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Scientific Machine Learning Jobs in Delaware (NOW HIRING)

DijavAI

Machine Learning Auditor

Dover, DE · On-site

$120 - $180/hr

We are looking for a specialized Machine Learning Auditor to perform deep-dive technical audits of ... PhD or strong Master's in Computer Science or AI/ML. * Experience with PyTorch, TensorFlow, and ...

Sallie_mae

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85K - $104K/yr

Stay current with advancements in machine learning and data science, and evaluate new tools and technologies for adoption. The above information is intended to describe the general nature and level ...

Iff

AI & Data Scientist

Wilmington, DE · On-site

... machine learning and artificial intelligence solutions that enhance quality processes and scientific decision-making. * Build and maintain scalable data pipelines supporting structured and ...

Dlapiper

Data Scientist

Wilmington, DE · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

New

OneMain Financial

VP/MD Analytics

Wilmington, DE

The Role We're seeking a data science leader and practitioner to dream, design, and build machine learning foundations to drive our exciting growth agenda. The VP/MD of Data Science will focus on ...

OneMain Financial

VP/MD Analytics

Wilmington, DE · On-site

The Role We're seeking a data science leader and practitioner to dream, design, and build machine learning foundations to drive our exciting growth agenda. The VP/MD of Data Science will focus on ...

Tech Impact

Data Scientist - Fellowship

Wilmington, DE

$40/hr

Using best practices, diverse industry experience, access to technical and scientific talent, and ... Propose tangible machine learning solutions, helping to build products that advance the Lab's goals.

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Scientific Machine Learning information

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are the key skills and qualifications needed to thrive as a scientific machine learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What are some common challenges faced by professionals in scientific machine learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Delaware?

For Scientific Machine Learning jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Scientific Machine Learning jobs in Delaware look for?

The top searched job categories for Scientific Machine Learning jobs in Delaware are:

What cities in Delaware are hiring for Scientific Machine Learning jobs?

Cities in Delaware with the most Scientific Machine Learning job openings:

Scientific Machine Learning jobs near you
Infographic showing various Scientific Machine Learning job openings in Delaware as of August 2026, with employment types broken down into 78% Full Time, 7% Part Time, 4% Temporary, and 11% Contract. Highlights an 75% In-person, 11% Hybrid, and 14% Remote job distribution.

Machine Learning Auditor

DijavAI

Dover, DE • On-site

$120 - $180/hr

Other

Posted 4 days ago

Job description

We are looking for a specialized Machine Learning Auditor to perform deep-dive technical audits of complex neural networks. You will focus on explainability, robustness, and security vulnerabilities.

What You'll Do
  • Perform code reviews and architecture analysis of ML pipelines.
  • Test models for adversarial attacks and security vulnerabilities.
  • Validate model explainability methods (SHAP, LIME, etc.).
  • Verify data lineage and provenance tracking mechanisms.
  • Automate parts of the technical audit process using Python scripts.
What We're Looking For
  • PhD or strong Master's in Computer Science or AI/ML.
  • Experience with PyTorch, TensorFlow, and MLops tools.
  • Background in cybersecurity or algorithmic auditing.
  • Ability to explain complex technical concepts to non-technical stakeholders.
  • Published research in AI safety or fairness is highly desirable.
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