ML Engineer for Spacecraft Autonomy & Generative AI

Verus® Research; Albuquerque (NM); On-site; USD 143,000 - 165,000; Full time

Benefits offered by this job

401(k)

Dental insurance

Employee assistance program

Flexible schedule

Health insurance

Life insurance

Paid time off

Parental leave

Professional development assistance

Referral program

Relocation assistance

Tuition reimbursement

Vision insurance

Job summary

Verus Research in Albuquerque, NM is seeking a Machine Learning Engineer to research, design, and implement advanced ML methods for autonomous systems and robotics, with an initial focus on spacecraft autonomy.

You will develop training pipelines, work across teams, and apply deep learning, data fusion, and computer vision to real-world, flight-ready applications. Candidates should have 3+ years of ML experience and a strong foundation in Python, C++, and ML frameworks.

Qualifications

• Advanced degree in computer science, mathematics, statistics, aerospace engineering, electrical engineering, or related fields.
• 3+ years of experience working on machine learning problems.
• Strong background in stochastic processes, statistical inference, optimal control theory.
• Knowledge of deep learning architectures such as CNNs, RNNs, and NLP, and time series analysis.
• Demonstrated experience working on deep learning pipelines, including familiarity with data processing, model selection, training, validation, and testing.

Responsibilities

• Conceive and develop ML algorithms and training pipelines supporting data-driven outcomes for autonomous systems.
• Work independently and in teams across diverse application areas with focus on spacecraft autonomy.

Skills

Machine learning

Deep learning

Reinforcement learning

Computer vision

Time series analysis

Education

Advanced degree in CS/Math/Stats/EE

Tools

Python

R

C++

PyTorch

TensorFlow

Job description

Verus Research in Albuquerque, NM is seeking a Machine Learning Engineer to research, design, and implement advanced ML methods for autonomous systems and robotics, with an initial focus on spacecraft autonomy.

You will develop training pipelines, work across teams, and apply deep learning, data fusion, and computer vision to real-world, flight-ready applications. Candidates should have 3+ years of ML experience and a strong foundation in Python, C++, and ML frameworks.