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Working at Lockheed Martin

AI / Machine Learning Engineer (Virtual - Mid-Career)

Bethesda, Maryland; Fort Worth, Texas; King of Prussia, Pennsylvania; Littleton, Colorado; Orlando, Florida; Shelton, Connecticut

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About

At Lockheed Martin, we apply our passion for purposeful innovation to keep people safe and solve the world's most complex challenges.

Mission-Focused Innovation: From aerospace to outer space to cyber space, you can solve the world's most complex challenges for our customers.

Foundational Values: Our culture of performance excellence, ethics, teamwork and inclusion is embedded in everything we do.

Diverse Career Opportunities with Meaningful Work: Grow your career and skills for life. Our technology-driven learning platforms and programs enable your development and agility.

Your Health, Your Wealth, Your Life: Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work.

Empowered to Be Your Best: Use your strengths to make a difference in the lives of one another, our customers, our communities and our planet.

Commitment to Sustainability: We foster innovation, integrity and security to preserve the environment, strengthen diverse communities and propel growth.

Here, the possibilities are endless because we offer:

  • Flexible Schedules, dependent on role
  • Levels: Student, Entry, Mid, Senior, Management
  • Locations: Nationwide & OCONUS Positions

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Qualifications

See what it takes to be a successful Lockheed Martin employee.

  • Collaborative

    There is no innovation without imagination. You bring new, different and exciting ideas to the table every day. You are committed to the success of your team.

  • Curious

    The ability to explore and drive new ideas. You think innovatively to come up with creative solutions to complex challenges.

  • Goal-oriented

    From planning and organizing to decision making, goal orientation produces impactful results. You set goals and strive to make things happen quickly and efficiently.

  • Proactive

    The ability to anticipate, plan and prepare for what lies ahead. You act rather than react to potential situations.

  • Problem Solver

    You work to tackle tough problems with complex solutions.

  • Strategic

    You observe, reflect and analyze processes to make more informed decisions.

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Quote

“Before I came to Lockheed Martin, I never thought I’d get these opportunities. The benefits available and the company’s value culture make it an incredibly supportive place to work, and I’m grateful to work somewhere that wants me to succeed. I hope to have a long career here making an impact, and I know I’ll be supported in doing that every step of the way.”

Ryan J., Enterprise Operations

Benefits

  • Healthcare

    Medical, Dental and Vision coverage is available for employees who opt-in.

  • 401(k)/Retirement Plans

    Our 401(k) plan features generous matching and company contributions.

  • Professional Development

    We support our employees through mentoring, internal & external educational programs, networking, skills enhancement and career-building programs.

  • Maternity and Paternity Leave

    Our generous parental leave policies support your journey into parenthood. When you return to work, our facilities offer mother's rooms to support your transition and work/life balance.

  • Paid Time Off

    We offer PTO, paid holidays and paid time off for jury duty and military obligations.

  • Flex-time

    Depending on the position, we offer flexible work schedules.

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Job Responsibilities

AI / Machine Learning Engineer (Virtual - Mid-Career)

Bethesda, Maryland; Fort Worth, Texas; King of Prussia, Pennsylvania; Littleton, Colorado; Orlando, Florida; Shelton, Connecticut

Job ID: 572256BR Date posted: Oct. 11, 2021 Locations: Bethesda, Maryland; Fort Worth, Texas; King of Prussia, Pennsylvania; Littleton, Colorado; Orlando, Florida; Shelton, ConnecticutProgram: CETO COVID-19 continues to significantly impact our employees, families and communities. With employee health and safety as our top priority, and as a federal contractor, Lockheed Martin is taking action to address the increased risk and uncertainty COVID variants pose in the workplace and ensuring we meet our commitments to national security.

As directed by Executive Order 14042: Ensuring Adequate COVID Safety Protocols for Federal Contractors, all current and newly hired employees, in the United States, are required to be fully vaccinated by January 18, 2022.
Description:The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking an inquisitive developer responsible for investigating and implementing services that enhance MLOps deployment as a part of the AI Factory, an enterprise Machine Learning and Artificial Intelligence (ML/AI) platform. The selected candidate will focus on model test, optimization, monitoring, and explainability. The selected candidate will also contribute to a broad range of projects across the enterprise to increase machine learning availability and value to Lockheed Martin.

The selected candidate’s responsibilities will include:
• Identifying existing model test and deployment pain points
• Researching, understanding, and evaluating third-party or in-house technology solutions
• Developing relationships with third-party technology providers
• Leading evaluation initiatives - including defining the vision, objectives, and deliverables
• Implement and evaluate model test and monitoring software solutions
• Collaborating with MLOps, data, and infrastructure teams
• Presenting evaluation outcomes and recommend enterprise-wide solution next steps

The selected candidate can work at any major Lockheed Martin facility or remotely (in the US).

Must be a US Citizen.



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Basic Qualifications:
• Bachelor's Degree in engineering, computer science, or a related discipline from an accredited college – or equivalent experience, with 9 years of professional experience; or 7 years of professional experience with a related Master's degree
• Experience with machine learning testing practices and model monitoring
• Experience with Programming and Scripting, such as C++, Java, Python, Go, Bash
• Familiarity with or research in model explainability, optimization, adversarial testing, or AI ethics
• Strong oral and written communication skills, and ability to collaborate with cross-functional partners
• Creative and resourceful when it comes to problem-solving
• A passionate can-do attitude. You are not afraid to try, learn, and improve
• Ability to work with internal stakeholders to collect feedback, prioritize tasks, and manage the engineering backlog
• Self-motivated, self-directed, and the ability to thrive in a fast-paced environment in an industry that constantly changes
• Must be a US Citizen
Desired Skills:
Primary:
• Experience with optimization, assessing model performance
• Experience with model explainability
• Familiarity with model adversarial testing techniques
• Experience with verification & validation of software
• Interest in and experience researching ethical implementations of machine learning
• Experience with data validation, ML training tests, model staleness tests, model performance tests, TPMs, integration tests, and unit tests

Secondary:
• Familiarity with Kubernetes, including distributions (Openshift, Rancher, GKE)
• Familiarity with Containers, including Open Container Initiative (OCI) and Docker
• Experience with Pipeline Automation, such as ArgoCD, Tekton, Gitlab CI/CD, Jenkins
• Experience with Collaboration Tools, such as Slack, Confluence, Gitlab
• Knowledge of DevSecOps and Cloud Native software development practices
• Knowledge of common machine learning frameworks, such as Tensorflow, Torch, Sci-kit
• Familiarity with public cloud computing services, such as AWS, GCP, Azure
• Familiarity with Package Management, such as Helm, Kustomize
• Familiarity with Monitoring and Performance, such as Prometheus, Grafana, Dynatrace, Sysdig
• Knowledge of Machine Learning Architectures, including GPU Computing, High Performance Computing (HPC)
• Knowledge of ML/AI Orchestration, such as Kubeflow, OpenDataHub.io, or Domino
• Knowledge of Data Orchestration, such as Airflow, Prefect, Luigi Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.Schedule for this Position: 4x10 hour day, 3 days off per weekClearance Level: None Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Join us at , where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.

As a leading technology innovation company, ’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.
Experience Level: Experienced ProfessionalBusiness Unit: ENTERPRISE BUSINESS SERVICESRelocation Available: PossibleCareer Area: Artificial Intelligence Type: Full-Time Shift: First
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