Disney Entertainment and ESPN Product & Technology
Santa Monica, California
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies. Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning applications as well, including development of classical ML models to optimize advertisement marketplace operations. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications. WHAT YOU'LL DO Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications. Create, evaluate, improve, optimize technologies Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. Design, build, and scale robust ML systems that power core ad platform capabilities Champion engineering excellence through best practices in code quality, system design, and operational reliability. Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. WHAT TO BRING Bachelor's in computer science or equivalent experience. Prior experience rigorously developing, researching, and/or productionizing any of the following generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows. Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes. Must include an appreciation for the importance of rigorous quality evaluation processes. Experience developing language-processing applications via LLMs or agentic flows. Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc. Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. Strong knowledge of AI/ML technologies, mathematics and statistics. Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc. Expert knowledge with traditional (tabular) ML modeling and methods. Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. Experience working closely with UX and front end designers building production generative AI products. NICE-TO-HAVES MS or PhD (preferred) in computer science or equivalent experience. Experience with multimodal models and embedding techniques. Computer vision or visual content understanding experience. Experience in digital video advertising or digital marketing domain. Location: Seattle / Santa Monica / Glendale The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies. Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning applications as well, including development of classical ML models to optimize advertisement marketplace operations. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications. WHAT YOU'LL DO Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications. Create, evaluate, improve, optimize technologies Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. Design, build, and scale robust ML systems that power core ad platform capabilities Champion engineering excellence through best practices in code quality, system design, and operational reliability. Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. WHAT TO BRING Bachelor's in computer science or equivalent experience. Prior experience rigorously developing, researching, and/or productionizing any of the following generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows. Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes. Must include an appreciation for the importance of rigorous quality evaluation processes. Experience developing language-processing applications via LLMs or agentic flows. Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc. Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. Strong knowledge of AI/ML technologies, mathematics and statistics. Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc. Expert knowledge with traditional (tabular) ML modeling and methods. Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. Experience working closely with UX and front end designers building production generative AI products. NICE-TO-HAVES MS or PhD (preferred) in computer science or equivalent experience. Experience with multimodal models and embedding techniques. Computer vision or visual content understanding experience. Experience in digital video advertising or digital marketing domain. Location: Seattle / Santa Monica / Glendale The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Disney Entertainment and ESPN Product & Technology
Seattle, Washington
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies. Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning applications as well, including development of classical ML models to optimize advertisement marketplace operations. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications. WHAT YOU'LL DO Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications. Create, evaluate, improve, optimize technologies Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. Design, build, and scale robust ML systems that power core ad platform capabilities Champion engineering excellence through best practices in code quality, system design, and operational reliability. Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. WHAT TO BRING Bachelor's in computer science or equivalent experience. Prior experience rigorously developing, researching, and/or productionizing any of the following generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows. Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes. Must include an appreciation for the importance of rigorous quality evaluation processes. Experience developing language-processing applications via LLMs or agentic flows. Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc. Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. Strong knowledge of AI/ML technologies, mathematics and statistics. Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc. Expert knowledge with traditional (tabular) ML modeling and methods. Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. Experience working closely with UX and front end designers building production generative AI products. NICE-TO-HAVES MS or PhD (preferred) in computer science or equivalent experience. Experience with multimodal models and embedding techniques. Computer vision or visual content understanding experience. Experience in digital video advertising or digital marketing domain. Location: Seattle / Santa Monica / Glendale The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies. Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning applications as well, including development of classical ML models to optimize advertisement marketplace operations. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications. WHAT YOU'LL DO Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications. Create, evaluate, improve, optimize technologies Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. Design, build, and scale robust ML systems that power core ad platform capabilities Champion engineering excellence through best practices in code quality, system design, and operational reliability. Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. WHAT TO BRING Bachelor's in computer science or equivalent experience. Prior experience rigorously developing, researching, and/or productionizing any of the following generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows. Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes. Must include an appreciation for the importance of rigorous quality evaluation processes. Experience developing language-processing applications via LLMs or agentic flows. Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc. Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. Strong knowledge of AI/ML technologies, mathematics and statistics. Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc. Expert knowledge with traditional (tabular) ML modeling and methods. Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. Experience working closely with UX and front end designers building production generative AI products. NICE-TO-HAVES MS or PhD (preferred) in computer science or equivalent experience. Experience with multimodal models and embedding techniques. Computer vision or visual content understanding experience. Experience in digital video advertising or digital marketing domain. Location: Seattle / Santa Monica / Glendale The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Raytheon
Tewksbury, Massachusetts
Date Posted: 2026-07-27 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord Position Role Type: Hybrid U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Security Clearance Type: None/Not Required Security Clearance Status: Not Required At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Raytheon Engineering Execution is seeking a highly motivated Engineering Metrics and Tools Lead to modernize, maintain, and enhance the digital tools, dashboards, and data systems that enable effective learning across Raytheon Engineering. This role blends engineering, analytics, full stack software development, and digital solution leadership. The ideal candidate will have strong experience developing scalable backend services, API-driven applications, Angular front-end tools, and robust enterprise integrations, while also supporting data-driven learning dashboards, Excel-based tools, and workflow automations. This position requires the ability to collaborate closely with Engineering Learning & Development partners, engineering teams, and platform services groups to deliver secure, reliable, and high impact solutions. This is a hybrid role based in Tewksbury, MA, Dallas, TX, or Tucson, AZ. What You Will Do Develop and maintain Engineering Learning & Development tools used across Raytheon Engineering including: Engineering Learning Matrix (ELM) - Excel-based mapping of roles to required courses. Role-Based Training (RBT) tool - Integrating Workday data with learning requirements and completion metrics. Knowledge Transfer and Apprentice (KTA) tool - Program designed to upskill employees in critical technical and discipline skill areas. Develop and maintain learning dashboards and analytics used across Engineering. Build and support backend services with Python/Flask/Marshmallow. Develop Angular front-end applications for L&D workflows. Design, document, and manage RESTful APIs and integrations. Integrate services with Apigee/APIM and SharePoint. Design and optimize SQL/MariaDB schemas, queries, and migrations. Ensure secure, reliable system performance with strong observability and release practices. Ingest and transform data from Workday, SharePoint, Excel, Oracle, and other sources. Collaborating with learning leads to refine and enhance tools. Partner with platform teams, perform code reviews, and support engineering best practices. Provide clear documentation and technical guidance to stakeholders. Qualifications You Must Have Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations. Experience with Python, Flask, Marshmallow (schemas, validation, serialization). Angular experience (v19+ or current version with ability to ramp quickly). Experience designing and implementing RESTful APIs with consistent response models, validation, and error handling. SQL / MariaDB experience, including schema design, performant query development, migrations, and production troubleshooting, CI/CD experience with Jenkins. Git / Bitbucket workflow experience. Experience with API gateways (Apigee or Azure API Management) and SharePoint integrations. Experience with dashboard development and analytics tools (Power BI, Tableau, SharpCloud) Experience collaborating, documentation, and production hardening practices (security, observability, reliability). Qualifications We Prefer Master's degree in Engineering, Software Development, Data Science, or a related field. Certifications in RTX CORE Professional, SharpCloud, SAFe. Experience using SAFe Agile and JIRA. Experience with Workday reporting and data structures. Power Platform expertise (Power BI, Power Apps, Power Automate), including M language and DAX. Experience with Tableau, SharePoint, Oracle integrations, Excel automation, and VBA macros. Familiarity with cloud or big data platforms (Matillion, Snowflake, Xeta). Programming experience beyond core stack (Python, R, SQL, DAX, Power Query M). Strong understanding of statistical analysis and machine learning techniques. Excellent communication skills, including ability to translate technical content for non-technical audiences. Strong problem-solving skills, attention to detail, and ability to manage multiple priorities. Ability to quickly learn and maintain existing L&D tools while innovating new solutions. Strategic thinking, strong facilitation skills, initiative, and resiliency. Ability to work independently or collaboratively in a fast-paced environment. