At a Glance
- Tasks: Lead the development of innovative semantic search solutions and manage pilot implementations.
- Company: Join Algolia, a leading API-first platform transforming search experiences for over 10,000 customers.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with a culture that values grit, trust, and continuous learning.
- Why this job: Be part of a pioneering team shaping the future of search technology.
- Qualifications: 10+ years in machine learning, with a strong focus on search and production experience.
The predicted salary is between 80000 - 100000 £ per year.
About Algolia
Algolia is an API-first platform dedicated to enabling companies to create world‐class Search and Discovery experiences. Powering 1.5 trillion searches a year for over 10,000 customers globally, performance and scalability are central to its mission. Algolia values Developer Experience, maintaining high-quality SDKs across numerous languages and platforms. The company values Grit, Trust, Candor, Care, and Humility, seeking problem solvers who think outside the box and are eager to learn and nurture others.
The Team
You will be one of the inaugural hires for the Semantic Search team, which is focused on integrating textual and vector search to drive the next generation of search experiences. This role offers a unique opportunity to contribute to a product from its inception through to scaling to over a trillion searches annually. The ideal candidate possesses a strong understanding of semantic and vector search theory, coupled with a pragmatic view of the current state of the art, to effectively navigate constraints and build search solutions that excel in both textual and semantic matching scenarios.
Your Role Will Consist Of
- Managing the technical implementation of the semantic search pilot.
- Working with a team to bring validated semantic search into production.
- Leading the technical implementation of the semantic search pilot.
- Researching and developing optimal approaches to blend textual and semantic search results.
- Developing semantic search models adaptable for a diverse range of customers across different verticals and languages.
You Might Be a Fit If You Have
- 10+ years experience in ML, with 5+ years experience in search.
- Primary experience in industry settings.
- Proven track record of putting search or ML into production with significant traffic, either as a lead or a senior contributor.
- Experience iterating on models over time and maintaining software in production while working within constraints.
- Master's degree or higher in Computer Science with a focus on Information Retrieval (ML focus is a bonus).
Nice To Have
- Experience with companies at Algolia's current stage and beyond (over 10,000 customers, $50-200M ARR range, high growth, significant change).
- Tech lead experience.
- Published and/or presented research on previous work.
Staff Machine Learning Engineer - Semantic Search in London employer: Gravity Engineering Services Pvt Ltd.
Algolia is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Staff Machine Learning Engineer focused on Semantic Search. With a commitment to employee growth, the company offers opportunities to work on cutting-edge technology while contributing to a product that impacts over 10,000 customers globally. Located in a vibrant tech hub, Algolia promotes a supportive environment where values like Grit, Trust, and Humility are at the forefront, ensuring that every team member can thrive both personally and professionally.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Staff Machine Learning Engineer - Semantic Search in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Algolia or similar companies. Attend meetups, webinars, or conferences where you can chat with potential colleagues and learn more about their experiences.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to semantic search and machine learning. This could be anything from GitHub repos to blog posts explaining your thought process. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your past experiences in ML and search, and how you’ve tackled challenges. Don’t forget to highlight your problem-solving abilities and willingness to learn!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Algolia team. Don’t hesitate – get your application in and let’s make some magic happen!
We think you need these skills to ace Staff Machine Learning Engineer - Semantic Search in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of Staff Machine Learning Engineer. Highlight your experience in ML and search, especially any projects that showcase your ability to blend textual and semantic search.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about semantic search and how your background makes you a perfect fit for our team. Don’t just repeat your CV; share stories that demonstrate your grit and problem-solving skills.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional or personal capacity, make sure to include them. We love seeing practical applications of your skills, especially those that have driven significant traffic or improved search experiences.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your Stuff
Make sure you brush up on your knowledge of semantic and vector search theory. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in high-traffic environments. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Experience
Prepare specific examples from your past roles where you've successfully put machine learning or search solutions into production. Highlight any challenges you faced and how you overcame them, as this aligns with Algolia's value of Grit.
✨Emphasise Team Collaboration
Since you'll be working closely with a team, be ready to talk about your experience in collaborative settings. Share instances where you led projects or contributed significantly to team efforts, showcasing your ability to nurture others and work towards common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about Algolia's current projects and future direction, particularly regarding their semantic search initiatives. This demonstrates your genuine interest in the role and helps you assess if the company culture aligns with your values of Trust and Candor.
