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13 дней назад

Staff Engineer, World Model Development (Aerospace AI)

185 000 - 325 000$
Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Engineer, World Model Development (Aerospace AI): Designing, training, and evaluating learned aircraft world models and rollout machinery for autonomous flight planning with an accent on predictive uncertainty, validity boundaries, and sim-to-real evaluation. Focus on modeling aircraft dynamics and surrounding traffic, benchmarking learned models against physics-based systems, and maintaining reproducible evaluations from flight data and simulation.

Location: Boston, Massachusetts, United States; hybrid role with the position based on-site at Merlin headquarters.

Salary: $185,000–$325,000 annual base salary, plus equity and benefits.

Company

hirify.global is an aerospace and defense startup developing autonomous flight technology and a non-human pilot for aircraft.

What you will do

  • Design, train, and evaluate world models that predict aircraft state, environmental conditions, and other traffic under candidate action sequences.
  • Build rollout and imagination systems that allow planners to evaluate candidate futures before selecting an action.
  • Develop calibrated predictive uncertainty and out-of-distribution signals for the safety monitoring layer.
  • Characterize model validity across flight regimes, weather conditions, traffic densities, and aircraft configurations.
  • Work with the Data/Sim team to train in simulation, validate against flight data, and improve simulator fidelity based on discrepancies.
  • Benchmark learned dynamics against physics-based and flight-controls models while maintaining reproducible evaluations.

Requirements

  • Degree in computer science, artificial intelligence, data science, computer engineering, applied mathematics, or a related field.
  • 10+ years of experience building and training deep learning models, including sequence, dynamics, video, or trajectory prediction.
  • Strong PyTorch skills and experience with distributed training, mixed precision, experiment tracking, and debugging training runs.
  • Working knowledge of dynamical systems, state estimation, or control, including the ability to interpret flight dynamics models.
  • Demonstrated rigor in evaluation and uncertainty quantification, plus comfort working with real-world sensor and telemetry data.
  • Applicants must be authorized to work in the United States without current or future visa sponsorship; visa sponsorship and visa transfers are unavailable.

Nice to have

  • Experience with model-based reinforcement learning, latent dynamics models, or learned simulators.
  • Trajectory prediction experience in autonomous driving or robotics.
  • Aerospace experience in flight dynamics, aircraft performance, or air traffic.
  • Experience with multimodal fusion across vision, state, and structured mission context.

Culture & Benefits

  • Innovative, entrepreneurial, and team-focused startup environment.
  • Health, dental, and life insurance.
  • Unlimited vacation and a 401(k) with company match.
  • Professional development support and work/life integration.
  • On-site catered lunches, snacks, and beverages.

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