Machine Learning Engineer in Durham

Machine Learning Engineer in Durham

Durham Full-Time 60000 - 80000 € / year (est.) No home office possible
CoVar

At a Glance

  • Tasks: Develop AI/ML algorithms to tackle real-world challenges and present your work to industry leaders.
  • Company: Join a passionate AI/ML R&D company making a difference in Durham, NC.
  • Benefits: Enjoy competitive salary, equity, flexible hours, and tuition support.
  • Other info: Opportunities for career growth and publishing innovative work.
  • Why this job: Make an impact with cutting-edge technology while working on meaningful projects.
  • Qualifications: Expertise in Python, machine learning fundamentals, and familiarity with computer vision.

The predicted salary is between 60000 - 80000 € 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.

Visit us: www.covar.com

Machine Learning Engineer in Durham employer: CoVar

CoVar is an exceptional employer located in Durham, NC, offering a dynamic work environment where passionate engineers collaborate to push the boundaries of AI/ML technology. With a strong focus on employee growth, CoVar provides opportunities for publishing innovative work and engaging with high-level customers in the DoD, alongside a competitive benefits package that includes flexible work schedules, comprehensive health coverage, and tuition support. Join us to make a meaningful impact while enjoying a supportive culture that values your contributions and professional development.

CoVar

Contact Detail:

CoVar Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer in Durham

Tip Number 1

Network like a pro! Reach out to folks in the AI/ML community, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings at CoVar or other companies.

Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Python, PyTorch, or TensorFlow. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with machine learning fundamentals and algorithms, as well as any relevant projects you've worked on.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at CoVar. Plus, it shows you're genuinely interested in joining our team!

We think you need these skills to ace Machine Learning Engineer in Durham

Python
NumPy
pandas
PyTorch
TensorFlow
Machine Learning Fundamentals
Gradient Descent

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, PyTorch or TensorFlow, and any relevant projects that showcase your skills in AI/ML. We want to see how you can contribute to solving real-world problems!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how your background aligns with our mission at CoVar. Don’t forget to mention any experience with DoD customers if you have it – it’s a big plus for us!

Showcase Your Projects:If you've worked on any cool projects, especially those involving machine learning algorithms or computer vision, make sure to include them in your application. We love seeing practical applications of your skills, so don’t hold back!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at CoVar!

How to prepare for a job interview at CoVar

Know Your Tech Inside Out

Make sure you’re well-versed in Python and the libraries mentioned, like NumPy and pandas. Brush up on your knowledge of PyTorch or TensorFlow, as well as machine learning fundamentals. Being able to discuss these topics confidently will show that you're ready to tackle the challenges at CoVar.

Showcase Real-World Applications

Prepare examples of how you've applied machine learning to solve real-world problems. Whether it's a project from your studies or previous work experience, being able to articulate how your work has made an impact will resonate with the interviewers, especially given CoVar's focus on meaningful applications.

Understand the DoD Context

If you have any experience with Department of Defense projects, be sure to highlight it. Even if you don’t, do some research on how AI/ML is being used in defence. This will demonstrate your interest in the field and your understanding of the unique challenges and responsibilities that come with it.

Practice Your Communication Skills

Since you'll be presenting your work to high-level customers, strong communication skills are a must. Practice explaining complex concepts in simple terms. This will not only help you during the interview but also in your future role at CoVar when discussing your projects with clients.