ZipRecruiter

Log In

1

Machine Learning Engineer Associate Jobs in Stilwell, KS

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

Design and implement statistical models, anomaly detection algorithms, and machine learning ... Partner with Psychometricians, Data Engineering, IT security, and remote proctoring vendors to ...

Motive Companies

CNC Machine Operator

Olathe, KS · On-site

$20 - $28/hr

As a CNC Machine Operator , you'll work with advanced technologies such as AI, Machine Learning ... You'll contribute to state-of-the-art projects that push the boundaries of engineering and ...

Motive Companies

CNC Machine Operator

Olathe, KS

$20 - $28/hr

As a CNC Machine Operator , you'll work with advanced technologies such as AI, Machine Learning ... You'll contribute to state-of-the-art projects that push the boundaries of engineering and ...

Pwc

US Tech - AI Engineering Manager

Kansas City, MO

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Ascend Learning

Associate Quality Engineer

Leawood, KS · On-site

S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 Greatest Workplaces as well as America's Best Places to work for Mental Well-Being for 2025. We're ...

next page

Showing results 1-20

All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Stilwell, KS

Machine Learning Engineer Associate information

See Stilwell, KS salary details

$41.2K

$82K

$131K

How much do machine learning engineer associate jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning engineer associate in Stilwell, KS is $81,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $94,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
Machine Learning Engineer Associate jobs near you
AI Engineer II - Translation

AI Engineer II - Translation

Propio

Overland Park, KS

Other

Posted 28 days ago

Propio rating

6.3

Company rating: 6.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

323rd of 449 rated business services

Job description

Description

Propio is on a mission to make communication accessible to everyone. As a leader in real-time interpretation and multilingual language services, we connect people with the information they need across language, culture, and modality. We're committed to building AI-powered tools to enhance interpreter workflows, automate multilingual insights, and scale communication quality across industries.


We are seeking an AI Engineer II - Translation that will design and optimize machine learning solutions that enhance Propio's translation and localization capabilities, working closely with the translation team and the AI Engineers. This role focuses on developing neural machine translation models optimized for low-resource and specialized languages, improving post-editing workflows, and integrating AI seamlessly with linguist workflows to deliver faster and more accurate translations. 
Key Responsibilities:

  • Design, train, and deploy neural machine translation (NMT) systems for multilingual scenarios, with emphasis on low-diffusion languages. 
  • Optimize models for low-resource and specialized domain languages, leveraging techniques like transfer learning and few-shot adaptation. 
  • Collaborate with the LLM AI Engineer to integrate large language models into translation pipelines and compare approaches for different language pairs. 
  • Develop post-editing and quality assurance tools to augment human translators, incorporating human-in-the-loop feedback. 
  • Work closely with linguists, product managers, and engineers to integrate AI into translation pipelines and gather domain feedback. 
  • Continuously evaluate and benchmark model performance using standardized metrics (BLEU, COMET) and custom domain-specific metrics. 
  • Stay current with research advancements in multilingual NLP and low-resource translation techniques. 


Requirements


Qualifications:

  • Bachelor's or Master's degree in Computer Science, Computational Linguistics, Statistics, or related field.
  • Strong background in NLP and machine translation systems. 
  • Proven experience optimizing models for low-resource or underrepresented languages. 
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). 
  • Experience with multilingual datasets, translation quality evaluation, and human feedback incorporation. 

Preferred Qualifications:

  • Prior work in translation, interpretation, summarization, or cross-lingual QA
  • Contributions to open-source NLP projects and translation quality projects
  • Experience working with speech-to-text pipelines or multimodal systems

#LI-JS1 

What Propio employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply