Senior Machine Learning Engineer II

🕒 August 21

🏄 California, New York, +3 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $132.4k - $251.6k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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RTX

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2020

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

RTX is a globally recognized aerospace and defense company dedicated to transformative technologies and era-defining innovation. It operates through various businesses, including Collins Aerospace, Pratt & Whitney, and Raytheon, with a focus on sustainable, connected flight and smarter defense systems. RTX is committed to diversity, equity, and inclusion across the company and aims to solve the world’s most complex problems with cutting-edge technology and talent. Additionally, RTX is involved in significant projects like upgrading the F135 Engine Core and developing missile-defense systems. The company emphasizes corporate responsibility and sustainable practices.

📋 Description

• Build next-generation machine learning models for new Foresight products • Improve existing machine learning models • Develop state-of-the-art machine learning systems using historical data and hundreds of millions of examples • Build models for runway landing times, gate arrival times, taxi durations, and other aviation predictions • Power the FlightAware Foresight product suite with live predictive aviation data • Leverage technologies for large datasets and apply mathematics and statistics to performance and efficiency problems • Explore open-ended machine learning problems and determine whether they can be solved • Bring ideas to the Aviation Intelligence Predict crew and contribute beyond execution • Improve operational efficiency for airlines and airports worldwide

🎯 Requirements

• Degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years of prior relevant experience, or an Advanced Degree in a related field and minimum 5 years of experience • Must be authorized to work in the U.S. without company immigration sponsorship now or in the future • Strong knowledge of Python • Experience with TensorFlow/Keras or PyTorch • Experience with complex data types such as time series, image, and video • Ability to work within an agile development style • Experience with Kubernetes, AWS, and GPU acceleration preferred • Experience with graph neural networks preferred • Experience with weather or other geospatial datasets preferred • Experience with observability stacks such as Prometheus, Grafana, and Thanos preferred • Familiarity with Dagster, Airflow, or other modern ETL orchestration tools preferred • Familiarity with Iceberg, Spark, Elasticsearch, and other large-scale data processing systems preferred • Experience working in hybrid infrastructure environments preferred • Security clearance is not required

🏖️ Benefits

• Medical, dental, and vision insurance • Three weeks of vacation for newly hired employees • 401(k) plan with employer matching funds and separate employer retirement contribution • Lifetime Income Strategy option • Tuition reimbursement program • Student Loan Repayment Program • Life insurance and disability coverage • Optional pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, and ID theft protection • Birth, adoption, and parental leave benefits • Ovia Health, fertility, and family planning • Adoption Assistance • Autism Benefit • Employee Assistance Plan, including up to 10 free counseling sessions • Healthy You Incentives wellness rewards program • Doctor on Demand virtual doctor visits • Bright Horizons child and elder care services • Teladoc Medical Experts second opinion program • Flexible work schedules • Flexible spending accounts • Employee Scholar Program • Paid time off and holidays • Annual short-term and/or long-term incentive compensation programs may be available • Remote work primarily from home • Travel to the site location as needed