AI/ML 2 Engineer With Poly
Role details
Job location
Tech stack
Job description
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, 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.
Requirements
must have exceptional analytical, problem-solving and communication skills., TS/SCI w/ Poly
Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
Desired Skills:
Technical Skills:
o Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
o Expertise in model training, evaluation, and deployment.
o Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3.
o Experience in developing full-stack software applications (JavaScript, Python, Java, etc.).
o Solid understanding of data structures, algorithms, and system design.
Experience & Background:
o Extensive experience in machine learning model development, including natural language processing (NLP).
o Experience with model evaluation, optimization, and performance monitoring.
o Proven experience in software engineering with strong coding skills.
o Experience working in a government or defense-related environment is highly preferred.
Benefits & conditions
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, Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
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: 9x80 every other Friday off
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 $128,200 - $225,975. 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.
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.
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.