Senior Machine Learning Engineer II - FlightAware (Remote)
About The Position
As a Machine Learning Engineer on FlightAware's Aviation Intelligence team, you will build the next generation of machine learning models for new Foresight products and improve existing models. These models help improve the operational efficiency of major airlines and airports. The Predict crew builds machine learning systems using extensive historical data and hundreds of millions of examples to predict runway landing times, gate arrival times, taxi durations, and other aviation measures. The models power FlightAware Foresight, which streams live predictive aviation data to major industry customers. This role is on a small team within a large organization and is intended to grow into a contributor who brings ideas, not only executes them. Work includes open-ended problems involving large datasets, model performance and efficiency, and applying mathematical and statistical skills. Improvements to the products support airline and airport operations and can help travelers avoid missed flights and delays.
Requirements
- Typically, a STEM degree and at least 8 years of relevant experience, or an advanced degree in a related field and at least 5 years of experience.
- Must be authorized to work in the United States without company immigration sponsorship now or in the future.
- Strong knowledge of Python.
- Experience with deep learning frameworks such as TensorFlow/Keras or PyTorch.
- Experience with complex data types such as time series, images, or video.
- Ability to work within an agile development style.
Nice To Haves
- Experience with Kubernetes, AWS, and GPU acceleration.
- Experience with graph neural networks.
- Experience with weather or other geospatial datasets.
- Experience with observability stacks such as Prometheus, Grafana, or Thanos.
- Familiarity with Dagster, Airflow, or other modern ETL orchestration tools.
- Familiarity with Iceberg, Spark, Elasticsearch, and other large-scale data processing systems.
- Experience working in hybrid infrastructure environments combining cloud and on-premises Kubernetes.
Responsibilities
- Build machine learning models for new FlightAware Foresight products.
- Improve existing machine learning models.
- Develop predictive models for runway landing times, gate arrival times, taxi durations, and other aviation measures.
- Contribute ideas and work on open-ended problems involving large datasets, performance, and efficiency.
Benefits
- Medical, dental, and vision insurance.
- Three weeks of vacation for newly hired employees.
- 401(k) plan with employer matching and a separate employer retirement contribution, including a Lifetime Income Strategy option.
- Tuition reimbursement program.
- Student Loan Repayment Program.
- Life insurance and disability coverage.
- Optional pet, home and auto, additional life and accident, critical illness, group legal, and identity theft protection coverage.
- Birth, adoption, and parental leave benefits.
- Fertility and family planning benefits.
- Adoption assistance.
- Autism benefit.
- Employee Assistance Plan, including up to 10 free counseling sessions.
- Wellness rewards program.
- Virtual doctor visits.
- Child and elder care services.
- Second-opinion medical consultation program.
- Flexible spending accounts.
- Flexible work schedules.
- Paid time off and holidays.
- Potential eligibility for annual short-term and/or long-term incentive compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
