At a Glance
- Tasks: Build and maintain machine learning components for Elasticsearch, optimising model performance.
- Company: Join a diverse and innovative tech company focused on advanced analytics.
- Benefits: Competitive pay, health coverage, flexible schedules, and generous vacation days.
- Why this job: Make a real impact in machine learning while collaborating with talented engineers.
- Qualifications: Strong Java and C++ skills, experience in machine learning development, and project ownership.
- Other info: Inclusive culture that values diverse perspectives and offers excellent career growth.
The predicted salary is between 43200 - 72000 ÂŁ per year.
We are on the lookout for a Principal Java Engineer II to join our Elasticsearch - Machine Learning team and help build and maintain the platform and components used for machine learning in Elasticsearch. On the Java side, this will involve maintaining and extending ML support in Elasticsearch, while on the C++ side, it will involve working on model performance optimizations. You will help us to build the platform and components that enable customers to gain insight from their data. This team builds and maintains the infrastructure that integrates advanced analytics and machine learning components into the distributed Elastic platform, making these available for our Search, Observability and Security Solutions. This work will involve close collaboration with Elasticsearch and enterprise search engineers.
What You Will Be Doing:
- Build and maintain Machine Learning and advanced analytical platform components.
- Implement scalable, high quality, well-architected code.
- Collaborate with other engineering teams within Elastic that build on our platform.
- Assist our support engineers and community.
- Promote knowledge sharing and collaboration in a distributed team.
What You Bring:
- You have strong skills in core Java and C++ and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features.
- You have a deep technical proficiency in algorithms.
- You have professional experience in leading the development of Machine Learning components.
- You have shown your ability to understand and work on complex systems.
- You demonstrate the ability to build and debug features with a broad impact, running on multiple machines.
- You are able to own projects from beginning to end, covering both technical design and working with others to develop needed components.
- You have experience communicating with a variety of stakeholders.
Bonus Points:
- Experience with the Elastic Stack.
- Experience with Python / Go.
- Open source experience.
Additional Information - We Take Care of Our People:
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary.
- Health coverage for you and your family in many locations.
- Ability to craft your calendar with flexible locations and schedules for many roles.
- Generous number of vacation days each year.
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service.
- Up to 40 hours each year to use toward volunteer projects you love.
- Embracing parenthood with a minimum of 16 weeks of parental leave.
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email. We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws and can view the following posters linked below:
- Family and Medical Leave Act (FMLA) Poster
- Employee Polygraph Protection Act (EPPA) Poster
Elasticsearch develops and distributes technology and information that is subject to U.S. and other country export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Principal Java Engineer II - Machine Learning - Elasticsearch in London employer: Elasticsearch B.V.
Contact Detail:
Elasticsearch B.V. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Java Engineer II - Machine Learning - Elasticsearch in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at Elastic. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio, make sure it’s up to date. Share projects that highlight your Java and C++ prowess, especially anything related to machine learning.
✨Tip Number 3
Prepare for the interview! Brush up on algorithms and system design. Be ready to discuss how you've tackled complex problems in the past—this is your chance to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Principal Java Engineer II - Machine Learning - Elasticsearch in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your core Java and C++ skills, especially in relation to machine learning. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our Elasticsearch - Machine Learning team. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working closely with other engineering teams, highlight any past experiences where you’ve successfully collaborated on complex projects. We love seeing teamwork in action!
Apply Through Our Website: Don’t forget to apply 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 to do!
How to prepare for a job interview at Elasticsearch B.V.
✨Know Your Tech Inside Out
Make sure you brush up on your core Java and C++ skills, especially around data structures and concurrency. Be ready to discuss algorithms in detail, as this role demands a deep technical proficiency. Practising coding problems related to machine learning components can give you an edge.
✨Showcase Your Project Ownership
Prepare to talk about projects you've led from start to finish. Highlight your experience in technical design and collaboration with other teams. Use specific examples to demonstrate how you’ve built and debugged features that have had a broad impact.
✨Communicate Like a Pro
Since this role involves working with various stakeholders, practice articulating complex ideas clearly and concisely. Think of examples where you successfully communicated technical concepts to non-technical team members or clients.
✨Emphasise Collaboration and Knowledge Sharing
Elastic values teamwork, so be prepared to discuss how you promote knowledge sharing within a distributed team. Share experiences where you’ve collaborated with others to solve problems or improve processes, especially in the context of machine learning and analytics.