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Machine Learning Social Sciences Jobs (NOW HIRING)

$28 - $45/hr

The intern will work closely with Data Scientists and Software Engineers to develop, train, evaluate, and deploy machine learning models that solve real-world business problems. Key Responsibilities ...

$28 - $45/hr

The intern will work closely with Data Scientists and Software Engineers to develop, train, evaluate, and deploy machine learning models that solve real-world business problems. Key Responsibilities ...

$28 - $45/hr

The intern will work closely with Data Scientists and Software Engineers to develop, train, evaluate, and deploy machine learning models that solve real-world business problems. Key Responsibilities ...

Bachelor's or Master's degree in Computer Science, Data Science, or related field * 3+ years of experience in machine learning or AI development * Strong proficiency in Python and its ML/data science ...

Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist. * Proficiency across topics in machine learning and statistics.

Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist. * Proficiency across topics in machine learning and statistics.

Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in ... You will collaborate closely with business stakeholders, data scientists, and cross-functional ...

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Machine Learning Social Sciences information

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$34.5K

$76.3K

$117K

How much do machine learning social sciences jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning social sciences in the United States is $76,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $91,500.00 per year, depending on experience, location, and employer.
Machine Learning Engineer

Machine Learning Engineer

Intelliswift

South San Francisco, CA • Remote

Other

Posted 19 days ago


Job description

Job ID: 21-13833
Responsibilities
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
• MS or PhD in a quantitative field ( e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Optional but preferred qualifications:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with development tools for experiment tracking, dataset versioning, and model management in machine learning.
* This position is remote


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About Intelliswift

Sourced by ZipRecruiter

Intelliswift is consumed with the love for the new. Once a leading staffing company, Intelliswift now possesses the expertise to build data-rich modern platforms, and to create sophisticated systems for data management and analytics for thinking and connected enterprises. We are a global leader in delivering Digital Product Engineering, Data Management & Analytics, Cloud, Digital Enterprise and MSP/VMS staffing solutions. Led by a team of highly passionate and techno-centric innovators, we consciously embed the spirit of loving and embracing everything new in what we do. We ardently believe that companies that Love the New are at an advantage of being ahead of the curve in this age of digital.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2001