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 engineer with hands-on experience in developing AI/ML software in support of the AI Consulting team. In this role you will be part of the larger AI Foundations organization 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 AI Consulting team is focused on employing small, innovative, and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed Martin enterprise.
The LAIC AI Consulting Team’s mission includes serving as a center of excellence for AI at Lockheed Martin. The candidate will work to disseminate best practices of the AI Consulting team to other AI and data science teams in the corporation. The candidate will be required to create knowledge materials to publish these best practices, as well as meet with other data science leaders in Lockheed Martin to teach and discuss these practices.
The responsibilities of this position include collaboration with business stakeholders to identify business opportunities and requirements to develop associated statistical 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 best technical practices from the fields of machine learning and software engineering.
The candidate 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 may be required for team meetings and per business needs (approx. 10).
What’s In It For You:
From onsite to remote, we offer flexible work schedules and a comprehensive benefits package that invests in your future and security. Learn more about
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, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $89,300 - $157,435. 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 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 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
• Experience with natural language processing techniques
• Experience in applying deep learning, especially CNNs, RNNS, LSTMs, and reinforcement learning
• Experience with integration of data products into customer applications.
• Experience with or knowledge of data engineering.
• Experience with or knowledge of AWS.
• Experience in manufacturing and/or engineering processes.
• Story-telling and data visualization.
• Experience with UI/UX and/or human-machine interaction.
• Experience with SQL