Founding Research Engineer - Defense AI, Time-Series ML

Acceler8 Talent; San Francisco (CA); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Significant equity

Job summary

Acceler8 Talent is assembling a small, high-agency team to tackle defense AI problems at scale. The role blends quantitative research with applied ML, focusing on petabyte-scale, multimodal time-series data and a fast-moving learning stack.

You will influence core technology choices as an early engineering hire, with base salaries up to $300k plus meaningful equity. Prior cyber experience is not required, and US work authorization is needed.

Qualifications

• Highly quantitative with hands-on ML experience.
• Experience solving highly ambiguous research problems in data-intensive settings.
• Background in quantitative research or data-driven domains is preferred.

Responsibilities

• Build the prediction and learning stack for petabyte-scale, multimodal time-series data.
• Stream and refresh data in under one second at scale and convert signals into useful representations.
• Model future actor behavior within complex environments using both classical statistics and deep learning.
• Develop agents that learn new strategies from sparse, long-horizon rewards and contribute to technical direction as an early engineer.

Skills

Quantitative

Time-series

Machine learning

Deep learning

Transformers

Tools

Python

PyTorch

NumPy

Job description

Acceler8 Talent is assembling a small, high-agency team to tackle defense AI problems at scale. The role blends quantitative research with applied ML, focusing on petabyte-scale, multimodal time-series data and a fast-moving learning stack.

You will influence core technology choices as an early engineering hire, with base salaries up to $300k plus meaningful equity. Prior cyber experience is not required, and US work authorization is needed.