Job Description

Research Scientist

Polaron Analytics is a small business that provides scientific services to various organizations. The services are in data analytics and modeling & simulations using state-of-the-art machine learning algorithms and physics-based modeling techniques. We are currently in the process of building a team who are passionate about providing practical solutions to our customers. The team members will work on the current project and submit the necessary documents for winning future contracts. The team members will have a high growth opportunity as the company grows.

Job Description:

Polaron Analytics is looking for a part-time/full-time position to support our on-going project works. The employee should have experience implementing machine/deep learning models using Python scripting language. The employee will utilize their technical expertise and experience to provide a comprehensive solution with critical thinking. The employee will also assist in writing and submitting proposals.

Requirements:

• Strong experience in developing machine/deep learning models utilizing Python scripting language.
• Attention to detail and meeting deadlines.
• Ph.D. or postdoctoral fellows in Computer Science/Engineering, or closely related field.
• Strong technical writing skills.
• US Citizens or Green Card holders.

Preferred Experience:

• At least one peer-reviewed journal or conference publication in machine learning.
• Deep understanding of various machine/deep learning methods, including large language models.

Apply: Send your resume at info@polaronanalytics.com

Job Type: Full-time

Pay: $99,917.00 - $105,460.00 per year

Benefits:

• Health insurance
• Paid time off
• Retirement plan

Schedule:

• 8 hour shift
• Choose your own hours

Application Question(s):

• Are you a US Citizen or Green Card holder?

Experience:

• Large Language Model: 1 year (Required)
• Machine Learning: 3 years (Required)

Ability to Relocate:

• Miamisburg, OH 45342: Relocate before starting work (Required)

Work Location: In person

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