Senior Machine Learning Engineer II
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Job Description
Senior Machine Learning Engineer building large-scale predictive models for FlightAware’s aviation intelligence products. Improving flight arrival, landing, and taxi-time predictions for airlines and airports.
Responsibilities:
- 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
- Work with large datasets and niche large-scale data technologies
- Solve open-ended machine learning and performance-efficiency problems
- Contribute ideas and help shape the direction of the Aviation Intelligence team
- Improve operational efficiency for airlines and airports through predictive aviation data
- Provide models whose results power the FlightAware Foresight product suite and live predictive aviation data for industry customers
- Work within an agile development style
Requirements:
- Typically 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
- 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
- Preferred: experience with Kubernetes, AWS, and GPU acceleration
- Preferred: experience with graph neural networks
- Preferred: experience with weather or other geospatial datasets
- Preferred: experience with Prometheus, Grafana, Thanos, or similar observability stacks
- Preferred: familiarity with Dagster, Airflow, or other ETL orchestration tools
- Preferred: familiarity with Iceberg, Spark, Elasticsearch, and other large-scale data processing systems
- Preferred: experience with hybrid cloud and on-premises Kubernetes infrastructure
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
- Possible annual short-term and/or long-term incentive compensation programs
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