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: 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. Candidates will learn more about role type and current site status throughout the recruiting process. For onsite roles, commuting to and from the assigned site is the employee's personal responsibility. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 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 Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2026-07-27 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord Position Role Type: Hybrid U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Security Clearance Type: None/Not Required Security Clearance Status: Not Required At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. Raytheon Engineering Execution is seeking a highly motivated Engineering Metrics and Tools Lead to modernize, maintain, and enhance the digital tools, dashboards, and data systems that enable effective learning across Raytheon Engineering. This role blends engineering, analytics, full stack software development, and digital solution leadership. The ideal candidate will have strong experience developing scalable backend services, API-driven applications, Angular front-end tools, and robust enterprise integrations, while also supporting data-driven learning dashboards, Excel-based tools, and workflow automations. This position requires the ability to collaborate closely with Engineering Learning & Development partners, engineering teams, and platform services groups to deliver secure, reliable, and high impact solutions. This is a hybrid role based in Tewksbury, MA, Dallas, TX, or Tucson, AZ. What You Will Do Develop and maintain Engineering Learning & Development tools used across Raytheon Engineering including: Engineering Learning Matrix (ELM) - Excel-based mapping of roles to required courses. Role-Based Training (RBT) tool - Integrating Workday data with learning requirements and completion metrics. Knowledge Transfer and Apprentice (KTA) tool - Program designed to upskill employees in critical technical and discipline skill areas. Develop and maintain learning dashboards and analytics used across Engineering. Build and support backend services with Python/Flask/Marshmallow. Develop Angular front-end applications for L&D workflows. Design, document, and manage RESTful APIs and integrations. Integrate services with Apigee/APIM and SharePoint. Design and optimize SQL/MariaDB schemas, queries, and migrations. Ensure secure, reliable system performance with strong observability and release practices. Ingest and transform data from Workday, SharePoint, Excel, Oracle, and other sources. Collaborating with learning leads to refine and enhance tools. Partner with platform teams, perform code reviews, and support engineering best practices. Provide clear documentation and technical guidance to stakeholders. Qualifications You Must Have Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations. Experience with Python, Flask, Marshmallow (schemas, validation, serialization). Angular experience (v19+ or current version with ability to ramp quickly). Experience designing and implementing RESTful APIs with consistent response models, validation, and error handling. SQL / MariaDB experience, including schema design, performant query development, migrations, and production troubleshooting, CI/CD experience with Jenkins. Git / Bitbucket workflow experience. Experience with API gateways (Apigee or Azure API Management) and SharePoint integrations. Experience with dashboard development and analytics tools (Power BI, Tableau, SharpCloud) Experience collaborating, documentation, and production hardening practices (security, observability, reliability). Qualifications We Prefer Master's degree in Engineering, Software Development, Data Science, or a related field. Certifications in RTX CORE Professional, SharpCloud, SAFe. Experience using SAFe Agile and JIRA. Experience with Workday reporting and data structures. Power Platform expertise (Power BI, Power Apps, Power Automate), including M language and DAX. Experience with Tableau, SharePoint, Oracle integrations, Excel automation, and VBA macros. Familiarity with cloud or big data platforms (Matillion, Snowflake, Xeta). Programming experience beyond core stack (Python, R, SQL, DAX, Power Query M). Strong understanding of statistical analysis and machine learning techniques. Excellent communication skills, including ability to translate technical content for non-technical audiences. Strong problem-solving skills, attention to detail, and ability to manage multiple priorities. Ability to quickly learn and maintain existing L&D tools while innovating new solutions. Strategic thinking, strong facilitation skills, initiative, and resiliency. Ability to work independently or collaboratively in a fast-paced environment. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: 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. Candidates will learn more about role type and current site status throughout the recruiting process. For onsite roles, commuting to and from the assigned site is the employee's personal responsibility. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 107,500 USD - 204,500 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 Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
