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Gaussian Jobs Near Me

Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks * Quantify and calibrate model performance and uncertainty Requirements

Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.

Linear Algebra Tutor

Columbus, OH · Remote

$18 - $40/hr

Skilled at breaking down Gaussian elimination, matrix factorization, and eigenvalue computation procedures. Guides students through proving linear independence, constructing orthonormal bases via ...

Gaussian information

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$37.5K

$122.7K

$196.5K

How much do gaussian jobs pay per year?

As of Aug 29, 2026, the average yearly pay for gaussian in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Gaussian jobs?

Cities with the most Gaussian job openings:

What states have the most Gaussian jobs?

States with the most job openings for Gaussian jobs include:

What are the most commonly searched types of Gaussian jobs?

The most popular types of Gaussian jobs are:

A map of the United States highlighting the number of Gaussian job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Gaussian job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Applied ML Scientist - Chemistry

Jobtailor

Columbus, OH • On-site

$120 - $180/hr

Other

Posted 10 days ago


Job description

Responsibilities
  • Lead ML model development for prediction and optimization across chemistry, formulation, property, and process
  • Collaborate with R&D and manufacturing on problem framing
  • Curate and analyze chemical and experimental data
  • Develop and select input representations for raw materials, chemistry, and signal data
  • Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks
  • Quantify and calibrate model performance and uncertainty
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Computational Chemistry, Cheminformatics, or a related field
  • 5+ years experience
  • Strong Python skills
  • Experience in applied statistics and uncertainty quantification
  • Domain knowledge in chemistry, preferably polymer chemistry
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