AI Assurance Research Engineer

Date Posted:

2024-12-17

Country:

United States of America

Location:

UT13: RC-CT - Corp 411 Silver Lane, East Hartford, CT, 06108 USA

Position Role Type:

Hybrid

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA. 

   

To realize our full potential, RTX is committed to creating a company where all employees are respected, valued and supported in the pursuit of their goals. We know companies that embrace diversity in all its forms not only deliver stronger business results, but also become a force for good, fueling stronger business performance and greater opportunity for employees, partners, investors and communities to succeed.  

The following position is to join our RTX Research Center team: 

Job Description

The AI Systems Engineering team researches and develops solutions using model-based systems engineering, formal methods, planning, decision making, controls, machine learning, anomaly detection, computer vision, and failure analysis techniques for a variety of high impact real world problems in the aerospace, manufacturing, and defense industries.

We are looking for an AI Systems Engineer to help develop, deploy, monitor, and maintain ML/AI-based platforms and tools relevant to safety-critical AI-enabled systems.

You will get to develop state-of-art AI Systems tools and apply them to real world datasets at scale. Interact and learn from leading researchers on a variety of topics working at RTRC. Support for publishing results in top conferences. You will work with a small and focused team on implementing AI-based systems engineering tools for deployment of AI in safety-critical AI-enabled systems. You will get to work on challenging problems within the broad areas of AI/ML applications in aerospace and defense.

What You Will Do:

The AI Systems Engineer will be responsible for one or more of the following activities:

• Leverage your strong software engineering expertise and experience to develop robust solutions for real-world problems

• Algorithm development, software implementation, performance profiling and optimization for various kinds of AI/ML workloads

• AI Platform Development: Assist in design and development of AI/machine learning-based platforms for various safety-critical technical problems

• AI/ML Model Deployment: Assist in deploying AI/machine learning models into production environments

• AI/ML pipeline and model monitoring: Contribute to code development and tool rollout for monitoring and maintenance of model performance and infrastructure health

• Automation: Participate in the development and maintenance of automated AI systems pipelines

• Collaboration: Under guidance from project leads, collaborate with the domain experts to integrate machine learning models into production systems

• Problem Solving: Assist in troubleshooting and resolving AI platform-related issues

• Research and stay updated on the latest trends and technologies in DevOps, MLOps, and AIOps

Qualifications You Must Have:

• Typically requires: A University Degree or equivalent experience and minimum 10 years prior relevant experience, or An Advanced Degree in a related field and minimum 7 years experience Engineering/Other Technical Positions: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience

• Proficient in one or more programming languages, such as Python, Java, C++

• Proficient in working with AI frameworks and tools, such as TensorFlow, PyTorch, Scikit-learn

• Experience developing, training, and debugging ML pipelines for computer vision, natural language processing (NLP)

• Experience in working with cloud platforms, especially AWS and Azure

• Experience in working with CI/CD frameworks such as GitLab, Jenkins

• Experience in working with container and workload management frameworks such as Docker, Kubernetes, Airflow

• Experience in infrastructure as code technologies such as CloudFormation, Terraform, and Open Tofu

Qualifications We Prefer:

• Deep expertise across a variety of DevOps, MLOPs, and AIOps tools and technologies

• Demonstrated experience in prototyping and shipping AI-based tools

• Experience in working with big data technologies, such as Hadoop, Spark, Kafka

• Experience in working with platforms such as DataBricks, Amazon Sagemaker, W&B (Weights and Biases), Kubeflow, SnorkelFlow, Labelbox, DVC, Doit, GreatExpectations

• Experience in working with DevOps tools such as Puppet, Ansible, Packer, Vagrant

• Experience with security-focused programming languages such as Rust, WebAssembly

• Experience developing, training, debugging, and maintaining ML pipelines for Large Language Models (LLMs), foundational models, time-series forecasting, anomaly detection

• Experience working with DOD and other govt. agencies

• Experience in open-source software development

• U.S. Person (U.S. citizen, permanent resident, refugee or asylee) or eligible to obtain necessary export authorizations required.

What We Offer

Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

Learn More & Apply Now!

RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Work Location

This is a hybrid role, eligible candidates must reside within commuting distance from East Hartford, CT.
Relocation Eligible: Yes
 

Please consider the following role type definition as you apply for this role:
Hybrid: Employees who are working in hybrid roles will work regularly both onsite and offsite.  Ratio of time working onsite will be determined in partnership with your leader.

#reempowerprogram
This role is also eligible for the Re-Empower Program. The Re-Empower Program helps support talented and committed professionals as they rebuild their capabilities, enhance leadership skills, and continue their professional journey. Over the course of the 14-week program, experienced professionals will gain paid, on-the-job experience, have an opportunity to participate in sessions with leadership, develop personalized plans for success and receive coaching to guide their return-to-work experience. Upon completion of the program, based on performance and contributions participants will be eligible for a career at RTX.

Minimum Program Qualifications:

To qualify for the RTX, Re-Empower Program, candidates should:

• Be on a career break of one or more year at time of application

• Have prior experience in functional area of interest

• Have interest in returning in either a full-time or part-time position

The salary range for this role is 118,000 USD - 246,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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