At a Glance
- Tasks: Lead the development of innovative semantic search solutions and manage pilot implementations.
- Company: Join Algolia, a leading API-first platform revolutionising search experiences for over 10,000 customers.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic startup environment with significant career advancement potential.
- Why this job: Be part of a pioneering team shaping the future of search technology.
- Qualifications: 10+ years in machine learning with a focus on search; strong technical leadership skills.
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 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 millions globally. Located in a vibrant tech hub, Algolia provides a supportive environment where grit, trust, and care are at the forefront, ensuring that every team member can thrive and make meaningful contributions.
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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Algolia or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to semantic search and machine learning. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by diving deep into Algolia's tech stack and values. Understand their approach to search and be ready to discuss how your experience aligns with their mission and culture.
✨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 Staff Machine Learning Engineer - Semantic Search
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 where you've integrated semantic or vector 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. Share specific examples of your work that demonstrate your problem-solving skills and ability to think outside the box.
Showcase Your Technical Skills:In your application, don't shy away from detailing your technical expertise. Mention any relevant tools, languages, or frameworks you've worked with, especially those related to search and machine learning. We love seeing candidates who can back up their claims with real-world experience.
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 gives you a chance to explore more about Algolia and what we stand for!
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 search or machine learning into production. Highlight any challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to thrive under constraints.
✨Team Player Vibes
Since you'll be working closely with a team, it's crucial to convey your collaborative spirit. Share experiences where you've led projects or contributed significantly to team efforts. Emphasise your ability to nurture others and foster a positive team environment.
✨Ask Smart Questions
Prepare insightful questions about Algolia's approach to search and discovery. Inquire about their current challenges and future goals. This shows your genuine interest in the company and helps you assess if it's the right fit for you.
