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Applied Machine Learning Intern Jobs in Kansas (NOW HIRING)

We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands ...

... applied research and/or production technologies * Expertiseon building production training and ... Experience building machine learning models for unstructured data types (text, imagery, RF ...

Senior Machine Learning Engineer

Wichita, KS · On-site

$93K - $128K/yr

... building applied research and/or production technologies * Expertise on building production ... Experience building machine learning models for unstructured data types (text, imagery, RF ...

Exceptional candidates with a bachelor's degree and substantial applied machine learning or data science experience may also be considered. * 2+ years professional experience with an open-source data ...

Exceptional candidates with a bachelor's degree and substantial applied machine learning or data science experience may also be considered. * 2+ years professional experience with an open-source data ...

$78K - $107K/yr

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world.Within Amgen ... PhD in in Computational Sciences, Computational Biology, Applied Math,Statisticsor related ...

Data Scientist Position Overview We are seeking a pragmatic, results-oriented Data Scientist focused on Applied AI & ML to design, develop, and deploy production-ready machine learning and LLM ...

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Applied Machine Learning Intern information

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

What are popular job titles related to Applied Machine Learning Intern jobs in Kansas? For Applied Machine Learning Intern jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Applied Machine Learning Intern jobs? Cities in Kansas with the most Applied Machine Learning Intern job openings:

Senior/Staff Applied Machine Learning Scientist

StackAdapt

Remote

Other

Posted 19 days ago


Job description

We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.
 
Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/
Learn more about our team culture here: https://www.stackadapt.com/careers/data-science 
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
 
StackAdapt is a remote-first company, and we are open to candidates located anywhere in the US or Canada for this position.
What you'll be doing:
  • Lead the creation and optimization of advanced machine learning algorithms-from developing new methods to refining existing techniques-to enhance advertising effectiveness and ROI using deep ML expertise.
  • Own the end-to-end development of production-grade ML models: write efficient, scalable code and collaborate with Machine Learning Engineers to deploy and integrate algorithms into live systems.
  • Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights.
What you'll bring to the table:
  • 3+ years of industry experience
  • Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
  • Have the ability to take an ambiguously defined task, and break it down into actionable steps
  • Have a comprehensive understanding of statistics, optimization and machine learning
  • Are proficient in coding, data structures, and algorithms
  • Enjoy working in a friendly, collaborative environment with others