Machine Learning Engineer

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 is searching for a Machine Learning Engineer to perform research & development, conception, and implementation of advanced concepts in artificial intelligence, machine learning, autonomous systems, and mobile robotics. The ideal candidate should have experience developing and implementing machine learning algorithms with a focus on generative methods, data fusion, classification, verification and validation, optimization, computer vision, and/or reinforcement learning.

The primary role for the Machine Learning Engineer will be to aid in the conception and development of machine learning algorithms and training pipelines supporting data‑driven outcomes relevant to automated, intelligent, autonomous systems. This work will require the ability to work both independently and within a team, and a successful team member will be able to work on diverse application areas with an initial focus on advancing state‑of‑the‑art in spacecraft autonomy.

Qualifications

• US Citizen
• 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
• Proficient in Python, R, and C++ and experience with PyTorch, TensorFlow, or other machine learning frameworks
• Ability to communicate technical concepts clearly and concisely, both verbally and in writing

Job Type: Full‑time

Salary: $143,000.00 – $165,000.00 per year

Benefits

• 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

Schedule

• 8 hour shift
• Monday to Friday

Work Location: In person