A/AI Machine Learning Engineering Sr - E3

Lockheed Martin Corporation; Springfield (VA); On-site; USD 110,000 - 205,000; Full time

Job summary

Lockheed Martin Corporation in the United States is seeking an engineer to develop, integrate, and deploy autonomy and AI algorithms for mission systems, spanning requirements generation through testing and research in select programs.

You will implement perception, planning, and controls algorithms, translate requirements into code, review test results, and collaborate across teams in a fast-paced defense environment.

Qualifications

• Proficiency in Python, Java, C++, or C#.
• Experience with PyTorch or TensorFlow.
• Experience with Agile methodologies (Scrum, Kanban).
• Experience with Elasticsearch or OpenSearch.
• Active TS/SCI security clearance to start with ability to obtain poly.
• Excellent written and verbal communication skills.
• Ability to work in a collaborative, team-based environment.

Responsibilities

• Develop and deploy autonomy and AI algorithms for mission systems.
• Support the lifecycle from requirements through development, integration, and testing.
• Translate requirements to development code for LM products and platforms.
• Review test outcomes and troubleshoot issues.
• Develop human-machine interface scenarios and decompose missions into tasks.

Skills

Python

Java

C++/C#

C++

PyTorch

TensorFlow

Agile methodologies

Elasticsearch/OpenSearch

TS/SCI clearance

Communication

Team collaboration

Machine learning in mission software

Education

Advanced degree in a STEM discipline

Tools

PyTorch

TensorFlow

Job description

Standard Job Description

Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces

Standard Job Description

Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces

Basic Qualifications

• Proficiency in one or more of the following programming languages: Python, Java, C++, or C#
• Proficiency with one or more of the following: PyTorch or Tensorflow
• Experience with Agile methodologies (e.g., Scrum, Kanban)
• Experience with one or more search/analytics platforms and query languages of those platforms (e.g., Elasticsearch, OpenSearch)
• Active TS/SCI Security Clearance is required to start with the ability to obtain and maintain a TS/SCI with poly
• Excellent written and verbal communication skills
• Ability to work in a collaborative and team-based environment

Desired Skills

• Experience with building, training, and integrating machine-learning models into mission-critical software.
• Experience with version-control and DevSecOps principles and practices
• Advanced degree in a STEM discipline
• Experience with AWS or another cloud computing platform
• Experience with container orchestration platforms (e.g., Kubernetes, OpenShift)

#LMSpaceAI #onelmdmv

Pay Information

Full-Time Salary Range: $110300.00 - $204900.00

At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow - both professionally and personally.

The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.

Benefits offered:

Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.

• Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
• For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.