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Machine Learning Defense Jobs in New Mexico (NOW HIRING)

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Machine Learning Defense information

What are the key skills and qualifications needed to thrive as a Machine Learning Defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in Machine Learning Defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.
What are popular job titles related to Machine Learning Defense jobs in New Mexico? For Machine Learning Defense jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in New Mexico look for? The top searched job categories for Machine Learning Defense jobs in New Mexico are:
What cities in New Mexico are hiring for Machine Learning Defense jobs? Cities in New Mexico with the most Machine Learning Defense job openings:
Postdoctoral Researcher in Agentic AI, Machine Learning, and Immunology

Postdoctoral Researcher in Agentic AI, Machine Learning, and Immunology

Los Alamos National Laboratory

Los Alamos, NM • On-site

$99K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

8th of 120 rated laboratories


Job description

Description
Job Title Postdoctoral Researcher in Agentic AI, Machine Learning, and Immunology
Location Los Alamos, NM, US
Organization Name T-6/Theoretical Biology And Biophysics
Minimum Salary
Maximum Salary
What You Will Do
We are looking for an independent and creative individual with an excellent record to join our research efforts in projects at the interface of Immunology, Computer Science and Biophysics. This postdoctoral position is available to work in the field of computational biophysics in the Theoretical Biology and Biophysics Group at the Los Alamos National Laboratory.
We are seeking a postdoctoral researcher with expertise in agentic AI, machine learning, and immunology. The successful candidate will develop LLM-based agentic workflows to interpret complex biological data and predict immune responses to vaccines and therapeutics.
The candidate should also have experience building machine-learning models for protein-protein and protein-small-molecule interactions, antigen discovery, and immune-response modeling.
What You Need
Minimum Job Requirements:

Strong knowledge of immunology
  • Experience with LLM APIs and agentic AI frameworks such as LangChain
  • Proficiency in Python, PyTorch, or TensorFlow
  • Experience developing predictive and multimodal ML models
  • Ability to address uncertainty in limited, noisy, or high-dimensional biological data
  • Experience scaling models in cloud or HPC environments
  • Background in antigen discovery, protein interactions, or immune-response modeling

Desired Qualifications:
  • Excellent written and oral communication skills
  • Past research collaborations with experimentalists
  • Experience in multi-disciplinary research projects.

Education: PhD in related field completed within the last 5 years or soon to be completed.
Work Location:
The work location for this position is onsite and located in Los Alamos, NM.
Salary:
Starting salary for a new graduate is currently $99,500.00 and increases with years of experience post PhD. For more information on salary and benefits, please visit LANL's Postdoctoral Research page: https://collaboration.lanl.gov/postdoctoral-research/
Note to Applicants:
For further information please contact: gnana@lanl.gov. For information on projects, please check the following webpage
https://cnls.lanl.gov/External/people/Gnana.html
This job ad will remain open until December 31, 2026, or until positions are filled.
Candidates may be considered for a Director's Fellowship and outstanding candidates may be considered for the prestigious Marie Curie, Richard P. Feynman, J. Robert Oppenheimer, or Frederick Reines Fellowships. For general information to go to Postdoc Program
Note to Applicants:
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
  • PPO or High Deductible medical insurance with the same large nationwide network
  • Dental and vision insurance
  • Free basic life and disability insurance
  • Paid childbirth and parental leave
  • Award-winning 401(k) (6% matching plus 3.5% annually)
  • Learning opportunities and tuition assistance
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50 mile radius)

Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
Employment Status Full Time
Appointment Type Postdoc
Postdoc
Contact Details
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