AI/ML 1 Engineer With Poly

Job Description

THE WORK
The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills.

WHO WE ARE
At Lockheed Martin, we're a pioneering aerospace and defense company that's been at the forefront of innovation for decades. With a long-standing history of pushing boundaries, we're now shaping the future of cyber and intelligence. Our team is committed to innovating at the Edge, where we harness the latest advancements in Artificial Intelligence and Machine Learning, and cyber technologies to stay ahead of emerging threats and opportunities

WHO YOU ARE
At Lockheed Martin, you will work with our team of skilled AI/ML Engineers design, create, test, and productize AI/ML algorithms that learn, predict, and make informed Expert knowledge of multiple programming languages (i.e. Python, Java, C++ decisions, meeting the evolving needs of our customers. With strong familiarity with Hadoop, we develop and deploy scalable AI/ML models that integrate with data pipelines, infrastructure, and applications.

WHY JOIN US
Providing ongoing training, mentorship, and development opportunities to help our cyber and intelligence professionals stay at the forefront of their field and achieve their career goals.
Competitive and comprehensive benefits package.
Rewards and recognition for your hard work.
Medical and dental coverage.
401k retirement savings plan.
Paid time off for work/life balance.
And more

Basic Qualifications

TS/SCI w/poly

2 years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.

A B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required.

3 years of additional machine learning experience (total of 5) on projects with similar machine learning processes may be substituted for a bachelor's degree.

Desired skills

AI/ML Engineer, responsible for building, training, fine-tuning, and evaluating advanced language models. The ideal candidate will have hands-on experience with state-of-the-art machine learning techniques, specifically for natural language processing (NLP), and will also have a strong understanding of full-stack development. This person will work across the model development lifecycle and collaborate with cross-functional teams to deliver high-impact solutions.

Key Responsibilities:
Knowledge and experience of Language models is required
o Specific experience with Marian and multi-lingual model development
Knowledge of Computation Linguistics is a plus
Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning
Strong Java, C, C++ programming experience
Willingness to support occasional on-call duties is a plus
Model Development & Training:
o Build, train, and fine-tune machine learning models, particularly language models
o Apply best practices in model training, tuning, and optimization.
o Design and implement solutions for model performance improvement.
Evaluation & Testing:
o Conduct rigorous model evaluation, including performance analysis and benchmarking.
o Perform error analysis, debugging, and model diagnostics to ensure quality and reliability.
Model Deployment & Integration:
o Work with cloud-based AI platforms (especially AWS Sagemaker) to deploy and scale models.
o Integrate machine learning models into production environments, ensuring seamless integration with other systems.
Full-Stack Engineering:
o Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end).
o Collaborate with software engineers to build scalable and efficient deployment pipelines.
Collaboration & Reporting:
o Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions.
o Document workflows, model design processes, and technical specifications.

Technical Skills:
Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
Expertise in model training, evaluation, and deployment.
Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3.
Experience in developing full-stack software applications (JavaScript, Python, Java, etc.).
Solid understanding of data structures, algorithms, and system design.

Experience & Background:
Extensive experience in machine learning model development, including natural language processing (NLP).
Experience with model evaluation, optimization, and performance monitoring.
Proven experience in software engineering with strong coding skills.
Experience working in a government or defense-related environment is highly preferred.

Additional Skills:
Experience with model versioning and management using tools such as MLFlow or Git.
Familiarity with containerization tools (i.e. Kubernetes).
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.

Nice to Have:
Experience with secure data handling and compliance requirements
Experience working with Large Language Models (LLMs)

EEO

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.

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At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.

Other Important Information

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.

Work Schedule Information

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.

National Pay Statement

Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $86,100 - $151,800. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information 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 and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(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.
This position is incentive plan eligible.

Premium Pay Statement

Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $99,000 - $171,580. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information 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 and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
This position is incentive plan eligible.