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Senior Machine Learning Chemistry Jobs (NOW HIRING)

SageSure

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Clearview AI

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Senior Machine Learning Engineer Department: Engineering Employment Type: Full Time Location: New York, NY Description Clearview AI is the leading provider of facial recognition technologies to US ...

Attentive

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Attentive

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

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 ...

NICE Systems

Senior Machine Learning Engineer

Sandy, UT · On-site

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

Paylocity

Senior Machine Learning Engineer

$125K - $165K/yr

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

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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.

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States with the most job openings for Senior Machine Learning Chemistry jobs include:

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The top searched job categories for Senior Machine Learning Chemistry jobs are:

Senior Machine Learning Chemistry jobs near you
Infographic showing various Senior Machine Learning Chemistry job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Machine Learning Engineer

SageSure

Jersey City, NJ • On-site

$127K - $168K/yr

Full-time

Re-posted 4 days ago

Job description

Overview: 

If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Machine Learning Engineer.  As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with Software Engineers and Data scientists to streamline machine learning pipelines and implement best practices for managing and deploying ML models. 

What you'd be doing: 

  • Design and implement robust, scalable, and efficient data pipelines for training machine learning models. 
  • Develop prediction pipelines to ensure seamless integration of trained models into production environments. 
  • Create APIs and microservices to facilitate communication between machine learning models and other software modules. 
  • Design, build, and manage model deployment strategies to ensure reliability, scalability, and security in production environments. 
  • Implement monitoring and logging solutions to track model performance, data quality, and system health in real-time. 
  • Optimize orchestration processes to ensure efficient deployment and management of ML models. 
  • Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance. 
  • Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency. 

We're looking for someone who has: 

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field.  
  • 5-7 years of experience as an MLOps Engineer or similar role, with a proven track record of optimizing machine learning pipelines and infrastructure. 
  • Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). 
  • Experience with orchestration tools and frameworks such as Airflow, Kubeflow, or MLflow. 
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn. 
  • Experience in deploying machine learning models in production environments and managing model lifecycle. 
  • Excellent problem-solving skills and ability to work independently as well as part of a team. 
  • Strong communication skills and ability to collaborate effectively with cross-functional teams. 

Data at SageSure 

At SageSure, data isn't just a function-it's a force for innovation. Our Data organization brings together Data Science, Business Intelligence, and Data Management to power smarter decisions and deliver meaningful impact across the business. From predictive modeling to scalable data ecosystems and actionable insights, we turn complex information into clarity that drives real results. 

We're building a team of curious, collaborative problem-solvers who are passionate about using data to make a difference. Whether you're advancing machine learning capabilities, strengthening data governance, or uncovering insights that shape strategy, you'll play a critical role in defining how SageSure uses data to lead the future of insurance. 

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