Machine Learning Engineer Internship

Key Skills

Python Programming, Regression Analysis, Deep Learning, Natural Language Processing (NLP), Reinforcement Learning, R Programming, Batch Data Processing, Anomaly detection

Job Description

COVID-19 continues to significantly impact our employees, families and communities. With employee health and safety as our top priority, and as a federal contractor, Lockheed Martin is taking action to address the increased risk and uncertainty COVID variants pose in the workplace and ensuring we meet our commitments to national security.

To uphold safety for all employees, we will continue to request vaccination status for all Lockheed Martin employees including new hires. All current and newly hired employees who are unvaccinated will be required to adhere to onsite safety protocols.

Description:The AimLabs Consulting Team is looking for a high energy individual with a background and interest in machine learning and data science to help grow its business and streamline AI processes. The selected candidate will apply machine learning techniques in support of missions through Lockheed Martin programs and business functions. This role will have a particular focus on supporting the development of machine learning products by working with stakeholders to understand their business needs, translate them into data problems, and then set the direction of projects to solve those data problems.

The AimLabs 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 AimLabs 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 analytical models that deliver useful, actionable recommendations, or which augment human capabilities in various work settings. The candidate is responsible for modeling complex business and problems, discovering insights and deploying AI capabilities using machine learning and associated feature techniques. Responsibilities also include tracking projects and driving work on them through to completion, as well as implementing best practices from the fields of machine learning and .

The candidate will need a combination of business focus, creative thinking, strong analytical and problem 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.

Basic Qualifications:
• Previous experience building machine learning models by way of work, projects, courses, etc.
• Previous experience in applying any of the following machine learning areas to business problems: supervised regression/classification, natural language processing, deep learning, anomaly detection, reinforcement learning.
• Previous experience evaluating model performance, including performance metric selection.
• Previous experience with feature engineering and data cleaning/pre-processing.
• 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.
• 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.
• Preferred languages: Python or R.

Other Important Information You Should KnowExpression 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.missing

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: Part-Time as assigned by leader

Clearance Level: None

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. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.

As a leading technology innovation company, Lockheed Martin’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.

Experience Level: Co-op/Summer Intern

Business Unit: ENTERPRISE BUSINESS SERVICES

Relocation Available: No

Career Area: Artificial Intelligence

Type: Part-Time

Shift: First