Remote Machine Learning Engineer

Remote Machine Learning Engineer

Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
CoVar

At a Glance

  • Tasks: Develop machine learning algorithms and software to tackle real-world challenges.
  • Company: Innovative AI/ML R&D company dedicated to impactful solutions.
  • Benefits: Competitive salary, health coverage, flexible schedule, and tuition support.
  • Other info: Opportunity for career growth and publishing novel work.
  • Why this job: Make a difference with AI while working on exciting projects for the DoD.
  • Qualifications: Expertise in Python, machine learning fundamentals, and strong communication skills.

The predicted salary is between 63000 - 77000 Β£ per year.

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.

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

  • 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).
  • Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) is valued.
  • Familiarity 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.
  • Active US security clearance (secret or higher).

Benefits

  • Competitive salary, cash bonus, equity structure, and 401k with employer contributions.
  • Excellent health care coverage, including dental and vision plans.
  • Parental leave.
  • Short-term and long-term disability insurance.
  • Life insurance.
  • Flexible work schedule.
  • Tuition support.
  • PTO and paid holidays.

Remote Machine Learning Engineer employer: CoVar

CoVar is an exceptional employer that values the expertise of its employees, particularly in the Field Operations Advisor role, where your military experience will directly influence the integration of cutting-edge AI technology within the Army. Located in Durham, NC, CoVar fosters a collaborative work culture that encourages professional growth through strategic relationships and hands-on support for military units, all while offering competitive benefits such as flexible work schedules, comprehensive healthcare, and tuition support. Join us to be part of a passionate team dedicated to making a meaningful impact in defence and technology.

CoVar

Contact Details:

CoVar Recruitment Team

We think you need these skills to ace Remote Machine Learning Engineer

Python
NumPy
pandas
PyTorch
TensorFlow
Machine Learning Fundamentals
Gradient Descent