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Temporary Machine Learning Engineer Jobs in New Mexico

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Temporary Machine Learning Engineer information

What is the difference between Temporary Machine Learning Engineer vs Data Scientist?

AspectTemporary Machine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech or finance companiesResearch and analysis-focused, in tech, finance, or healthcare sectors
Employer UsageUsed for short-term ML projects, model deployment, or prototypingUsed for data analysis, insights, and predictive modeling

Temporary Machine Learning Engineers focus on implementing and deploying ML models on a short-term basis, often within project deadlines. Data Scientists analyze data to generate insights and develop models but may have a broader scope. Both roles require strong technical skills, but their primary functions differ in scope and application.

What are the most commonly searched types of Machine Learning Engineer jobs in New Mexico? The most popular types of Machine Learning Engineer jobs in New Mexico are:
What are popular job titles related to Temporary Machine Learning Engineer jobs in New Mexico? For Temporary Machine Learning Engineer jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Engineer jobs in New Mexico look for? The top searched job categories for Temporary Machine Learning Engineer jobs in New Mexico are:
What cities in New Mexico are hiring for Temporary Machine Learning Engineer jobs? Cities in New Mexico with the most Temporary Machine Learning Engineer job openings:
Infographic showing various Temporary Machine Learning Engineer job openings in New Mexico as of July 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 89% In-person, and 11% Remote job distribution.

Lead Scientific Developer - Biologics & Protein Design

OpenEye Scientific

Santa Fe, NM

Full-time

Re-posted 18 days ago


Job description

Over the last eight years, OpenEye Scientific has developed the field's most advanced large-scale compute platform, Orion, built on Amazon Web Services. In this position, you will be working at the cutting edge of cloud computing, C++/Python development, and advanced MD simulation techniques. Your work will have the potential to make a major impact in drug discovery, and will be available to many pharmaceutical and biotech companies.

This Position is On-site in our Santa Fe, NM Office

OpenEye, Cadence Molecular Sciences- a division of Cadence Design Systems - is an industry leader in computational molecular design through rapid, robust, and scalable software, consulting services, and Orion, the only cloud-native fully integrated software-as-a-service molecular modeling platform. Combining unlimited computation and storage with powerful tools for data sharing, visualization and analysis in a customizable development platform, Orion offers unprecedented capabilities for the advancement of pharmaceuticals, biologics, agrochemicals, and flavors and fragrances. OpenEye, Cadence Molecular Sciences is headquartered in Santa Fe, N.M., with offices in Boston, Mass.; Cologne, Germany; and Tokyo, Japan.

We are looking for a lead scientific software developer to join a growing team of experts working on biologics and protein design. The highly focused team will work together to drive forward technologies which leverage AI and OpenEye's long standing 3D modeling capabilities in our cloud platform, Orion. The team's guiding principle is to deliver solutions that better enable scientists in the pharmaceutical and biotech industries to develop next generation biologic medicines.

This Position is On-site in our Santa Fe, NM Office

What you'll do:

  • Work on challenging problems and help find practical solutions that advance the field of computational biologics drug discovery
  • Develop highly scalable and integrated solutions for biologics drug discovery in the cloud
  • Develop data-driven models using sequence and 3D molecular shape representations leveraging AI and physics-based approaches
  • Expand OpenEye's biomolecular modeling and protein informatics technologies
  • Collaborate with great colleagues within our group, within OpenEye & Cadence, as well as within the broader pharmaceutical industry on developing new methods, tools, and solutions

What you should have:

  • This Position is On-site in our Santa Fe, NM Office
  • PhD (or equivalent experience) in computational chemistry, structural biology, biochemistry, or related field with a least 5 years relevant experience
  • Strong desire to change the field of biologics drug discovery through hard work, creating robust software tools, and critical scientific evaluation.
  • Demonstrated ability to work both independently and as part of a team. Ability to work humbly with others, admitting mistakes and constructively working through differences in opinion.
  • Experience with molecular dynamics simulations and machine learning
  • Programming expertise, ideally in Python, preferably with experience using AI coding agents
  • Proven track record of delivering software solutions

The following are a PLUS, but not required:

  • Expertise with traditional machine learning and/or modern deep learning methods
  • Experience with OpenEye software/toolkits or other computational chemistry toolkits
  • Experience with protein language models and protein folding technologies
  • Experience with modeling antibodies based on sequence and structural data
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