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채용Lockheed Martin

Robotics and Machine Learning Engineering Intern Stratford, Connecticut

Lockheed Martin

Robotics and Machine Learning Engineering Intern Stratford, Connecticut

Lockheed Martin

stratford

·

On-site

·

Internship

·

2mo ago

필수 스킬

Python

Deep Learning

Machine Learning

Convolutional Neural Networks

Recurrent Neural Networks

Transformers

Reinforcement Learning

PyTorch

Description: By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we 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 development 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. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility. Your Mission is Ours.

The Flight Controls and Autonomy team is currently seeking highly motivated technology pioneers with a desire to steer and lead the Autonomy industry. Successful candidates must be willing and able to work on highly complex challenging problems, leading to world-changing technological breakthroughs.

Sikorsky autonomy team is at the forefront of developing cutting-edge autonomous software for small Uninhabited Aerial Systems (UAS) and full-scale air vehicles. As a leading innovator in the aviation industry, we are seeking motivated summer interns to contribute to the advancement of autonomous technologies.

Design and implement advanced deep learning architectures by seamlessly integrating Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers for tasks such as classification, object detection, depth estimation, and semantic segmentation to enhance perception and decision-making capability of aerial vehicles.

· Explore and implement cutting-edge techniques in Reinforcement Learning (RL) and Imitation Learning (IL) for aerial robotics, contributing to the autonomous navigation and decision-making of our systems.

Basic Qualifications:

· Enrolled in undergraduate or graduate program in computer science, engineering, robotics, or artificial intelligence and machine learning.

· Coursework on deep learning, machine learning and robotics.

· Hands-on experience with deep learning architectures for vision processing and Reinforcement Learning (RL). This includes Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers applied to aerial robotics for autonomous navigation, perception, and decision making.

· Proficient in Python and experienced in neural network programming frameworks such as Pytorch.

Desired Skills:

· Experience with classical motion planning and computer vision algorithms.

· Familiarity with C/C++ programming language.

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: 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: 4x10 hour day, 3 days off per week
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.

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: Co-op/Summer Intern

Business Unit: RMS

Relocation Available: Possible

Career Area: Software Engineering

Type: Call-In

Shift: First

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Lockheed Martin 소개

Lockheed Martin

Your mission is ours.

10,001+

직원 수

North Bethesda

본사 위치

$110B

기업 가치

리뷰

3.7

10개 리뷰

워라밸

3.8

보상

4.1

문화

3.9

커리어

2.8

경영진

3.2

68%

친구에게 추천

장점

Good pay/salary

Excellent benefits

Good work-life balance/flexible hours

단점

Bureaucratic processes

Limited promotion opportunities

High pressure/stress

연봉 정보

3,224개 데이터

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist E1

0개 리포트

$83,068

총 연봉

기본급

-

주식

-

보너스

-

$70,608

$95,528

면접 경험

9개 면접

난이도

2.8

/ 5

소요 기간

14-28주

경험

긍정 11%

보통 78%

부정 11%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Security Interview

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Security Clearance

Coding/Algorithm