Machine Learning Engineer

Key Skills

Python Programming, SQL, Cloud computing

Job Description

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 Systems, 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 Waltham, Massachusetts.

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.

Role Overview

We are seeking a highly motivated Machine Learning Engineer to join the Raytheon Technologies’ Digital Accelerator. 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.

Job Responsibilities

• Design, write and deploy well-crafted and well-tested Python in support of Machine Learning products and tools across company
• Collaborate with Data Scientists to build requirements for data science tool and optimization libraries
• Collaborate with Product and Business Stakeholders on requirements and priorities.
• Work closely with Data Scientists on algorithm development and deployment of Machine Learning models in production
• Work with QA and DevOps engineers to monitor and maintain tool and models in production
• Practice disciplined software engineering (e.g. automated testing, code reviews, and writing beautiful, pragmatic code)

Qualifications

• 3+ years hands-on Python development experience or 1+ years with Advanced Degree (STEM field)
• Must have solid understanding of the scientific python ecosystem (scipy, numpy, pandas, scikit-learn)
• Must have solid experience in Agile, Git, application containerization
• Should have good communication skills and ability to work in cross functional teams
• Should possess a flexible attitude and is willing to work with a range of technologies and languages with an open mind and without bias.
• Should be a constant learner, actively interested in updating skill sets and knowledge
• Preferably have some experience working with Data Science and machine learning models
• Preferably have knowledge of MLOps, learning algorithms, ML libraries like PyTorch and Tensorflow

Location: Remote

Work Authorization: US Citizen or Green Card Holder Required