Machine Learning Engineer

CoVar; Durham (NC); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Cash bonus

Equity structure

401k with employer contributions

Excellent health care coverage

Flexible work schedule

Tuition support

Job summary

A small AI/ML software company in Durham, NC, is looking for a software developer to create machine learning algorithms and solve customer issues. The role requires expertise in Python and machine learning fundamentals, alongside experience with tools such as PyTorch or TensorFlow. Candidates should be able to work in Durham and must be eligible for a US security clearance. The company offers competitive salary, health coverage, and flexible work schedules, along with relocation assistance.

Qualifications

• Expertise in Python and numerical packages such as NumPy and pandas.
• Deep understanding of machine learning fundamentals and algorithms.
• Excellent technical communication skills.

Responsibilities

• Develop software and machine learning algorithms for real-world problems.
• Work with data, evaluate results, and write production code.
• Present work to high-level customers and potential publication opportunities.

Skills

Python

NumPy

pandas

PyTorch

TensorFlow

machine learning fundamentals

computer vision algorithms

Education

B.S. in engineering, math, computer science, or related field

M.S. or Ph.D. preferred

Tools

git

CI/CD pipelines

Job description

About CoVar

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.

About this position

You will help CoVar develop software and machine learning algorithms to solve real-world customer problems. You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.

Qualifications

Applicants should have expertise in Python (including NumPy, pandas, and other packages) and either PyTorch or TensorFlow. Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued. Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques. Previous experience with DoD customers is a plus.

Minimum qualifications

• Software expertise: Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing.
• AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.
• B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field
• Excellent technical communication skills
• Ability to work in Durham, NC (relocation assistance available)
• Eligibility for US security clearance (US citizenship is required)

Bonus skills

• Department of Defense project experience

Benefits

• Competitive salary, cash bonus, equity structure, and 401k with employer contributions
• Excellent health care coverage, including dental and vision plans
• Flexible work schedule
• Tuition support

Visit us: www.covar.com