HR: Employment Opportunities
 
 Job posting 20-60
Opening date: November 5, 2020
Closing date: February 5, 2021

TITLE Machine Learning Specialist, IS-2210, Grades 11 -13; $71,274 to $132,064 Annually
TYPE OF POSITION: Trust Fund (non-Federal)Indefinite
DIVISION: - HEA High Energy Astrophysics Division
LOCATION: Cambridge, MA

AREA OF CONSIDERATION: This position is open to all qualified candidates. First consideration may be made 14 days after the opening date. This is a career ladder opportunity with promotion potential to grade 13. Selection for this position to be made at the grade 11, 12 or 13 level. Candidates may be non competitively promoted to the next grade level , up to grade 13, upon the recommendation of the supervisor based on classification requirements, satisfactory performance and qualifications of the employee.

SUMMARY:

This is the position of Machine Learning Specialist in the NASA Astrophysics Data System (ADS) Project, High Energy Astrophysics Division of the Smithsonian Astrophysical Observatory.

Responsibilities:

The ADS serves a corpus of more than 14M scientific articles with more than 129M citations to a worldwide community of astronomers, researchers and librarians with hundreds of thousands of requests per day. The system uses a modern development stack: a custom build of the open-source search engine Apache Solr, a highly responsive UI engineered on top of React, a high performance distributed brokerage system, and cloud-based hosted services with Kubernetes in Amazon Web Services.

Duties may include, but are not limited to:

1. Function as a part of a team to train and evaluate machine learning / deep learning models that expand the functionality of the ADS search engine with newcapabilities and services

2. Apply established data analysis / modeling techniques to develop services for better data classification, recommendation systems, and proactive detection of data problems

3. Enhance the ADS API and back-end services to support the community needs

4. Participate in enriching the ADS data holdings

5. Perform other duties as may be required

In addition to the duties listed above, duties at the grade 12 may include but are not limited to:

1. Design, train and evaluate machine learning / deep learning models that expand the functionality of the ADS search engine with new capabilities and services

2. Develop new and apply established data analysis / modeling techniques to create services for better data classification, recommendation systems, and proactive detection of data problems

QUALIFICATIONS:

For all positions individuals must have IT-related experience demonstrating each of the four competencies listed below.

1. Attention to Detail - Is thorough when performing work and conscientious about attending to detail.

2. Customer Service - Works with clients and customers (that is, any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; knows about available products and services; is committed to providing quality products and services.

3. Oral Communication - Expresses information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information (for example, technical, sensitive, controversial); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately.

4. Problem Solving - Identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations.

AND

Candidates for grade 11 must possess minimum of one year of specialized experience equivalent to at least the grade 9 in the normal line of progression for this occupation. Specialized experience is experience that has equipped the applicant with the particular competencies/knowledge, skills, and abilities to successfully perform the duties of the position such knowledge of the Linux operating system and Docker; knowledge of the Python programming language at a proficient level; knowledge of data analysis techniques and scientific packages such as numpy, scipy, pandas, and scikit-learn; knowledge of machine learning principles and practices (e.g., training, evaluating and deploying models); and ability to build secure, reusable and scalable code and libraries to support applications, services and databases.

Candidates for grade 12 must possess a minimum of one year of specialized experience equivalent to at least the grade 11 in the normal line of progression for this occupation. Specialized experience is experience that has equipped the applicant with the particular competencies/knowledge, skills, and abilities to successfully perform the duties of the position such as proficient knowledge of the Linux operating system and Docker; knowledge of the Python programming language at a proficient level; knowledge of data analysis techniques and scientific packages such as numpy, scipy, pandas, and scikit-learn; knowledge of machine learning principles and practices (e.g., training, evaluating and deploying models), text mining, and natural language processing techniques; and ability to build secure, reusable and scalable code and libraries to support applications, services and databases.

Candidates for grade 13 must possess a minimum of one year of specialized experience equivalent to at least the grade 12 in the normal line of progression for this occupation. Specialized experience is experience that has equipped the applicant with the particular competencies/knowledge, skills, and abilities to successfully perform the duties of the position such as proficient knowledge of the Linux operating system and Docker; knowledge of the Python programming language at a proficient level; knowledge of data analysis techniques and scientific packages such as numpy, scipy, pandas, and scikit-learn; knowledge of machine learning principles and practices (e.g., training, evaluating and deploying models), text mining, natural language processing techniques, modern language models (e.g., Google BERT), and deep neural network architectures; and ability to build secure, reusable and scalable code and libraries to support applications, services and databases.

EDUCATION

All academic degrees and coursework must be from accredited or pre-accredited institutions. Undergraduate or Graduate Education: Degree in computer science, engineering, information science, information systems management, mathematics, operations research, statistics, or technology management or degree that provided a minimum of 24 semester hours in one or more of the fields identified above and required the development or adaptation of applications, systems or networks.

Grade 11: Ph.D. or equivalent doctoral degree

OR

3 full years of progressively higher level graduate education leading to a Ph.D. or equivalent doctoral degree.

APPLICATION PROCEDURE: We are only accepting online applications for this position. To apply, please visit: USAJOBS

The Smithsonian Astrophysical Observatory is an equal opportunity employer committed to diversity in our workplace.

Visit our SAO website.

 
 

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