Machine Learning Engineer - Automated Chromatography Analysis

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

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Weekend work

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Company

Equity

Offered From the posting source

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Machine Learning Engineer - Automated Chromatography Analysis Houston, TX, United States Company Description: Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate. Eurofins is dedicated to delivering testing services that contribute to the health and safety of society and the planet, and to its corporate responsibility to protect the environment and ensure diversity, equity, and inclusion across the entire network of Eurofins companies. Job Description: We are seeking a Machine Learning (ML) Expert with experience in chemical data processing to drive AI innovations in analytical chemistry. You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets. Job Duties: Develop AI/ML models for processing mass spectrometry and chromatography data Build software solutions to automate chemical data analysis and interpretation Integrate ML algorithms into analytical pipelines for chemical property prediction and anomaly detection Optimize data structures for high-throughput chemical analysis Collaborate with data scientists Troubleshoot complex technical issues and optimize software performance Additional duties as assigned Qualifications: Basic Minimum Qualifications: MSc or PhD in Machine Learning, Data Science, Chemistry, or a related

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