Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

This role sits at the intersection of research, engineering, and product, developing foundational AI models for the space environment and optimizing ML pipelines for accurate, reliable forecasts.

Responsibilities

• Build, improve, and ship AI models for space environment forecasting and operational decision support.
• Improve existing models, develop new ones where needed, and move promising experiments into production.
• Apply modern deep learning techniques to sequential, temporal, scientific, and sensor datasets.
• Use AI-assisted coding tools, automation, and modern development workflows to move faster, debug faster, test better, and accelerate experimentation.
• Turn new research ideas into working systems quickly.
• Improve ML pipelines so models are easier to train, evaluate, deploy, monitor, and maintain.
• Define practical evaluation strategies, validation workflows, and performance metrics for operational AI systems.
• Communicate decisions, results, tradeoffs, risks, and next steps clearly and often.

Requirements

• A startup mindset with high ownership and high-velocity, hands-on execution.
• High leverage with AI-assisted coding tools: you know how to use LLMs and modern development tools to ship faster, debug faster, write better tests, and accelerate experimentation without compromising code quality.
• Minimum 2+ years of industry experience with modern deep learning architectures for sequential, temporal, or multimodal data, including attention-based models, transformers, representation learning, and model pretraining or fine-tuning workflows.
• Experience with ML infrastructure tools such as cloud platforms, Airflow, Docker, and related production systems.
• Strong written and verbal communication skills, including the ability to clearly explain technical decisions, experimental results, tradeoffs, and risks.
• Ability to operate with ownership, urgency, and independence required in a startup environment.

Skills

• AI-assisted coding tools
• LLMs
• modern development tools
• modern deep learning architectures
• sequential data
• temporal data
• multimodal data
• attention-based models
• transformers
• representation learning
• model pretraining
• model fine-tuning
• ML infrastructure tools
• cloud platforms
• Airflow
• Docker
• production systems
• C
• Rust

Location

• Canada

Work Type

• Fully remote

Experience Level

• 2+ years of industry experience

Education Level

• Advanced degree in engineering, applied mathematics, computer science, or a related technical discipline.

Salary/Compensations

• Base salary will be determined based on seniority, primary work location, and relevant work experience.

Benefits

• Dental benefits
• Vision benefits
• Healthcare benefits
• Stock options

About the Company

• Perceptive Space is an AI and aerospace company building space environment intelligence for commercial, civil, and defence operators.
• We are building AI-powered space weather forecasting and decision intelligence systems for satellite operators, launch providers, defence and national security customers, and other space infrastructure teams.
• Our goal is to help customers respond to space environment conditions that affect satellite operations, mission design, launch planning, orbital performance, and mission resilience.