Machine Learning Engineer/Chemist - Careers at Leidos
Leidos
Machine Learning Engineer/Chemist - Careers at Leidos
Job Description
Join Leidos' Security Enterprise Solutions as a Machine Learning Engineer/Chemist
Leidos’ Security Enterprise Solutions (SES) is seeking a Machine Learning Engineer with strong analytical chemistry instrumentation background to drive our data science and AI initiatives. Build and maintain ML models and pipelines for trace detection using Ion Mobility Spectrometry (IMS) technology. Collaborate cross-functionally to deploy scalable solutions with real-world impact in automated security systems.
Primary Responsibilities
- Lead end-to-end ML model lifecycle: design, development, testing, deployment for IMS-based trace detection algorithms.
- Handle large datasets: cleaning, preprocessing, feature engineering.
- Partner with chemists, data scientists, engineers, product managers for seamless ML integration.
- Monitor performance, retrain models, ensure production reliability.
- Document processes, establish best practices, track latest ML advancements.
Required Qualifications
- Bachelor’s in chemistry/chemical engineering or CS/Engineering/Math + 5+ years IMS/MS hands-on experience.
- US citizenship for Public Trust clearance.
- ML fundamentals: supervised/unsupervised learning, evaluation metrics.
- Python proficiency + scikit-learn, pandas, NumPy.
- OOP design, PyTorch familiarity, cloud (AWS/GCP/Azure), Git, MLOps basics, SQL.
- Exceptional problem-solving, communication, adaptability.
Preferred Qualifications
- Master’s in chemistry/data science + 3-5 years ML experience.
- Proven ML deployment in spectrometry projects.
- Cloud certifications, deep PyTorch expertise, data engineering (Airflow, Spark).
- Open-source contributions, Kaggle, publications.
Why Leidos?
Outthink, outbuild, outpace the status quo. We're recruiting disruptors for high-impact missions in security innovation. Pay Range: $87,100 - $157,450 USD (factors include experience, skills). Location: Tewksbury, MA. Full-time, mid-level. Apply now to push boundaries in AI-driven security.
Locations
- Tewksbury, Massachusetts, United States
Salary
87,100 - 157,450 USD / yearly
87,100 - 157,450 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Ion Mobility Spectrometry (IMS)intermediate
- Mass Spectrometry (MS)intermediate
- Pythonintermediate
- Scikit-learnintermediate
- Pandasintermediate
- NumPyintermediate
- PyTorchintermediate
- Machine Learning Fundamentalsintermediate
- Object-Oriented Designintermediate
- Gitintermediate
- SQLintermediate
- MLOps (MLflow, Docker, CI/CD)intermediate
- AWS/GCP/Azureintermediate
- Data Preprocessingintermediate
- Feature Engineeringintermediate
Required Qualifications
- Bachelor’s degree in chemistry/chemical engineering or Computer Science/Engineering/Math with 5+ years hands-on IMS/MS experience (experience)
- US citizenship for Public Trust clearance (experience)
- Proficiency in Python and ML libraries (experience)
- Familiarity with PyTorch and cloud platforms (experience)
- Strong problem-solving and communication skills (experience)
- Master’s degree in chemistry/data science preferred with 3-5 years ML experience (experience)
- Cloud certifications (Azure AI, AWS ML Specialty, GCP ML Engineer) preferred (experience)
Responsibilities
- Lead design, development, testing, and deployment of ML models for trace detection algorithms using IMS technology
- Work with large datasets: cleaning, preprocessing, feature engineering
- Collaborate with chemists, data scientists, engineers, and product managers to integrate ML models
- Monitor model performance and retrain/update models as needed
- Contribute to documentation, best practices, and stay current with ML research/tools
Benefits
- general: Competitive salary $87,100 - $157,450
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) with company match
- general: Professional development and tuition reimbursement
- general: Flexible work options and paid time off
- general: Mission-driven impact in security solutions
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Answer 10 quick questions to check your fit for Machine Learning Engineer/Chemist - Careers at Leidos @ Leidos.
