Los Alamos National Laboratory

Machine Learning Scientist

Los Alamos National Laboratory

Los Alamos, NM 87544, USA
Full-TimeDepends on ExperienceMid-LevelPhd or Professional
Job Description

Are you a Machine Learning Scientist who is excited by the prospect of applying your expertise to help solve some of the world's most challenging scientific and technical problems? If so, Los Alamos National Laboratory (LANL) is looking for an experienced, innovative individual like you to join our team!At LANL, we value knowledge, creativity and collaboration, and are looking for a Machine Learning Scientist who is eager to contribute to our mission of enhancing national security through research, development and application of cutting-edge technologies. The ideal candidate will have a strong background in machine learning, data science, and/or artificial intelligence, as well as experience developing software, algorithms, and data-driven approaches. We also value excellent communication skills and the ability to collaborate effectively with colleagues, stakeholders, and customers.If you are a dedicated and detail-oriented Machine Learning Scientist who is committed to making a positive impact on the world, then we look forward to hearing from you!

Responsibilities: -Develop machine learning algorithms and software solutions to address challenging scientific and technical problems. -Analyze large datasets and identify patterns to uncover system insights. -Design and develop data-driven approaches to solve complex problems. -Collaborate with colleagues, stakeholders, and customers to ensure successful project completion. -Create visualizations to communicate results effectively. -Stay up-to-date on the latest advances in machine learning and artificial intelligence. -Monitor system performance and troubleshoot any issues that may arise.

Where is this job?
This job is located at Los Alamos, NM 87544, USA
Job Qualifications
  • Or Related Field

  • Ability To Work Effectively In A Team Environment

  • Mathematics

  • Computer Science

  • C/C++

  • Java

  • Excellent Communication And Problem-Solving Skills

  • Phd. In Machine Learning

  • Experience With Statistical Learning Methods

  • Proficiency In Programming Languages Such As Python

  • And R

  • Knowledge Of Machine Learning Algorithms And Techniques

  • Knowledge Of Big Data Technologies Such As Hadoop And Spark

  • Experience With Software Development Best Practices

Required Skills
  • Python

  • Big Data

  • R

  • Machine Learning

  • Deep Learning

  • Data Visualization

  • Data Mining

  • Algorithm development

  • Data wrangling

  • Statistics

  • Unsupervised learning

  • Neural Networks

  • Feature Extraction

  • Supervised Learning

  • Model Tuning

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • creativity

  • Organization

  • Teamwork

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Machine Learning Scientist in Los Alamos, NM 87544, USA is $50,000 - $100,000. This range can vary depending on various factors such as experience, education, and the company offering the position.

Additional Information
Los Alamos National Laboratory is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedNovember 27th, 2023
Apply BeforeJuly 20th, 2025
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About Los Alamos National Laboratory

Los Alamos National Laboratory is a United States Department of Energy national laboratory initially organized during World War II for the design of nuclear weapons as part of the Manhattan Project. It is located a short distance northwest of Santa Fe, New Mexico, in the southwestern United States.

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