Senior Software Engineer (Machine Learning) Job at Raytheon Technologies Corporate Headquarters

Raytheon Technologies Corporate Headquarters Houston, TX 77064

Date Posted:

2023-05-03

Country:

United States of America

Location:

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

Position Role Type:

Remote

Raytheon Technologies Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises four industry-leading businesses – Collins Aerospace, Pratt & Whitney, Raytheon Intelligence & Space and Raytheon Missiles & Defense. Its 195,000 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, Raytheon Technologies 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 Corporate or Research Center Team:

Sr. Software Engineer (Machine Learning)

We are seeking a highly motivated Sr. Software Engineer (Machine Learning) to join the Raytheon Technologies’ Enterprise Data Services (EDX) AI/ML Products team. By working closely with data scientists, you will play an active role in helping to design and build ML tools and products applicable across the enterprise. Our ML Team builds tools used by data scientists that support vital segments of the company. Some projects include prediction of part failures on the industrial products we build (from jet engines to radar units to compressors used in space), projection of manufacturing demand, and assessment of population risk for airplane fleet management. This role requires solid experience in Python, and an ideal candidate will be well versed in scientific and mathematical libraries (SciPy, Numpy, Pandas, Scikit-learn) along with an understanding of learning algorithms and the SDLC.

This position will provide the unique opportunity to operate in a startup-like environment within a Fortune 50 company. Our position within Raytheon Technologies embraces a digital focus intended to unlock business value using best-in-class products and services. Together we aim to achieve new levels of productivity by changing the way we work and identifying new sources of growth for our customers.

Responsibilities:

  • Design, write and deploy well-crafted and well-tested Python in support of Machine Learning products and tools across the enterprise.
  • Collaborate with Data Scientists to build requirements for data science tool and optimization libraries.
  • Work closely with Data Scientists on algorithm development and deployment of Machine Learning models in production.
  • Monitor and maintain tools and models in production.
  • Collaborate with Product and Business stakeholders on requirements and priorities.
  • Work with QA and DevOps engineers to deploy high quality, well tested, resilient code.
  • Manage individual project priorities, deadlines, and deliverables.
  • Practice disciplined software engineering (e.g. automated testing, code reviews, and writing beautiful, pragmatic code).
  • Actively contribute to team and company standards.
  • Mentor junior and senior engineering team members.

Basic Qualifications:

  • 7+ years’ experience software development in an object-oriented language (C++, C#, Java, Rust, Python, etc.), with at least 3 years’ experience with Python.
  • A solid understanding of scientific python ecosystem (SciPy, Numpy, Pandas, Scikit-learn).
  • Experience in Agile, Git, application containerization, continuous integration/deployment.
  • Experience in Machine Learning operations.
  • Experience working with Data Science and machine learning models.
  • Excellent written and verbal communication skills along with the ability to well work in cross functional teams.
  • Motivated self-starter with a strong enthusiasm to learn.
  • Results-oriented with strong communication and customer focus.
  • A constant learner, actively interested in updating skill sets and knowledge, following trends and papers in the Machine Learning community.
  • U.S. Person (U.S. citizen, permanent resident, refugee or asylee) or eligible to obtain necessary export authorizations required.

Preferred Qualifications:

  • 10+ years’ experience software development in an object-oriented language (C++, C#, Java, Rust, Python, etc.), with at least 3 years’ experience in Python.
  • An understanding of learning algorithms and ML libraries like PyTorch and Tensorflow are a nice to have.
  • Possesses a flexible attitude and is willing to work with a range of technologies and languages with an open mind and without bias.

Location:

This role is Remote.

Education:

  • A University degree in a technical field such as Computer Science, Data Science, Engineering, Physics, Statistics is required.
  • An Advanced degree in a technical field such as Computer Science, Data Science, Engineering, Physics, Statistics is preferred.

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 unless prohibited by local laws/regulations.

The salary range for this role is 112,000 USD - 236,000 USD; however, Raytheon Technologies considers several factors when extending an offer, including but not limited to, the role 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.

Raytheon Technologies 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.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms




Please Note :
ajayjain.com is the go-to platform for job seekers looking for the best job postings from around the web. With a focus on quality, the platform guarantees that all job postings are from reliable sources and are up-to-date. It also offers a variety of tools to help users find the perfect job for them, such as searching by location and filtering by industry. Furthermore, ajayjain.com provides helpful resources like resume tips and career advice to give job seekers an edge in their search. With its commitment to quality and user-friendliness, Site.com is the ideal place to find your next job.