At a Glance
- Tasks: Drive the future of search tech by building and optimising advanced models.
- Company: Join Perplexity, a leader in innovative search solutions.
- Benefits: Enjoy equity options, comprehensive health insurance, and a 401(k) plan.
- Other info: Dynamic work environment with opportunities for growth and innovation.
- Why this job: Make a real impact on cutting-edge search technologies and collaborate with top teams.
- Qualifications: 5+ years in search systems with a strong ownership mindset.
The predicted salary is between 70000 - 90000 € per year.
Perplexity is seeking an experienced Senior Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.
Responsibilities
- Relentlessly push search quality forward—through models, data, tools, or any other leverage available.
- Architect and build core components of our search platform and model stack.
- Train and evaluate retrieval, ranking and classification models, including LLMs.
- Deploy models—from boosting to LLMs—in a scalable and performant way.
- Build and optimize RAG pipelines for grounding and answer generation.
- Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery.
Qualifications
- Deep understanding of search and retrieval systems, including quality evaluation principles and metrics.
- Proven track record with large-scale search or recommender systems.
- Self-driven, with a strong sense of ownership and execution.
- Minimum of 5 years of working on search or recsys-related projects.
Benefits
- Equity may be part of the total compensation package.
- Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Software Development
Search Senior Machine Learning Engineer in London employer: Perplexity
Perplexity is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior Machine Learning Engineer to thrive. With a focus on advanced search technologies, employees benefit from comprehensive health coverage, equity options, and a supportive environment that encourages professional growth and development. Located in vibrant cities like London, Belgrade, and Berlin, team members enjoy a dynamic work-life balance while contributing to cutting-edge projects that push the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Search Senior Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to search technologies and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on relevant topics. Dive deep into search quality metrics, retrieval models, and LLMs. Practising common interview questions can also help you feel more confident when it’s your turn to shine.
✨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. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Search Senior Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Machine Learning Engineer. Highlight your experience with search and retrieval systems, and don’t forget to showcase any relevant projects you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about search technologies and how your skills align with our mission at StudySmarter. Keep it engaging and personal.
Showcase Your Projects:If you’ve worked on large-scale search or recommender systems, make sure to include specific examples in your application. We love seeing real-world 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’s super easy!
How to prepare for a job interview at Perplexity
✨Know Your Search Systems
Make sure you brush up on your understanding of search and retrieval systems. Be ready to discuss quality evaluation principles and metrics, as these are crucial for the role. Prepare examples from your past work that showcase your experience with large-scale search or recommender systems.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle hypothetical scenarios related to search quality improvement. Think about how you would architect and build core components of a search platform. This is your chance to demonstrate your self-driven nature and strong sense of ownership.
✨Highlight Collaboration Experience
Collaboration is key in this role, so come equipped with stories about how you've worked with Data, AI, Infrastructure, and Product teams in the past. Discuss specific projects where teamwork led to successful outcomes, showcasing your ability to deliver high-quality results quickly.
✨Prepare for Technical Questions
Expect technical questions around training and evaluating retrieval, ranking, and classification models, including LLMs. Brush up on your knowledge of deploying models and optimising RAG pipelines. Being able to articulate your thought process will impress the interviewers.
