{"id":3383581,"url":"https://alion.io/job/rtx-senior-machine-learning-engineer-ii-flightaware-remote","title":"Senior Machine Learning Engineer II - FlightAware (Remote)","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":82,"open_postings":458,"ghost_share":0,"stale_share":0.721,"repost_share":0.02,"time_to_fill_p50_days":26,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":132400,"max":251600,"currency":"USD","period":"year","gross":null,"usd_annual":251600},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"AWS","optional":true},{"name":"Dagster","optional":true},{"name":"ElasticSearch","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Grafana","optional":true},{"name":"Keras","optional":true},{"name":"Kubernetes","optional":true},{"name":"Prometheus","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true},{"name":"Thanos","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-30T23:26:08Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Date Posted:\n2026-10-26\n\nCountry:\nUnited States of America\n\nLocation:\nUS-CA-REMOTE\n\nPosition Role Type:\nRemote\n\nU.S. Citizen, U.S. Person, or Immigration Status Requirements:\nMust be authorized to work in the U.S. without the company’s immigration sponsorship now or in the future. The company will not offer immigration sponsorship for this position. The company will not seek an export authorization for this role.\n\nSecurity Clearance Type:\nNone/Not Required\n\nSecurity Clearance Status:\nNot RequiredAs a Machine Learning Engineer on the Aviation Intelligence team, you will be building our next generation of Machine Learning models that will become new Foresight products, improving our existing models, and through this work, improving the operational efficiency of the world's largest airlines and airports..\nWe're a small team inside a large org, and this role is meant to grow into someone who brings ideas to the table, not just executes on them.\nWithin Aviation Intelligence, FlightAware's Predict crew builds state-of-the-art machine learning systems that leverage years of historical data and hundreds of millions of examples in order to build models for computing runway landing times, gate arrival times, taxi durations, and more. The results of these models power the FlightAware Foresight product suite, which streams live predictive aviation data to major customers in industry.\nHere's why you might like it: the datasets are genuinely very large, so you get to leverage niche technologies for large datasets and get to flex your math/stats skills from time to time. Performance and efficiency aren't nice-to-haves here, they're fun problems. Much of what we work on is open-ended - and \"can this even be solved,\" is a question that one must enjoy trying to answer. Improvements in our products directly improve the status quo for aviation around the world: airlines and airports run on our predictions, so real people catch flights they'd otherwise miss and skip delays they'd otherwise sit through - without ever knowing your work is why. You don't get many shots at impacting an entire mode of transportation. This is one of them.\nQualifications You Must Have:\nTypically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience\nMust be authorized to work in the U.S. without sponsorship now or in the future. RTX will not offer sponsorship for this position.\nStrong knowledge of Python\nExperience with deep learning frameworks: Tensorflow/Keras or PyTorch\nExperience with complex data types: time series, image, video, etc.\nAbility to work within an agile development style\nQualifications We Prefer:\nExperience with Kubernetes, AWS, and GPU acceleration.\nExperience with graph neural networks\nExperience with weather, or other geospatial, datasets\nExperience with observability stacks (Prometheus, Grafana, Thanos, etc.).\nFamiliarity with Dagster, Airflow or other modern ETL orchestration tools.\nFamiliarity with Iceberg, Spark, Elasticsearch and other large-scale data processing systems.\nExperience working in hybrid infrastructure environments (cloud + on-prem Kubernetes).\nWhat We Offer:\nSome of our competitive benefits package includes:\nMedical, dental, and vision insurance\n\nThree weeks of vacation for newly hired employees\n\nGenerous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option\n\nTuition reimbursement program\n\nStudent Loan Repayment Program\n\nLife insurance and disability coverage\n\nOptional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection\n\nBirth, adoption, parental leave benefits\n\nOvia Health, fertility, and family planning\n\nAdoption Assistance\n\nAutism Benefit\n\nEmployee Assistance Plan, including up to 10 free counseling sessions\n\nHealthy You Incentives, wellness rewards program\n\nDoctor on Demand, virtual doctor visits\n\nBright Horizons, child and elder care services\n\nTeladoc Medical Experts, second opinion program\n\nAnd more!\n\nAvionics:\nAvionics delivers advanced cockpit displays, vision systems, and comprehensive digital solutions for global government, commercial and business aviation customers. We provide connectivity and managed data services to ensure safety and seamless communication for passengers, crews, and militaries, from aircraft and airports to air traffic management. Join us in creating solutions that connect the world, one flight at a time. Start your application today.\nPlease ensure the role type (defined below) is appropriate for your needs before applying to this role.\nRemote: Employees who are working in Remote roles will work primarily offsite (from home). An employee may be expected to travel to the site location as needed.\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 132,400 USD - 251,600 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":7698,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"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":"2026-10-28T06:22:23Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.631,"p_room":1,"age_days":4,"expected_fill_days":26,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":251600,"is_top_pay":true},"html_url":"https://alion.io/job/rtx-senior-machine-learning-engineer-ii-flightaware-remote","json_url":"https://alion.io/job/rtx-senior-machine-learning-engineer-ii-flightaware-remote.json","meta":{"generated_at":"2026-10-31T00:52:06Z","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":1276,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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-senior-machine-learning-engineer-ii-flightaware-remote"},{"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-senior-machine-learning-engineer-ii-flightaware-remote"},{"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-senior-machine-learning-engineer-ii-flightaware-remote"},{"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-senior-machine-learning-engineer-ii-flightaware-remote\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frtx-senior-machine-learning-engineer-ii-flightaware-remote"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3383581}},{"tool":"search_jobs","arguments":{"company":"rtx.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3383581},"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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