Machine Learning Engineer/Scientist

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)