Machine Learning Engineer (II-III), Space Edge Deployment

Location: Fully onsite in Denver, Colorado or Long Beach, California; daily office attendance or commuting is required.

Base salary: $125,000–$220,000 per year, plus equity and benefits.

Company

hirify.global develops autonomous spacecraft, advanced payloads, mission software, and space-based interceptors for space superiority and security.

What you will do

• Assist with developing, training, and evaluating machine learning models for mission-relevant tasks.
• Support data ingestion, preprocessing, and feature-engineering pipelines.
• Run experiments, track results, and contribute to model evaluation and iteration.
• Write clean, documented, and testable Python code in collaboration with experienced engineers.
• Contribute to capabilities for object classification, anomaly detection, and data-driven decision-making.

Requirements

• Bachelor’s degree in computer science, machine learning, data science, electrical engineering, or a related field with 2–4 years of experience, or a relevant master’s degree with no experience required.
• Proficiency in Python.
• Foundational knowledge of supervised learning, unsupervised learning, and model evaluation.
• Exposure to PyTorch, TensorFlow, or JAX through coursework, research, or personal projects.
• Strong fundamentals in linear algebra, statistics, and probability.
• Must be a U.S. citizen, lawful permanent resident, protected individual, or eligible to obtain required U.S. Department of State authorizations under ITAR regulations.

Nice to have

• Internship, research, or project experience applying machine learning to real-world or research datasets.
• Familiarity with classification, regression, clustering, or anomaly detection.
• Experience with Git and basic software engineering practices.
• Exposure to MLOps concepts such as experiment tracking or model versioning.
• Coursework or project experience in deep learning, computer vision, or time-series analysis.

Culture & Benefits

• Mission-driven work focused on space domain awareness and space security.
• Health, dental, vision, HRA/HSA options, PTO, and paid holidays.
• 401(k) and parental leave.
• Equity compensation.

Hiring process

• The position remains open until successfully filled.