Senior Machine Learning Engineer II

Job not on LinkedIn

🔥 0 minutes ago

🏄 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 0%

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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 FlightAware Foresight products • Improve existing machine learning models • Develop state-of-the-art machine learning systems using historical aviation data and hundreds of millions of examples • Build models for runway landing times, gate arrival times, taxi durations, and other aviation predictions • Create predictive aviation data that powers the FlightAware Foresight product suite • Bring ideas to the team and contribute beyond execution • Solve open-ended machine learning and performance problems involving large datasets • Improve operational efficiency for airlines and airports worldwide • Collaborate within an agile development style

🎯 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 deep learning frameworks: TensorFlow/Keras or PyTorch • Experience with complex data types, including 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, including cloud and on-premises Kubernetes, preferred

🏖️ Benefits

• Medical, dental, and vision insurance • Three weeks of vacation for newly hired employees • Generous 401(k) plan with employer matching funds and separate employer retirement contribution, including a 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 • Potential annual short-term and/or long-term incentive compensation programs (not guaranteed)