{"id":3552874,"url":"https://alion.io/job/rtx-sr-engineer-applied-machine-learning-onsite","title":"Sr Engineer, Applied Machine Learning (Onsite)","company":{"id":1162,"name":"RTX","domain":"rtx.com","url":"https://alion.io/company/raytheon-technologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":442,"ghost_share":0,"stale_share":0.742,"repost_share":0.014,"time_to_fill_p50_days":29,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Troy, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":86800,"max":165200,"currency":"USD","period":"year","gross":null,"usd_annual":165200},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-29T00:00:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-04T06:20:30Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Date Posted:\n2026-10-29\n\nCountry:\nUnited States of America\n\nLocation:\nUS-OH-TROY-101 ~ 101 Waco St ~ WACO\n\nPosition Role Type:\nOnsite\n\nU.S. Citizen, U.S. Person, or Immigration Status Requirements:\nU.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.\n\nSecurity Clearance Type:\nNone/Not Required\n\nSecurity Clearance Status:\nNot RequiredAt 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.\nCollins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.\nCollins Landing Systems is looking for an experienced, highly motivated Senior Applied Machine Learning Engineer to join our Data and Analytics Team focused on supporting our Wheels and Brakes product line. Relying on a strong background in mechanical systems, you will be instrumental in leading development of data driven and hybrid (physics informed) models covering multidisciplinary (performance, structural, thermal and vibration) aspects of our products. You will have an opportunity to collaborate with a wide range of engineers in design, project, sustaining, customer support, and manufacturing. You will also interact with customers assisting in technical decisions for the products you are working on.\nWhat You Will Do:\nDrive the development, training, and validation of data driven and physics informed machine learning (ML) models, with applications towards wheel and brake performance, structural and thermal design, and vibration mitigation and avoidance. \nDefine and standardize validation approaches, acceptance criteria, and performance metrics for analytical and ML models across multiple programs. \nDevelop and implement best practices for data curation, cleaning, integration, and preparation for analytics and ML workflows.\nGuide and mentor other engineers on data analytics and machine learning methodologies, fostering skill development and technical growth within the team.\nLead collaborative efforts with design, reliability, service engineering, and customer support teams to provide data-driven and physics-based recommendations that enhance product performance and address customer needs.\nCreate detailed engineering reports, share findings with internal stakeholders, and present design reviews to internal and external customers as required.\nQualifications You Must Have:\nTypically requires a degree in Mechanical Engineering (or equivalent) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience.\nExpertise in data analytics workflows, statistical methods, and engineering data interpretation, with a proven record of solving complex technical challenges.\nAdvanced knowledge of machine learning (ML) concepts, with demonstrated experience in developing, deploying, and validating models for prediction, classification, and anomaly detection.\nDeep understanding of mechanical engineering principles, including structural behavior, dynamics, thermal concepts, and systems performance.\nQualifications We Prefer:\nHands-on experience in building and using physics-informed neural networks (PINNs), physics-guided/constrained learning and hybrid models that blend first-principles with data-driven components.\nStrong experience with Python for data analysis (e.g., NumPy, Pandas, PySpark) and familiarity with ML frameworks such as TensorFlow or Scikit-learn.\nExpertise in specialized engineering data such as strain gauge, thermal, or flight/aircraft performance datasets.\nDirect experience with using finite element analysis (FEA) for structural, thermal and vibration analysis.\nWhat We Offer:\nBenefits:\nSome of our competitive benefits packages include:\nMedical, dental, and vision insurance \nThree weeks of vacation for newly hired employees \nGenerous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option \nTuition reimbursement program \nStudent Loan Repayment Program \nLife insurance and disability coverage \nOptional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, and ID theft protection \nBirth, adoption, parental leave benefits \nAutism Health, fertility, and family planning \nAdoption Assistance \nAutism Benefit \nEmployee Assistance Plan, including up to 10 free counseling sessions \nHealthy You Incentives, wellness rewards program \nDoctor on Demand, virtual doctor visits \nBright Horizons, child and elder care services \nTeladoc Medical Experts, second opinion program \n And more! \nLearn More & Apply Now!\nOur Advanced Structures team leverages advanced materials and additive manufacturing to develop complex interior and exterior solutions. These solutions ensure structural integrity of the aircraft, help aircraft take off and land, stay trim in the air, move forward, carry cargo and conduct rescues. We delight our customers with superior products and best-in-class service. Our global team is committed to continuous improvement - we work hard to make our solutions lighter-weight, stronger and more technically advanced, so that plane travel can be safer, more affordable and more sustainable in the years to come. We are looking for the best and brightest to fly and land with us!\nOur industry-leading experts are setting the standards for the aerospace industry and paving the way for the future. But as new challenges present themselves, we need fresh, creative and motivated minds to overcome these hurdles, help us break barriers and achieve new levels of innovation. Do you have what it takes to join a global organization that doesn’t shy away from big opportunities? If so, we invite you to join our ranks and create the next generation of aerospace technologies.\nTogether, we will nurture an engineering culture that values intellectual curiosity, risk takers and integrity. A place where we will challenge ourselves, our teams, and the status quo and where we will work to find a way - the right way - to achieve what others can only dream of.\nOnsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.\nAt Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other -- propel us all higher, again and again.\nApply now and be part of the team that’s redefining aerospace, every day.\nAs 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.\nThe salary range for this role is 86,800 USD - 165,200 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.\nPrivacy Policy and Terms:\nClick on this link to read the Policy and Terms","description_format":"text","description_chars":9650,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":true,"languages":[]},"benefits":["Flexible schedule","Life insurance","Parental leave","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Missiles","Air Defense","Defense Manufacturing","Avionics & Flight Control"],"lifecycle":[{"event":"open","at":"2026-10-30T23:26:08Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":5,"expected_fill_days":29,"reasons":["conf:4","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":165200,"is_top_pay":false},"html_url":"https://alion.io/job/rtx-sr-engineer-applied-machine-learning-onsite","json_url":"https://alion.io/job/rtx-sr-engineer-applied-machine-learning-onsite.json","meta":{"generated_at":"2026-11-04T06:33:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10251,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1162},"rest":"https://alion.io/mcp/rest/get_company?id=1162"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frtx-sr-engineer-applied-machine-learning-onsite"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frtx-sr-engineer-applied-machine-learning-onsite"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frtx-sr-engineer-applied-machine-learning-onsite"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/rtx-sr-engineer-applied-machine-learning-onsite\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frtx-sr-engineer-applied-machine-learning-onsite"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3552874}},{"tool":"search_jobs","arguments":{"company":"rtx.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3552874},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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