Computational Machine Learning Engineer presso Lockheed Martin

None

First

Direct

Enterprise Operations

50143:Artificial Intelligence

No

E9854:A/AI Mch Learn Engnr Stf

Artificial Intelligence

Experienced Professional

Full-Time

Are you a skilled AI/ML Machine Learning Engineer looking to take your career to the next level? Do you have a passion for designing and deploying innovative surrogate models, developing ML solutions for engineering applications, and building neural network architectures with integrated uncertainty quantification? We are seeking a highly experienced AI/ML Machine Learning Engineer to join our team and contribute to the development of cutting-edge machine learning solutions. With a strong background in machine learning, software engineering, and distributed computing, you will have the opportunity to work on complex engineering applications and make a significant impact on our organization.

What you'll be doing:

* Design and deploy surrogate models to approximate computationally intensive simulations and engineering processes
* Develop ML solutions for engineering applications including predictive maintenance, quality control, and system optimization
* Build neural network architectures with integrated uncertainty quantification for technical applications
* Implement Bayesian optimization, hyperparameter tuning, and multi-objective optimization strategies
* Construct production-grade ML pipelines for regression, classification, anomaly detection, and time series forecasting
* Apply probabilistic modeling and uncertainty quantification methods for engineering predictions and decision support

What’s In It For You:

From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here.
Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

Who are you:

You are a highly motivated and experienced AI/ML Machine Learning Engineer with a strong background in machine learning, software engineering, and distributed computing. Your skills include:
* Strong experience with machine learning frameworks and tools
* Proficiency in programming languages such as Python, C++, or Java
* Experience with production-grade ML pipelines and probabilistic modeling
* Strong understanding of neural network architectures and uncertainty quantification methods
* Excellent problem-solving skills and ability to work in a team environment
* Strong communication skills and ability to effectively collaborate with cross-functional teams

#LMLAIC

- Bachelors degree in comp sci, engineering, mathmatics, statistics, physics, or related field
-3-5+ years of professional experience in machine learning or data science roles
-strong proficiency in python
-demonstrated experience developing and deploying machines learning models in profressional settings
-strong foundation in statistical methods and model validation

Specialized knowledge in the following areas:
- Experience with surrogate modeling, reduced order modeling or metamodeling techniques (gaussian processes, polynomial chaos expansion, kirging, response surfaces)
- Familiarity with uncertainy quanitifaction (UQ) methods and sensitivity analysis
- background in computational sciene or numerical methods
- experience with multi-physics simulations
Advanced Technical Skills:
- Knowledge of Bayesian methods and probabilistic modeling
- Experience with high-performance computing or parallel computing environments
- Familiarty with tools liek SmartUQ, Dakota, or similar UQ platforms

Colorado, Connecticut, Florida, Texas

yes

Grand Prairie, Littleton, Orlando, Stratford

06615, 32825, 32826, 75051, 80127

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.

Grand Prairie-TX, Littleton-CO, Orlando-FL, Stratford-CT

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.

Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.

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.

4x10 hour day, 3 days off per week

Employee that will telework full-time

Pay Rate: The annual base salary range for this position in California 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.

Pay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $147,400 - $255,530. 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.