ML Engineer: Automated Chromatography Analytics

Eurofins Environment Testing (USA); Houston (TX); On-site; USD 90,000 - 110,000; Full time

Benefits offered by this job

Comprehensive medical coverage

401(k) with company match

Paid holidays and time off

Dental and vision options

Job summary

A leading analytical testing company in Houston is seeking a Machine Learning Engineer to innovate AI solutions in analytical chemistry. The successful candidate will develop models for processing mass spectrometry data and design software for automated analysis. Ideal candidates hold an MSc or PhD in related fields and possess strong Python programming skills, with experience in GC‑MS and HPLC‑MS. The role offers a comprehensive benefits package and promotes diversity and workplace development.

Qualifications

• MSc or PhD in Machine Learning, Data Science, Chemistry, or a related field.
• Strong programming skills in Python, including libraries such as Pandas, Scikit-learn, PyTorch, TensorFlow.
• Experience with GC‑MS, HPLC‑MS and managing large chemical datasets.
• Familiarity with cloud-based AI solutions (AWS, Azure, GCP).
• Authorization to work in the United States without restriction or sponsorship.

Responsibilities

• Develop AI/ML models for processing mass spectrometry and chromatography data.
• Build software solutions to automate chemical analysis and interpretation.
• Integrate ML algorithms into analytical pipelines for predictions and detections.
• Optimize data structures for high-throughput chemical analysis.
• Troubleshoot complex technical issues and optimize software performance.

Skills

Programming in Python

GC‑MS and HPLC‑MS experience

Cloud-based AI solutions

Education

MSc or PhD in Machine Learning, Data Science, Chemistry

Tools

Docker

Kubernetes

CI/CD

Job description

A leading analytical testing company in Houston is seeking a Machine Learning Engineer to innovate AI solutions in analytical chemistry. The successful candidate will develop models for processing mass spectrometry data and design software for automated analysis. Ideal candidates hold an MSc or PhD in related fields and possess strong Python programming skills, with experience in GC‑MS and HPLC‑MS. The role offers a comprehensive benefits package and promotes diversity and workplace development.