At a Glance
- Tasks: Develop AI/ML algorithms to tackle real-world challenges and present to high-level clients.
- Company: Innovative AI/ML R&D company dedicated to impactful solutions.
- Benefits: Competitive salary, bonuses, equity, flexible hours, and tuition support.
- Other info: Opportunities for career growth and publishing novel work.
- Why this job: Join a passionate team pushing the limits of AI/ML in meaningful ways.
- Qualifications: Expertise in Python, machine learning fundamentals, and familiarity with computer vision.
The predicted salary is between 72000 - 88000 £ 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.
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.
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.
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We think this is how you could land Machine Learning Engineer
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at CoVar, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CoVar. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CoVar
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CoVar!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
