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- Tasks: Join our team to automate content classification and enhance user experiences on Reddit.
- Company: Reddit is a vibrant platform where diverse communities connect and share content.
- Benefits: Enjoy remote work flexibility and competitive pay of 55 GBP per hour.
- Why this job: Be part of a dynamic team driving innovation in content curation with cutting-edge technology.
- Qualifications: Proficiency in Python, LLMs, and experience with AWS or Google Cloud required.
- Other info: This is a 6-month contract role perfect for tech-savvy individuals eager to make an impact.
The Content Ops team categorizes and labels all kinds of content on Reddit: posts, subreddits, topics, you name it. This is critical in serving our users the best experiences, so we can align our content with their interests and intents as much as possible. Our ability to understand and curate content is critical to Reddit’s continued growth and success.
The team needs a backend engineer who is well-versed in LLMs: prompt engineering, scripting jobs, retrieval-augmented generation, and automated data processing. To accelerate our goals, the team needs an engineer who can utilize the latest LLMs to parse through, categorize, and output content classification. The successful candidate is a driven self-starter with an eye for automation and optimization.
Key Responsibilities- Automation: crafting scripts and systems to automate manual processes, with clear error handling, observability, and fallback mechanisms.
- RAG & Classification: utilizing LLMs to parse through tons of content, classifying it, and refining over multiple rounds of RAG.
- Systems Architecture: We need automation solutions that will stand the test of time within the broader Reddit ecosystem, and can be used for future classification and refinement work.
- Experience integrating with LLMs and RAG.
- Proficiency in Python and scripting.
- Proficiency in testing.
- Ability to naturally write clear, unconvoluted, testable code.
- Experience with Kubernetes, Kafka, Redis.
- Experience with AWS and/or Google Cloud.
- Strong team player.
- Strong communication skills.
- Experience with highly scalable systems.
- Experience with ML systems is a big plus!
Back End Developer employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Back End Developer
✨Tip Number 1
Familiarise yourself with the latest trends in LLMs and RAG. Being able to discuss recent advancements or projects you've worked on can really set you apart during conversations with our team.
✨Tip Number 2
Showcase your experience with automation and optimisation. Prepare examples of how you've successfully implemented scripts or systems that improved processes in your previous roles.
✨Tip Number 3
Brush up on your knowledge of AWS and Google Cloud services. Be ready to discuss specific tools or services you've used and how they relate to content curation and classification.
✨Tip Number 4
Highlight your teamwork and communication skills. Think of instances where you've collaborated effectively with others, as this role requires strong collaboration within the Content Ops team.
We think you need these skills to ace Back End Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with AWS, Google Cloud, and LLMs. Use specific examples of projects where you've implemented automation or worked with content classification.
Craft a Compelling Cover Letter: In your cover letter, express your passion for backend development and how your skills align with the role's requirements. Mention your experience with Kafka, Kubernetes, and any relevant machine learning projects.
Showcase Your Technical Skills: Include a section in your application that details your proficiency in Python and scripting. Provide examples of how you've written clear, testable code and automated processes in previous roles.
Highlight Soft Skills: Don't forget to mention your teamwork and communication skills. Provide examples of how you've collaborated with others in past projects, especially in remote settings, to demonstrate your fit for the team.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS, Google Cloud, and LLMs in detail. Highlight specific projects where you've integrated these technologies, and be ready to explain your approach to automation and optimisation.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills, especially related to content classification and RAG. Prepare examples of challenges you've faced in previous roles and how you overcame them using innovative solutions.
✨Communicate Clearly
Strong communication is key for this role. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with team members who may not have a technical background.
✨Prepare for Behavioural Questions
Be ready to discuss your experiences as a team player. Think of examples that showcase your collaboration skills and how you've contributed to a positive team environment in past projects.
