Senior Software Engineer - Flight Behavior & Prediction

jobs.frontdoordefense.com - Jobboard

San Francisco (CA)

Hybrid

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Comprehensive Healthcare Coverage
Paid Time Off
Connectivity Stipend
Health and Wellness Allowance
Financial Planning (401k)

Job summary

Beacon AI is seeking a Staff Software Engineer in San Francisco to enhance aviation safety through predictive modeling. You will join a dynamic team responsible for developing AI-powered flight solutions, focusing on scalable machine learning systems.

The ideal candidate has a Bachelor's in Computer Science, over 6 years of experience in software engineering, and strong programming skills in Python and C++. This position offers a hybrid working model, requiring office presence 3 days a week.

Qualifications

  • 6+ years of experience in software engineering focused on AI/machine learning.
  • Experience deploying large-scale ML models in production environments.
  • Strong programming skills in Python, C++, or similar languages.

Responsibilities

  • Develop and optimize algorithms for aircraft behavior prediction.
  • Create tools to accelerate R&D and improve productivity.
  • Write clean and efficient code for production environments.
  • Manage technical projects from conception to deployment.

Skills

AI experience
Programming languages (Python, C++)
Problem-solving skills
Collaboration in cross-functional teams

Education

Bachelor's degree in Computer Science or related field
Master's degree (preferred)

Tools

AWS
TensorFlow
PyTorch

Job description

Beacon AI is seeking a Staff Software Engineer in San Francisco to enhance aviation safety through predictive modeling. You will join a dynamic team responsible for developing AI-powered flight solutions, focusing on scalable machine learning systems.

The ideal candidate has a Bachelor's in Computer Science, over 6 years of experience in software engineering, and strong programming skills in Python and C++. This position offers a hybrid working model, requiring office presence 3 days a week.

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