In-Person ML Engineer for Bio/Chem Defense Labs

Precise Systems; Edgewood (MD); On-site; USD 76,709 - 115,064; Full time

Benefits offered by this job

Health insurance

Life and AD&D coverage

Disability insurance

Retirement plans

Professional growth opportunities

Job summary

Precise Systems in Edgewood, Maryland is looking for a Machine Learning Engineer to support innovative chemical and biological defense projects. The candidate will apply their expertise in chemical and biological research and data analytics using Python and R.

The role requires collaboration with interdisciplinary teams to address biological and chemical challenges while ensuring the laboratory processes are optimized using ML tools and algorithms.

Salary range is between $76,709.46 and $115,064.18 annually, with comprehensive benefits included.

Qualifications

• Master's degree or relevant Bachelor with 5 years of experience.
• 3 years of experience in laboratory/computational environment.
• Hands-on experience with machine learning algorithms.

Responsibilities

• Perform ML model research, development, testing, and evaluation.
• Collaborate to develop ML solutions for chemical/biological challenges.
• Analyze data using Python and R to improve system performance.

Skills

Machine learning algorithms

Data science techniques

Python programming

R programming

Advanced communication skills

Software development approaches

Education

Master's degree in relevant fields

Bachelor's degree with 5 years experience

Ph.D. in Computational Biology/Chemistry

Tools

TensorFlow

PyTorch

Bioinformatics tools

Job description

Precise Systems in Edgewood, Maryland is looking for a Machine Learning Engineer to support innovative chemical and biological defense projects. The candidate will apply their expertise in chemical and biological research and data analytics using Python and R.

The role requires collaboration with interdisciplinary teams to address biological and chemical challenges while ensuring the laboratory processes are optimized using ML tools and algorithms.

Salary range is between $76,709.46 and $115,064.18 annually, with comprehensive benefits included.