Engineer Jobs in Edgewood, MD

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1mo ago

Machine Learning Engineer/Scientist

Precise Systems Edgewood, MD

Edgewood, MD

1mo ago Closed

$77k - $115k/yr Full time Ai Ml Artificial Intelligence Data Science

This position is no longer accepting applications (closed Sep 29, 2026).

Job Description

Precise Systems is seeking a Machine Learning Engineer/Scientist to support chemical and biological defense projects by building and validating ML-driven insights for laboratory automation.

Responsibilities

Perform end-to-end work on machine learning model research, development, testing, and evaluation for chemical and biological datasets under guidance of senior professionals.
Support chemical and biological R&D efforts by applying data science to help develop modern solutions to outpace emerging threats.
Partner with interdisciplinary teams to design machine learning solutions for biological and chemical challenges.
Develop and apply state-of-the-art ML tools and algorithms to optimize DoD research efforts.
Conduct internal verification and validation of models and code to support real laboratory deployment readiness.
Create dashboards and/or graphical user interfaces that support laboratory automation for experimentation workflows.
Analyze biological or chemical data using Python and R to produce mathematical insights and improve system performance.
Use DevSecOps and MLOps to integrate machine learning processes into secure data pipelines used in laboratory settings.
Collaborate with academic and industry partners to test and refine algorithms and biological systems in varied environments.
Carry out ongoing research to keep models and analysis current with latest advancements.

Requirements

Master’s degree in Computer Science, Computer Engineering, Computational Biology, or Bioinformatics.
OR Bachelor’s degree in a relevant field with 5 years of experience in a laboratory and/or computational environment.
3 years of experience in a laboratory and/or computational environment.
Hands-on experience applying machine learning algorithms and data science techniques to physical science problems.
Proficiency in Python and other programming languages commonly used for machine learning and data analysis.
Familiarity with physical science and laboratory experience.
Proficiency with software development approaches such as agile, git, DevSecOps, and/or MLOps.
Advanced communication skills for working with interdisciplinary teams, government representatives, and industry partners.
Willingness to learn new technologies and take on new challenges.
Strong written and oral communication, excellent interpersonal skills, and proficiency in PC software packages for data analysis and visualization.

Technologies

Python
R
DevSecOps
MLOps
git
agile
TensorFlow
PyTorch
PC software packages

Preferred

Ph.D. in Computational Biology/Chemistry, Machine Learning, Physical Sciences, or a related field with 1 year of experience in a laboratory and/or computational environment.
Expertise in advanced ML frameworks (e.g., TensorFlow, PyTorch) applied to biological data.
Experience with bioinformatics tools and databases.
Experience performing wet laboratory experimentation to validate software and models.
Knowledge of automation systems and robotics for laboratory workflows.
Collaboration experience with academic and industry partners on synthetic biology and machine learning projects.

Compensation

Salary range: $76,709.46 - $115,064.18 (annualized USD).
Compensation determined by education, experience, skills, competencies, and contract-specific requirements.
Salary is one component of Precise Systems’ total compensation package.

Benefits

Health insurance
Life and accidental death and dismemberment coverage
Disability insurance
Retirement plans
Holiday pay
Employee-managed leave
Professional growth opportunities

Location: Edgewood, MD (onsite)

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