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Machine Learning Jobs in Santa Fe, NM (NOW HIRING)

General Motors

Senior AI/ML Engineer

Santa Fe, NM · On-site +1

$102K - $140K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV ...

GE Aerospace

Software Engineer AI/ML

Santa Fe, NM

$112K - $134K/yr

We're looking for an AI Engineer to help transform GE Aerospace operational data into production-grade machine learning pipelines, models, and LLM-powered applications. This is a multi-faceted ...

Crescent Hotels

Dishwasher

Santa Fe, NM · On-site

$12.75 - $16.50/hr

Whether it be our health & wellness programs, best in class learning and development or our travel ... Break down trays, set up dish machine, wash dish ware, and sort and store all clean china, glass ...

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All JobsMachine Learning JobsMachine Learning Jobs in Santa Fe, NM

Machine Learning information

See Santa Fe, NM salary details

$25K

$41.8K

$86.4K

How much do machine learning jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning in Santa Fe, NM is $41,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $45,200.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
What are popular job titles related to Machine Learning jobs in Santa Fe, NM? For Machine Learning jobs in Santa Fe, NM, the most frequently searched job titles are:
What cities near Santa Fe, NM are hiring for Machine Learning jobs? Cities near Santa Fe, NM with the most Machine Learning job openings:
Machine Learning jobs near you
Lead Scientific Developer - Biologics & Protein Design

Lead Scientific Developer - Biologics & Protein Design

OpenEye Scientific

Santa Fe, NM • On-site

Full-time

Posted 21 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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