AI/ML Engineer Sr
Lockheed Martin •
Position Type: Permanent
Job Description:
Description:When it comes to using cutting-edge machine learning to tackle complex problems, Lockheed Martin is driven by a singular mission focus and desire to continuously innovate! Today’s challenges to global security aren’t just changing – they’re accelerating faster than ever before. Through our dedication to our mission, our AI-enabled systems are changing the way militaries operate and protect their forces, the way first responders fight fires, and how researchers explore the far reaches of space and the ocean’s depths.
The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy technical leader with hands-on experience in software engineering and AI/ML to lead and grow the AI Consulting portfolio for the business. In this role you will be part of the AI Foundations team consisting of colleagues possessing varying skill sets including AI/Machine Learning specialists, front-end and back-end developers, data engineers, product managers, and other data scientists. The selected candidate will focus on the AI Consulting team but will be included as part of a broader range of projects across the LAIC portfolio. The team is focused on exploiting small, innovative, and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed Martin enterprise.
You will collaborate with business stakeholders to identify business opportunities and requirements to develop associated AI/ML models that deliver useful, actionable recommendations, or which augment human capabilities in various work settings. The candidate is responsible for modeling complex business and engineering problems, discovering insights and deploying AI capabilities using machine learning and associated feature engineering techniques. Responsibilities also include tracking projects and driving work on them through to completion, as well as implementing technical best practices from the fields of machine learning and software engineering.
You will need a combination of business focus, creative thinking, strong analytical and problem solving skills, and programming knowledge to be able to quickly cycle hypotheses through the discovery phase of the project. Excellent communications skills to understand the needs of the business, and to communicate the value of the models built back to the business.
Domestic travel will be required (typically less than 10)
MUST BE A US CITIZEN.
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.
Our Commitment to Diversity and Inclusion
We Hear You, We See You. At LM Enterprise Operations we invest in people and promoting the sharing of ideas to create incredible solutions. We know that our success depends on the combined efforts of diverse-thinkers like you! At LM Enterprise Operations, we cultivate an inclusive environment that appreciates differences and unique thinking.
Our global commitment to diversity and inclusion reflects our values of doing whats right, respecting others and performing with excellence. Learn more here: Global DEI.
Basic Qualifications:
•Previous experience in applying any of the following machine learning areas to business problems: natural language processing, deep learning, anomaly detection, reinforcement learning, and generative AI.
•Experience with developing software and software engineering best practices.
•Demonstrated creativity and innovation in identifying valuable ways of incorporating machine learning into business workflows and processes.
•Experience in running data product projects from start to finish and interacting with end user customers and stakeholders
•The ability to stay updated on new technologies in the rapidly evolving field of AI.
•Must have strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills.
Desired Skills:
• Hands-on experience building with generative AI models and developing full-stack applications leveraging LLMs and/or multi-modal models
• Expertise in natural language processing (i.e. text classification, topic modeling, working with embedding models, language modeling, question answering, NER, etc.).
• Expertise applying deep learning (i.e. CNNs, RNNS, LSTMs, and reinforcement learning to image, video and/or text data).
• Experience with integration of data products into customer applications.
• Experience with or knowledge of data engineering (preferably AWS or Azure).
• Experience with or expertise in manufacturing and/or engineering processes.
• Experience with UI/UX and/or human-machine interaction and data visualization best practices.
Clearance Level: None
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: 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.
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 week
Pay Rate:
The annual base salary range for this position in most major metropolitan areas in California and New York is $116,000 - $218,500. 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 spanet 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.
Pay Rate:
The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Maryland, Washington or Washington DC is $100,900 - $193,300. 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, candidates work experience, education/ training, key skills as well as spanet 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/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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 worlds 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.
Experience Level: Experienced Professional
Business Unit: ENTERPRISE BUSINESS SERVICES
Relocation Available: No
Career Area: Artificial Intelligence
Type: Full-Time
Shift: First
• Hands-on experience building with generative AI models and developing full-stack applications leveraging LLMs and/or multi-modal models
• Expertise in natural language processing (i.e. text classification, topic modeling, working with embedding models, language modeling, question answering, NER, etc.).
• Expertise applying deep learning (i.e. CNNs, RNNS, LSTMs, and reinforcement learning to image, video and/or text data).
• Experience with integration of data products into customer applications.
• Experience with or knowledge of data engineering (preferably AWS or Azure).
• Experience with or expertise in manufacturing and/or engineering processes.
• Experience with UI/UX and/or human-machine interaction and data visualization best practices.
Job Ident #:
72535874288
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