AI/ML Software Engineer (Remote)

Date Posted:

2024-08-28

Country:

United States of America

Location:

UTTX1: Corp Remote Office TX Remote Location , Houston, TX, 77064 USA

Position Role Type:

Remote

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 Corporate, Enterprise Services, Research Center or BBN team:

RTX has an opening for an AI/ML Software Engineer (Manager, Software Development).  Individual Contributor Role.  Remote Opportunity.

We are seeking an engineer to join RTX in the Enterprise Data Services organization, AI Software and Data Engineering team. You will play an active role in bringing cutting edge data capabilities to RTX.

TEAM:  Our team builds enablers, products, and services that practitioners across the enterprise use to solve a vast variety of aerospace challenges, including designing hardware for safer flight, predictable maintenance, and improving the reliability of systems that keep us safe.  RTX’s wide portfolio and diverse network ensure that you will work with some of the brightest minds of today on some of the most difficult challenges in the world.

What You Will Do:

• Work with product managers, technical leadership, subject matter experts, and business stakeholders to support the team as we bring advanced data capabilities to RTX.
• Design, write, test, deploy, protect, and monitor Python code in support of machine learning products, tools, and services across RTX.
• Write production quality code that is maintainable, scalable, organized, and readable.
• Bring advanced AI/ML capabilities to RTX through software and cloud engineering, including generative AI, MLOps, and ML-augmented engineering.
• Travel:  Possibly up to 5% between RTX sites.

Expectations:

• For the team to function, we must welcome, trust, be honest with, and support one another. We expect this of everyone, both leaders and contributors, no exceptions.
• Be the best version of yourself that you can be. Know that you are not alone and ask for help when you need it.
• Be self-driven. We must be accountable for ourselves and our time.
• Learn to learn and continue to learn.
• Listen & Learn: partner with business stakeholders to identify requirements and identify potential strategies.
• Build & Grow: implement solutions and strengthen our capabilities.

What You Will Learn:

• How you work best, how to reach your potential, and how you can overcome, persevere, and sustain.
• The software development life cycle, what beautiful code looks and feels like, the mindset of an experienced engineer, and the confidence to grow.
• Fundamental cloud knowledge and experience using native cloud (AWS/Azure) services, third party cloud products such as Databricks and Snowflake, and open-source enablers.
• Agile software development.

Qualifications You Must Have:

• Typically 8+ years’ experience in software development and a bachelor’s degree or equivalent combination of related work experience and schooling in lieu of degree; Advanced degree and 5+ years’ related work experience.
• 3+ years’ experience with writing production quality Python code and leveraging the Python scientific stack (numpy, scipy, scikit-learn, pandas).
• 2+ years’ experience with the Software Development Life Cycle and software application / product development.
• 1+ years’ experience with data science, machine learning, and/or data engineering.
• Current U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Qualifications We Prefer:

• Familiarity with cloud computing.
• A flexible and patient mindset, interested in working on a variety of multi-disciplinary challenges with varying stakeholders, partners, domains, and toolsets.
• Experience building products that use Large Language Models (LLMs) or LLM APIs.
• Experience with Front-End technologies (JavaScript/TypeScript, React, CSS).
• Experience with Git, Github, or similar version control system, Jira, Confluence, and agile development.
• 3+ years relevant experience with cloud computing platforms (AWS and/or Azure.)
• Other helpful experience: SQL, Node, REST APIs, testing libraries.

Educational Requirements:

Typically a bachelor’s degree in Computer Science, Technology, Engineering or Mathematics (STEM) or related discipline or equivalent combination of related work experience and schooling in lieu of degree.

#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 Raytheon Technologies, 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.

What We Offer

• Unique to our team
• A welcoming team that works together and supports one another.
• Flexible schedule (Core hours, 9/80, 4x10, or custom).
• A wide variety of technical opportunities in a cutting-edge landscape.
• RTX Benefits Highlights
• Obtain professional certificates and degrees through the RTX employee scholar program.
• Comprehensive benefits package, including medical, dental, vision, life, short term disability, and long term disability benefits.
• Paid time off including holidays, sick time, and parental leave.
• 401(k) with matching.
• Rotational programs.
• Reward and recognition programs.

The salary range for this role is 96,000 USD - 200,000 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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