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Scientific Machine Learning Jobs in Griffith, IN

Links Partners

Machine Learning Scientist

Chicago, IL

$116K - $130K/yr

Chicago, IL Job Overview As a machine learning scientist in our clients innovative and fast-paced team, you will be building machine learning models as well as designing and developing next ...

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay updated with the latest advancements in machine learning.

PayPal

Machine Learning Engineer

Chicago, IL

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay updated with the latest advancements in machine learning.

Apex Systems

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Hyatt seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and ... Partner with data scientists to develop prototype solutions of algorithmic products leveraging ...

Varsity Tutors

Machine Learning Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Valparaiso, IN · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Chicago, IL · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

IMC

Machine Learning Researcher

Chicago, IL

Design and deploy machine learning models to enhance trading performance across various asset ... PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field ...

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Scientific Machine Learning information

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$12

$28

$47

How much do scientific machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for scientific machine learning in Griffith, IN is $28.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $36.11 per hour, depending on experience, location, and employer.

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 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 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 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 cities near Griffith, IN are hiring for Scientific Machine Learning jobs? Cities near Griffith, IN with the most Scientific Machine Learning job openings:
Scientific Machine Learning jobs near you
Machine Learning Scientist

Machine Learning Scientist

Links Partners

Chicago, IL

$116K - $130K/yr

Full-time

Posted 27 days ago

Job description

Base pay range

$116,000.00/yr - $130,000.00/yr

Direct message the job poster from Links Partners

Reports To: Chief of Data Science and AI

Location: Chicago, IL

Job Overview

As a machine learning scientist in our clients innovative and fast-paced team, you will be building machine learning models as well as designing and developing next generation AI applications that allow legal investigators and litigation professionals to filter millions of documents down to those most important to their case.

From your seat in our beautiful new office in downtown Chicago, you will have access to many teammates to help respond to clients timely. Our office is in the heart of the loop with very convenient access to all major public transportation lines. Please be aware that we are onsite with a traditional five-day workweek schedule. This is a fully in-person role.

Responsibilities & Duties
  • Design and implement advancements in AI and GenAI-based modules.
  • Design and implement new AI and GenAI functionality.
  • Work with internal stakeholders on creating solutions tailored to the customer’s needs.
  • Work on scalability and performance of AI functionality.
Characteristics
  • Creativity and quick problem-solving abilities demonstrated in industry or academic projects.
  • Strong collaboration and team playing skills.
  • Oand time management skills to handle multiple competing demands.
Education & Experience
  • M.S. or Ph.D. in Computer Science, BS in Computer Science.
  • 3-4 years of industry work experience.
  • Solid understanding of core ML concepts, algorithms, and evaluation metrics.
  • Understanding of Large Language Models fundamentals.
  • Hands-on experience with prompt engineering for specific tasks and domains. Skills in techniques like chain-of-thought prompting and in techniques to improve LLM performance and reduce hallucinations.
  • Experience with Retrieval-Augmented Generation (RAG).
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with cloud services (AWS, Azure, GCP) for data storage, model training, and deployment.
  • Proficiency with Git and platforms like GitHub for code management.
  • Experience with Docker.
  • Understanding and implementation of continuous integration and continuous delivery practices.
  • Understanding of data structures, algorithms, object-oriented programming (OOP), and system design.
Seniority level

Associate

Employment type

Full-time

Job function

Information Technology

Software Development

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