experience training tool-using or multi-turn agents, as well as building execution sandboxes, verifiers, evaluation harnesses, or developer tooling, is valuable.
  • Familiarity with open-weight model families such as Qwen or Llama and techniques such as LoRA is a plus.
Benefits:
  • Opportunity to make a significant impact on a fast-growing developer platform and help shape its future.
  • Collaboration with a small, highly experienced team that values technical excellence, creativity, and ownership.
  • Competitive salary and equity package.
  • Health, dental, and vision benefits.
  • Flexible vacation policy.
  • Remote-friendly working environment with flexibility and autonomy.
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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