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All Machine Learning Data Associate Jobs (NOW HIRING)

PROPRIUS

Machine Learning / Data Scientist

Bodega Bay, CA · On-site

$110K - $140K/yr

... machine learning) * Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive ... We're lucky enough to recruit the best candidates into the most exciting companies all over the ...

Outpost

Machine Learning Data Engineer

Seattle, WA · On-site

$130K - $160K/yr

... data that makes our models better. Today that's mostly measurement and curation. Once the pipeline ... Build and improve the continuous learning pipeline so new models ship weekly with minimal manual ...

Vizcom

Machine Learning Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... data. Your job will be to help turn that trail into a machine. A design session isn't a simple ... Above all, we're looking for someone who can look at the exhaust of a complex product and see ...

Outpost

Machine Learning Data Engineer

Seattle, WA · Remote

$130K - $160K/yr

... data that makes our models better. Today that's mostly measurement and curation. Once the pipeline ... Build and improve the continuous learning pipeline so new models ship weekly with minimal manual ...

Vizcom Technologies, Inc.

$84K - $101K/yr

... data. Your job will be to help turn that trail into a machine. A design session isn't a simple ... Above all, we're looking for someone who can look at the exhaust of a complex product and see ...

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How much do all machine learning data associate jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for all machine learning data associate in the United States is $18.74, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

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Infographic showing various All Machine Learning Data Associate job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $38,974 per year, or $18.7 per hour.

Machine Learning / Data Scientist

Bodega Bay, CA • On-site

PROPRIUS
See more jobs at PROPRIUSexternal

$110K - $140K/yr

Full-time

Re-posted 27 days ago

Key responsibilities

  • Work with stakeholders to identify opportunities for leveraging data to drive business solutions

  • Mine and analyze data from databases to optimize product development, marketing, and business strategies

  • Develop and implement custom data models and algorithms to improve business outcomes

Job description

Machine Learning Engineer

Location: San Francisco, CA

Sponsorship: No

Relocation: No

Industry: Machine Learning

Our client is a digital invention agency focused on machine learning methodologies, enterprise mobile and web applications, eCommerce, augmented reality and IoT. They look to innovatively make this world a better place with each and every product, system, idea and app they release.

Job Summary

Our client is looking for a machine learning engineer to join our existing ML team in developing and refining a predictive application.

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. You must have a proven ability to drive business results with their data-based insights. You must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

As a ML Engineer, you will:

  • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions
  • Mine and analyze data from databases to drive optimization and improvement of product development, marketing techniques and business strategies
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop custom data models and algorithms to apply to data sets
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy

For this role you will need:

  • Strong with Statistics and can code in either R, Python, Java and Scala
  • Experience with designing and building using micro-services architectural pattern, web APIs using dotnet core & C#
  • Experience and passion for simulations, optimization, neural networks, artificial intelligence (deep learning and machine learning)
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, GIT, SQL, etc.
  • Able to understand statistical solutions and execute similar activities
  • Experience in data wrangling and advanced analytic modeling
  • Strong communication and organizational skills and has the ability to deal with ambiguity while juggling multiple priorities and projects at the same time
  • Experience visualizing/presenting data for stakeholders using: Seaborn, Business Objects, D3, ggplot, etc.
  • Ability to investigate the feasibility and data requirements necessary to develop an ML solution for a given problem
  • Ability to design, build and test production ready ML-based products while interpreting and explaining the basis for predictions generated by ML models

The perfect candidate will have:

  • Knowledge and experience using one or more of the following, or similar, machine learning software frameworks: CAFFE, Torch 7, Keras and Tensorflow
  • Experience building production-ready NLP or information retrieval systems
  • Hands-on experience with NLP tools, libraries and corpora (e.g. NLTK, Stanford CoreNLP, Wikipedia corpus, etc.)

PROPRIUS is an AI Industry recruiting firm. We’re lucky enough to recruit the best candidates into the most exciting companies all over the United States. We deliver performance.
*LI-Y