At a Glance
- Tasks: Build and deploy ML systems to detect disinformation in real-time.
- Company: Join WhyHireWrong?, a forward-thinking company tackling disinformation.
- Benefits: Enjoy early employee equity, 25 days holiday, and remote work flexibility.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Make a real impact by combating disinformation with cutting-edge technology.
- Qualifications: Significant production ML experience and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
WhyHireWrong? is seeking a talented Machine Learning Engineer to build and deploy production ML systems designed to detect disinformation in real-time. This role encompasses the full ML lifecycle, where you'll collaborate with engineers and intelligence analysts to improve both the product and infrastructure.
Applicants should have significant production ML experience, strong Python programming skills, and a good understanding of CI/CD pipelines.
Benefits include early employee equity, 25 days of holiday, and the flexibility of a remote-first work environment.
Senior Real-Time Disinformation ML Engineer (Remote) employer: Whyhirewrong?
WhyHireWrong? is an exceptional employer that champions innovation and collaboration in the fight against disinformation. With a remote-first work culture, employees enjoy the flexibility to balance their professional and personal lives while benefiting from early employee equity and generous holiday allowances. The company prioritises growth opportunities, allowing team members to enhance their skills and contribute meaningfully to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Real-Time Disinformation ML Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend virtual meetups. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to disinformation detection. This will give us a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and CI/CD knowledge. We want to see how you think and solve problems, so practice coding challenges and be ready to discuss your past experiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Real-Time Disinformation ML Engineer (Remote)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your production ML experience and Python programming skills in your application. We want to see how your expertise aligns with the role, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the job description. Mention your understanding of CI/CD pipelines and how you've used them in past projects. This helps us see you as a perfect fit for our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's relevant to the role. Make it easy for us to see your qualifications!
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, we love seeing candidates who take that extra step!
How to prepare for a job interview at Whyhirewrong?
✨Know Your ML Lifecycle
Make sure you understand the full machine learning lifecycle, from data collection to model deployment. Be ready to discuss your past experiences with each stage and how you've tackled challenges in production ML systems.
✨Show Off Your Python Skills
Brush up on your Python programming skills before the interview. Prepare to demonstrate your coding abilities, perhaps by solving a problem or discussing a project where you used Python effectively in an ML context.
✨Understand CI/CD Pipelines
Since this role involves CI/CD pipelines, be prepared to explain how you've implemented these in previous projects. Discuss any tools you've used and how they improved your workflow or product delivery.
✨Collaborate and Communicate
This position requires collaboration with engineers and intelligence analysts. Think of examples where you've successfully worked in a team, highlighting your communication skills and how you contributed to the project's success.
