Staff Engineer - Autonomous Flight Modeling & Planning

Merlin; Boston (MA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Catered lunches

Snacks and beverages

On-site perks

Job summary

Merlin HQ in Boston seeks a senior ML engineer/scientist to design and train world models for aircraft dynamics and environment. You will build rollout mechanisms for planners to evaluate candidate plans against predicted outcomes and contribute to safety through calibrated uncertainty signals.

You will work with data/sim teams to bridge sim-to-real gaps, benchmark against physics-based models, and ensure reproducible results across data versions and seeds.

Qualifications

• 10+ years building and training deep learning models, including sequence or trajectory prediction.
• Experience with evaluation and uncertainty quantification in predictive models.
• Strong PyTorch and training stack knowledge: distributed training, mixed precision, experiment tracking.

Responsibilities

• Design, train and evaluate world models predicting aircraft state and environment.
• Build rollout/imagery machinery for planner evaluation of candidate futures.
• Own calibrated predictive uncertainty and out-of-distribution signals for safety monitoring.

Skills

Deep learning

Sequence modelling

PyTorch

Uncertainty quantification

Education

Degree in CS/AI/Data Science

Tools

Python

Distributed training

Job description

Merlin HQ in Boston seeks a senior ML engineer/scientist to design and train world models for aircraft dynamics and environment. You will build rollout mechanisms for planners to evaluate candidate plans against predicted outcomes and contribute to safety through calibrated uncertainty signals.

You will work with data/sim teams to bridge sim-to-real gaps, benchmark against physics-based models, and ensure reproducible results across data versions and seeds.