Data Scientist Intern

12 Jan 2024

DescriptionThe Data Scientist Intern position will support various machine learning (ML) and artificial intelligence (AI) projects in the Leidos AI/ML Accelerator located in Arlington, VA. Candidates must be familiar with handling multiple types of data (text, image, video, audio, lidar, etc), primarily related to large language models (LLMs)/Generative AI and using transformers. The candidates must understand the theoretics of reinforcement learning, enabling continuous learning and task optimization. Ethical AI is part of all Leidos AI/ML projects. Consequently, we want candidates to know the concepts of Ethical AI and how to apply them.Along with those skills, the candidate must have demonstrated the ability to work independently and in technical teams to implement and customize algorithms to fuse multiple data modalities. In this position the candidate should have at least intermediate Python coder ability and hands-on experience using ML libraries like SciKit Learn, DKube, KubeFlow, Feast, Azure, TensorFlow, Keras, etc.Primary Responsibilities

Create AI/ML prototypes for use cases requiring identifying entity/objects, determining object association, object disambiguation, anomaly detection, state estimations, etc.

Develop and maintain data models (both physical and logical)

Perform extraction, transform, and load (ETL) tasks related to the different modalities and algorithms being applied. This data ETL includes identifying the data’s relevant metadata to ensure consistency, quality, accuracy, integrity, and information assurance and security.

Conduct anomaly detection using various AI/ML techniques

Properly configure general adversarial networks on there own and in conjunction with training such as Generative AI

Understanding of autoencoders and their prarmeters

Engineer prompts for LLMs and Generative AI

Use algorithms to identify complex patterns across multiple modalities

Increase the efficiency and quality data alignment and fusion

Design rewards for reward model training in reinforcement learning

Enhance and maintain analysis tools, including automation of current processes using AI/ML algorithms

Direct quantitative data analysis including developing retrieval, processing, fusion, analysis, and visualization of various datasets

Configure and program prototypes Jupyter notebooks with ML solutions

Setup and use AWS instances to train and operate AI/ML models

Basic Qualifications

Must be enrolled in a Bachelor's degree program at the Freshman or Sophomore level with previous ML/AI acedemic research and intern experience

Pursuing degree in Aerospace Engineering, Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering, or related fields

Must be able to obtain a Top Secret security clearance with poly- US Citizenship is required

General machine learning and artificial intelligence knowledge

Knowledge of Deep Learning Frameworks such as Keras, Tensorflow, PyTorch, Mxnet, etc. - Ability to apply these frameworks to real problems in the ‘time -series’ domain

Practical hands-on experience and the ability to explain statistical analysis, reinforcement learning, transfer learning, natural language processing, and computer vision

Intermediate software development skills lifecycle including developing and maintaining good production quality code

Hands-on Software Development Skills (Python-Preferred)

Experience or educational courses/projects in Machine Learning, and/or Text

Preferred Qualifications

Visualizations/Web Development Skills (e.g. Tableau, D3, etc).

Hands-on experience with prototype development

Hands-on experience with automating data cleansing, formatting, staging, and transforming data human

Hands-on experience applying data analytics

Hands-on experience with prompt engineering

Hands-on experience with reinforcement learning

Hands-on experience with LLMs and Generative AI

Hands-on experience with intelligent systems and machine learning

Experience with interpretability of deep learning models

Big Data Skills (Azure, Hadoop, Spark, recent deep learning platforms)

Experience with text mining tools and techniques including in areas of summarization, search (e.g. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection

Hands-on experience with DKube

Hands-on experience with KubeFlow

Hands-on experience with Feast

Pay Range:Pay Range $37,050.00 - $66,975.00The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.#RemoteOriginal Posting Date:01/11/2024While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.REQNUMBER: R-00126416-OTHLOC-PL-2D4661All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.

  • ID: #50858462
  • State: Virginia Remote 00000 Remote USA
  • City: Remote
  • Salary: USD TBD TBD
  • Showed: 2024-01-12
  • Deadline: 2024-03-13
  • Category: Et cetera