Machine Learning Research Lead
Chicago, IL · On-site
IMC Trading is a global trading firm seeking a Machine Learning Research Lead with proven ... Required : • PhD or Master's in Engineering, Math, Statistics, Computer Science, or related ...
Machine Learning Research Lead
Chicago, IL · On-site
IMC Trading is a global trading firm seeking a Machine Learning Research Lead with proven ... Required : • PhD or Master's in Engineering, Math, Statistics, Computer Science, or related ...
Principal Machine Learning Architect
Naperville, IL · On-site
$130 - $160/hr
Role Overview We are seeking a Principal Machine Learning Engineer to join our Data Science team. This critical role involves developing and enhancing our MLOps platform. You'll need a unique blend ...
Principal Machine Learning Architect
Naperville, IL · On-site
$130 - $160/hr
Role Overview We are seeking a Principal Machine Learning Engineer to join our Data Science team. This critical role involves developing and enhancing our MLOps platform. You'll need a unique blend ...
Senior Software Engineer (Machine Learning)
Chicago, IL · On-site
$126K - $166K/yr
As a Software Engineer on our data science and machine learning team, you will contribute directly to the development of high-impact products. Working together with data scientists, engineers, and ...
Senior Software Engineer (Machine Learning)
Chicago, IL · On-site
$126K - $166K/yr
As a Software Engineer on our data science and machine learning team, you will contribute directly to the development of high-impact products. Working together with data scientists, engineers, and ...
Senior Software Engineer (Machine Learning)
$126K - $166K/yr
As a Software Engineer on our data science and machine learning team, you will contribute directly to the development of high-impact products. Working together with data scientists, engineers, and ...
Senior Software Engineer (Machine Learning)
$126K - $166K/yr
As a Software Engineer on our data science and machine learning team, you will contribute directly to the development of high-impact products. Working together with data scientists, engineers, and ...
Assistant Member Tenure-earning in the Department of Machine Learning at Moffitt Cancer Center
Chicago, IL · On-site
$17.50 - $20.50/hr
The Independent Scientist Pathway is intended for tenure-track individuals who dedicate most of ... We currently have faculty initiating a wide range of machine learning research and its application ...
Assistant Member Tenure-earning in the Department of Machine Learning at Moffitt Cancer Center
Chicago, IL · On-site
$17.50 - $20.50/hr
The Independent Scientist Pathway is intended for tenure-track individuals who dedicate most of ... We currently have faculty initiating a wide range of machine learning research and its application ...
Graduate Machine Learning Researcher - Chicago
Chicago, IL · On-site
$300K/yr
PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics or a related quantitative field * Strong foundations in machine learning, probability, and ...
Graduate Machine Learning Researcher - Chicago
Chicago, IL · On-site
$300K/yr
PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics or a related quantitative field * Strong foundations in machine learning, probability, and ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
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 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?
| Aspect | Scientific Machine Learning | Data Scientist |
|---|---|---|
| Required credentials | Advanced degrees in CS, ML, or related fields; knowledge of scientific computing | Degree in CS, statistics, or related fields; strong analytical skills |
| Work environment | Research labs, academia, industry R&D teams | Business analytics, tech companies, consulting firms |
| Industry usage | Research, scientific computing, engineering simulations | Business 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 Illinois? For Scientific Machine Learning jobs in Illinois, the most frequently searched job titles are:
- Python Data Scientist
- Senior Machine Learning Engineer Biotech
- Remote Histology Supervisor
- Contract Machine Learning Research Scientist
- Remote Guitar Teacher
- Nlp Research Scientist
- Temporary Machine Learning R
- Data Science For Social Good
- Flexible Machine Learning Engineer Biotech
- Temporary Machine Learning Scientist
What job categories do people searching Scientific Machine Learning jobs in Illinois look for? The top searched job categories for Scientific Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Scientific Machine Learning jobs? Cities in Illinois with the most Scientific Machine Learning job openings:
Full-time
Re-posted 19 days ago
Job description
Job Summary:
IMC Trading is a global trading firm seeking a Machine Learning Research Lead with proven experience in applying advanced machine learning techniques to enhance trading performance. The role involves leading the development of machine learning models, collaborating with traders and researchers, and driving innovation in a centralized ML environment.
Responsibilities:
• Lead the design, development, and deployment of machine learning models to enhance trading performance across various asset classes
• Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization
• Collaborate with quantitative traders, researchers and developers to translate market insights into data-driven features and models
• Oversee data acquisition, preprocessing, and feature engineering for structured and unstructured data sources
• Mentor junior researchers and contribute to a culture of research excellence and experimentation
• Drive strategic decisions on model architecture, experimentation pipelines, and infrastructure for scalable research
Qualifications:
Required:
• PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field
• 4+ years of experience building applied ML models; previous experience in trading environment preferred
• Proven expertise in developing and deploying predictive models in low-latency environments
• Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax
• Strong understanding of theoretical foundations of state-of-the-art ML models
• Ability and desire to work in a collaborative team environment
• Excellent written and verbal communication skills
Preferred:
• Previous experience in trading environment
• Prior people management experience
Company:
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Founded in 2022, the company is headquartered in Klein Amsterdam, NLD, with a team of 1001-5000 employees. The company is currently Late Stage.
IMC Trading is a global trading firm seeking a Machine Learning Research Lead with proven experience in applying advanced machine learning techniques to enhance trading performance. The role involves leading the development of machine learning models, collaborating with traders and researchers, and driving innovation in a centralized ML environment.
Responsibilities:
• Lead the design, development, and deployment of machine learning models to enhance trading performance across various asset classes
• Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization
• Collaborate with quantitative traders, researchers and developers to translate market insights into data-driven features and models
• Oversee data acquisition, preprocessing, and feature engineering for structured and unstructured data sources
• Mentor junior researchers and contribute to a culture of research excellence and experimentation
• Drive strategic decisions on model architecture, experimentation pipelines, and infrastructure for scalable research
Qualifications:
Required:
• PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field
• 4+ years of experience building applied ML models; previous experience in trading environment preferred
• Proven expertise in developing and deploying predictive models in low-latency environments
• Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax
• Strong understanding of theoretical foundations of state-of-the-art ML models
• Ability and desire to work in a collaborative team environment
• Excellent written and verbal communication skills
Preferred:
• Previous experience in trading environment
• Prior people management experience
Company:
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Founded in 2022, the company is headquartered in Klein Amsterdam, NLD, with a team of 1001-5000 employees. The company is currently Late Stage.