A/AI Machine Learning Engineering Sr - E3

Digitailor; New York (NY); On-site; USD 123,000 - 228,000; Full time

Benefits offered by this job

Medical, dental, vision

Flexible work arrangements (e.g., 4x10

401(k) match

Paid time off and holidays

Parental Leave

EAP

Education Assistance

Life Insurance

Short-Term Disability

Long-Term Disability

Job summary

Lockheed Martin is seeking a software engineer to develop, integrate, and deploy autonomy and AI algorithms for mission systems across the development lifecycle.

You will translate requirements, implement MLI components, and contribute to human-machine interfaces while collaborating with cross-functional teams in an agile environment.

Qualifications

• Education or equivalent experience in a technical field.
• Strong software engineering and AI/ML background.
• Experience deploying AI-powered production systems.
• Hands-on with LLMs and agentic tool-calling.
• Familiar with cloud, containers, and agile methods.

Responsibilities

• Develop, integrate, and deploy autonomy/AI algorithms for mission systems.
• Translate requirements into production code and systems.
• Implement interfaces and human-machine workflows.
• Review tests, troubleshoot, and debug issues.
• Collaborate with engineering teams and program leadership.

Skills

Strong communication skills

Agile development

AI/ML experience

Python programming

React and TypeScript

Team collaboration

GenAI tooling experience

Education

Bachelor’s degree in CS/DS/SE/CE/Math or equivalent

Tools

Python

React

TypeScript

Git

JIRA

Docker

Kubernetes

OpenShift

AWS EKS

Harbor

PostgreSQL

MySQL

SQL Server

Claude Code

GitHub Copilot

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 Basic Qualifications Bachelor’s degree in Computer Science, Data Science, Software Engineering, Computer Engineering, Mathematics, or a related technical field, or equivalent professional experience. Strong communication skills with the ability to work effectively with engineering teams and program leadership. Technical background in AI/ML, data science, software engineering, or a related discipline. Strong proficiency in Python, with production experience in React and TypeScript Demonstrated experience designing and delivering AI-powered production systems - including hands-on work with LLMs and/or Generative AI Experience with agentic workflows and production-level LLM tool-calling - building, deploying, and operating them Experienced in agile development methodologies and version control systems (e.g., Git, JIRA) Experience deploying applications on cloud-based platforms and with containerization (e.g., Harbor, Docker, Kubernetes, OpenShift, AWS EKS) Contributes to the development of new concepts and demonstrates working knowledge of industry and company practices in the field and related disciplines Desired Skills Experience contributing to a collaborative, high-performing team environment Ability to manage technical risks and dependencies and align execution with program objectives Experience taking technical work through planning, development, integration, testing, and delivery. Knowledge of Model Context Protocol (MCP) and agentic frameworks (e.g., AWS Strands Agents SDK, multi-agent orchestration patterns) Practical experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) Design and delivery experience in RESTful API development and integration Regular use of GenAI coding assistants (Claude Code, Cline, Windsurf, GitHub Copilot) Proficiency in additional languages (e.g., Java, C++, Go, Rust) Familiarity with ISO/IEC 15288 systems-engineering processes, requirements traceability (RVTM), and Architecture Decision Records (ADRs) Pay Information GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role. Full-time salary range (GEOZONE 1): $122600.00 - $227600.00 Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc. Full-time salary range (GEOZONE 2): $110300.00 - $204900.00 Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc. Full-time salary range (GEOZONE 3): $98100.00 - $182100.00 Includes metropolitan areas such as Dallas-Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc. Full-time salary range (GEOZONE 4): $88300.00 - $163900.00 Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc. 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.