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Senior Machine Learning Chemistry Jobs in Chicago, IL

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

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 features that Hyatt guests, members, customers and internal users leverage to transform the guest ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

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Senior Machine Learning Chemistry information

What does a senior machine learning chemist do?

A Senior Machine Learning Chemist applies advanced machine learning techniques to solve complex problems in chemistry, such as predicting molecular properties, designing new materials, or accelerating drug discovery. They often work at the intersection of chemistry, computer science, and data analysis, collaborating with interdisciplinary teams. Their responsibilities include developing and optimizing algorithms, analyzing chemical data, and translating scientific questions into computational models to drive innovation in the chemical and pharmaceutical industries.

What are the key skills and qualifications needed to thrive as a senior machine learning chemist?

To thrive as a Senior Machine Learning Chemist, you need a strong background in chemistry, expertise in machine learning algorithms, and an advanced degree (typically a PhD) in chemistry, computational science, or a related field. Proficiency with programming languages like Python, cheminformatics tools (such as RDKit), and experience with data analysis platforms and machine learning frameworks (e.g., TensorFlow, PyTorch) are crucial. Strong problem-solving skills, effective communication, and the ability to work collaboratively across interdisciplinary teams set successful candidates apart. These skills and qualities are vital for developing innovative solutions, translating chemical data into actionable insights, and advancing research and development in the field.

How does a senior machine learning chemistry professional typically collaborate with cross-functional teams in research and development projects?

Senior Machine Learning Chemistry professionals frequently collaborate with interdisciplinary teams, including computational chemists, data scientists, and experimental researchers. They play a key role in translating complex chemical problems into machine learning models, guiding data collection, and interpreting results to inform experimental design. Regular communication and joint planning sessions are common, ensuring that machine learning solutions align with project goals and that model outputs are actionable for the broader R&D team. This collaborative environment fosters innovation and accelerates the development of new materials or drugs.

What is the difference between Senior Machine Learning Chemistry vs Data Scientist?

AspectSenior Machine Learning ChemistryData Scientist
Required CredentialsAdvanced degrees in Chemistry, Data Science, or related fields; experience with machine learning and chemistry-specific toolsDegrees in Computer Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentResearch labs, pharmaceutical companies, biotech firms focusing on chemical data analysisTech companies, finance, healthcare, and various industries analyzing large datasets
Employer & Industry UsageUsed in industries combining chemistry and machine learning, such as drug discovery and materials scienceWidely used across industries for data analysis, predictive modeling, and business insights

While both roles involve data analysis and machine learning, Senior Machine Learning Chemistry specializes in applying these skills to chemical data and research, whereas Data Scientists work across diverse industries analyzing various types of data. The choice depends on your industry focus and expertise in chemistry versus general data analysis.

What are popular job titles related to Senior Machine Learning Chemistry jobs in Chicago, IL?

For Senior Machine Learning Chemistry jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Chemistry jobs in Chicago, IL look for?

The top searched job categories for Senior Machine Learning Chemistry jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Senior Machine Learning Chemistry jobs?

Cities near Chicago, IL with the most Senior Machine Learning Chemistry job openings:

Senior Machine Learning Chemistry jobs near you
Infographic showing various Senior Machine Learning Chemistry job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior Machine Learning Engineer

Chicago, IL • On-site

RIT Solutions, Inc.
Recruiting and Staffing Services • 201 - 500 employees
Learn more about RIT Solutions, Inc.external

$107K - $147K/yr

Full-time

Re-posted 24 days ago

Job description

Job Summary:
RIT Solutions, Inc. is seeking a Senior Machine Learning Engineer to help build algorithmic assets and features that enhance the guest experience and operational efficiencies at Hyatt. The role involves designing and implementing product architectures for machine learning models and collaborating with various teams to ensure successful integration and execution.
Responsibilities:
• Partner with data scientists to design workflows/architectures that activate ML models and maximize their impact, such as real-time streaming use-cases and offline batch optimizations.
• Partner with data scientists to develop prototype solutions of algorithmic products leveraging appropriate AWS services with appropriate consideration for scale and latency where applicable.
• Implement and productionize final solutions via infrastructure-as-code pattern.
• Implement data processing workflows to enhance our Feature Store with impactful data including appropriate data cleansing/imputation logic.
• Enhance existing algorithmic products architecture/workflow as needed to maximize impact of the algorithmic product.
• Partner with data engineering team to ensure data science data needs are being delivered in the appropriate format/cadence required for maximum impact.
• Stay up to date with latest design patterns and AWS services with respect to Machine Learning Engineering.
• Partner with data architecture, data governance, and security team to ensure solutions meet required standards.
Qualifications:
Required:
• 5+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products, hospitality experience not required
• Expertise in AWS cloud services
• Expertise in Python, SQL, PySpark, Docker
• Experience with streaming and batch data architectures at scale
• Experience operating in an Agile Methodology environment.
• Experience with DevOps and CI/CD concepts
• Excellent communication and teamwork skills
• master's degree in computer science, software engineering, or related fields required
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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