13 дней назад
Staff Engineer, World Model Development (Aerospace AI)
185 000 - 325 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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