Artificial Intelligence and Machine Learning Engineer

General Dynamics

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Springfield, VA
Salary
$161,500–$218,500 / yr
Posted
70 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $200k
This role $190k
$137k most similar roles pay here $275k

This role pays less than 60% of similar roles. Most pay $162,000–$237,250 — the shaded band above. At the midpoint, this role pays about $190k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 1123 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 984 roles with salary data.

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At a glance

TL;DR · Artificial Intelligence and Machine Learning Engineer

Artificial Intelligence and Machine Learning (AI/ML) Engineer Senior will join the data science and engineering team to develop, train, and optimize machine learning models for various applications. This role involves using statistical techniques to provide insights from internal or external customer data to improve user experience and guide decision-making. The engineer will build machine learning algorithms, perform data cleaning and preprocessing, and integrate models into production systems while exploring new tools to enhance performance. Key technical requirements include proficiency in Python or other programming languages, knowledge of big data platform tools, and expertise in model selection, cross-validation, and deployment. The position addresses complex challenges in enterprise IT by providing solutions for digital modernization. Core competencies include system architecture design, modeling, simulation, and the ability to solve problems related to rapidly changing technology within a collaborative team environment.

What you'll do

  • Build, train, and optimize machine learning models for various applications.
  • Clean, preprocess, and transform large datasets into formats suitable for machine learning.
  • Evaluate the performance of machine learning models using applicable metrics and techniques.
  • Integrate machine learning models into production systems in collaboration with senior engineers.
  • Experiment with new algorithms, tools, and techniques to improve model performance and solution quality.
  • Design and define system architecture for both new and existing computer systems.
  • Perform systems modeling, simulation, and analysis throughout the systems life cycle.
  • Maintain infrastructure by installing, configuring, testing, and maintaining operating systems and management tools.

What we're looking for

  • Must possess a Bachelor of Arts or Bachelor of Science degree.
  • Must have 5 or more years of related experience.
  • Must be a United States citizen.
  • Must be able to obtain a Top Secret SCI with Polygraph clearance.
  • Must possess skills in algorithms, artificial intelligence, and machine learning.
  • Must have knowledge of Python or other programming languages.
  • Must have knowledge of statistical techniques and big data platform tools.
  • Security clearance level: Must be able to obtain TS/SCI w/Poly.

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