Machine Learning Post College Appointee

Location:  Livermore, CA
Category:  Students & Faculty
Organization:  Engineering
Posting Requirement:  External Posting
Job ID: 106723
Job Code: Post College Appointee Ex (710.0)
Date Posted: February 03 2020

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Join us and make YOUR mark on the World!

Come join Lawrence Livermore National Laboratory (LLNL) where we apply science and technology to make the world a safer place; now one of 2020 Best Places to Work by Glassdoor!

We have multiple openings for a Post College Appointee. You will conduct applied research in Machine Learning in support of the Laboratory’s core missions. This position is in the Computational Engineering Division in the Engineering Directorate.
 
Essential Duties
- Understand, implement and adapt state-of-the-art Machine Learning algorithms for natural language processing, multimodal learning, active learning, reinforcement learning, and explainable artificial intelligence.
- Conduct paper/code surveys of state-of-the-art Machine Learning algorithms relevant to the problem being addressed.
- Perform statistical analysis of real-world data to identify gaps and inform data collection efforts.
- Implement Python pipelines for data scraping and data processing.
- Implement TensorFlow or PyTorch pipelines for training and validation of deep neural networks.
- Implement interactive web apps to visualize results for algorithm demonstration.
- Document progress in the form of written reports.
- Contribute to the fulfillment of projects and fully function as a team member on multidisciplinary teams.
 
Qualifications
- Recent bachelor’s degree in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics or the equivalent combination of education and related experience.
- Experience with one or more of the following in a basic or applied setting: natural language processing, multimodal learning, active learning, reinforcement learning, and explainable artificial intelligence.
- Experience in Python.
- Experience with one or more deep learning libraries such as TensorFlow, PyTorch, Keras, Caffe.
- Experience with one or more deep reinforcement learning libraries such as rllab, keras-rl or OpenAI Gym.
- Experience with interactive web app development such as Flask or Bokeh.
- Verbal and written communication skills to collaborate effectively in a team environment and present technical ideas/results.

Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Security Clearance: This position requires either no security clearance, or a Department of Energy (DOE) L-level or Q-level clearance depending on the particular assignment.

If you are selected and a security clearance is required, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing. L and Q-level clearances require U.S. citizenship. If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.

If no security clearance is required, but your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)

Note: This is a one-year Post College Appointee with the possibility of extension to a maximum of two years. Eligible candidates are recent graduates within two years of the month of the bachelor's degree at the time of the employment offer.

About Us

Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $2.3 billion, employing approximately 6,900 employees.

LLNL is an affirmative action/ equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law.