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For Companies At a Glance
- Tasks: Join as a senior backend engineer and collaborate with data scientists on machine learning projects.
- Company: An innovative AI scale-up with a global remote team.
- Benefits: Enjoy full remote work flexibility and training in cutting-edge technologies.
- Why this job: Transition into machine learning while working with top talent in a dynamic environment.
- Qualifications: Experience in backend development; knowledge of Golang is a plus but not required.
- Other info: Work alongside the CTO and gain insights into advanced machine learning models.
The predicted salary is between 48000 - 84000 £ per year.
Job Description
The Role
As a senior backend engineer at this AI scale up you will have the opportunity to work closely with the companies Data Science team to transition into a machine learning engineer role. In your first 3 months in the role you will work closely with the highly successful CTO of this business and head of data science to understand their backend systems and machine learning models. The team work in Golang on the backend and are happy to train any candidates in this technology as long as you have a mastery of another language.
This is a remote first company with team members in San Fran, New York, Berlin and London and you must be open to working remotely going forward.
Senior Backend Engineer – Train in Machine Learning – Full Remote employer: Propel London
Contact Detail:
Propel London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend Engineer – Train in Machine Learning – Full Remote
✨Tip Number 1
Familiarise yourself with Golang, even if you have experience in another programming language. There are plenty of online resources and tutorials that can help you get up to speed quickly, which will show your commitment to learning and adapting.
✨Tip Number 2
Highlight any experience you have working with data science or machine learning projects. Even if it's not extensive, showcasing your interest and any relevant skills can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and machine learning fields. Engaging with communities on platforms like LinkedIn or GitHub can provide insights into the industry and may even lead to referrals within the company.
✨Tip Number 4
Prepare to discuss how your previous experiences can translate into the role of a backend engineer transitioning into machine learning. Be ready to share specific examples of problem-solving and collaboration, especially in remote settings.
We think you need these skills to ace Senior Backend Engineer – Train in Machine Learning – Full Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with backend engineering and any relevant programming languages. If you have experience in Golang or are willing to learn, emphasise that as well.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for transitioning into machine learning. Mention specific projects or experiences that demonstrate your ability to collaborate with data science teams.
Showcase Relevant Skills: List any skills related to backend development and machine learning. If you have experience with cloud services or databases, be sure to include those as they are often crucial in backend roles.
Highlight Remote Work Experience: Since this is a remote-first company, mention any previous remote work experience. Discuss how you manage your time and communicate effectively in a remote setting.
How to prepare for a job interview at Propel London
✨Showcase Your Technical Skills
Be prepared to discuss your experience with backend technologies and programming languages. If you have worked with Golang or similar languages, highlight specific projects where you applied these skills.
✨Demonstrate Your Willingness to Learn
Since the role involves transitioning into machine learning, express your enthusiasm for learning new technologies. Share examples of how you've successfully adapted to new tools or languages in the past.
✨Understand the Company’s Mission
Research the company and its products, especially their focus on AI and machine learning. Being able to articulate how your background aligns with their goals will show that you're genuinely interested in the role.
✨Prepare Questions for the Interviewers
Have thoughtful questions ready for the CTO and head of data science. This could include inquiries about their current projects, team dynamics, or the future direction of their machine learning initiatives.