Related Books and Jobs
Machine Learning Engineer/Chemist - Careers at Leidos
Leidos
Machine Learning Engineer/Chemist - Careers at Leidos
Job Description
Join Leidos' Security Enterprise Solutions as a Machine Learning Engineer/Chemist
Leidos’ Security Enterprise Solutions (SES) is seeking a Machine Learning Engineer with strong analytical chemistry instrumentation background to drive our data science and AI initiatives. Build and maintain ML models and pipelines for trace detection using Ion Mobility Spectrometry (IMS) technology. Collaborate cross-functionally to deploy scalable solutions with real-world impact in automated security systems.
Primary Responsibilities
- Lead end-to-end ML model lifecycle: design, development, testing, deployment for IMS-based trace detection algorithms.
- Handle large datasets: cleaning, preprocessing, feature engineering.
- Partner with chemists, data scientists, engineers, product managers for seamless ML integration.
- Monitor performance, retrain models, ensure production reliability.
- Document processes, establish best practices, track latest ML advancements.
Required Qualifications
- Bachelor’s in chemistry/chemical engineering or CS/Engineering/Math + 5+ years IMS/MS hands-on experience.
- US citizenship for Public Trust clearance.
- ML fundamentals: supervised/unsupervised learning, evaluation metrics.
- Python proficiency + scikit-learn, pandas, NumPy.
- OOP design, PyTorch familiarity, cloud (AWS/GCP/Azure), Git, MLOps basics, SQL.
- Exceptional problem-solving, communication, adaptability.
Preferred Qualifications
- Master’s in chemistry/data science + 3-5 years ML experience.
- Proven ML deployment in spectrometry projects.
- Cloud certifications, deep PyTorch expertise, data engineering (Airflow, Spark).
- Open-source contributions, Kaggle, publications.
Why Leidos?
Outthink, outbuild, outpace the status quo. We're recruiting disruptors for high-impact missions in security innovation. Pay Range: $87,100 - $157,450 USD (factors include experience, skills). Location: Tewksbury, MA. Full-time, mid-level. Apply now to push boundaries in AI-driven security.
Locations
- Tewksbury, Massachusetts, United States
Salary
87,100 - 157,450 USD / yearly
87,100 - 157,450 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Ion Mobility Spectrometry (IMS)intermediate
- Mass Spectrometry (MS)intermediate
- Pythonintermediate
- Scikit-learnintermediate
- Pandasintermediate
- NumPyintermediate
- PyTorchintermediate
- Machine Learning Fundamentalsintermediate
- Object-Oriented Designintermediate
- Gitintermediate
- SQLintermediate
- MLOps (MLflow, Docker, CI/CD)intermediate
- AWS/GCP/Azureintermediate
- Data Preprocessingintermediate
- Feature Engineeringintermediate
Required Qualifications
- Bachelor’s degree in chemistry/chemical engineering or Computer Science/Engineering/Math with 5+ years hands-on IMS/MS experience (experience)
- US citizenship for Public Trust clearance (experience)
- Proficiency in Python and ML libraries (experience)
- Familiarity with PyTorch and cloud platforms (experience)
- Strong problem-solving and communication skills (experience)
- Master’s degree in chemistry/data science preferred with 3-5 years ML experience (experience)
- Cloud certifications (Azure AI, AWS ML Specialty, GCP ML Engineer) preferred (experience)
Responsibilities
- Lead design, development, testing, and deployment of ML models for trace detection algorithms using IMS technology
- Work with large datasets: cleaning, preprocessing, feature engineering
- Collaborate with chemists, data scientists, engineers, and product managers to integrate ML models
- Monitor model performance and retrain/update models as needed
- Contribute to documentation, best practices, and stay current with ML research/tools
Benefits
- general: Competitive salary $87,100 - $157,450
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) with company match
- general: Professional development and tuition reimbursement
- general: Flexible work options and paid time off
- general: Mission-driven impact in security solutions
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Engineer/Chemist - Careers at Leidos @ Leidos.
Related Books and Jobs