At a Glance
- Tasks: Build and maintain machine learning components for Elasticsearch, collaborating with engineering teams.
- Company: Elastic, a leading Search AI company powering Fortune 500 businesses.
- Benefits: Competitive pay, health coverage, flexible schedules, generous vacation, and parental leave.
- Why this job: Join a dynamic team to innovate with cutting-edge technology and make a real impact.
- Qualifications: Strong Java and C++ skills, experience in machine learning development, and complex systems understanding.
- Other info: Inclusive culture with excellent career growth opportunities and support for diverse backgrounds.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter.
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, on the C++ side this 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. This covers 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
Equal Opportunity
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 candidate_accessibility@elastic.co. 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.
Please see here for our Privacy Statement.
What Elastic Has to Offer
Elastic is the company behind the Elastic Stack - Elasticsearch, Kibana, Beats, and Logstash. From stock quotes to Twitter streams, Apache logs to WordPress blogs, Elastic helps people explore and analyze their data differently using the power of search. Thousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems.
Elastic offers their employees benefits like:
- 401(k) / Retirement Plan
- Minimum 16 weeks of parental leave
- Health coverage & vision insurance
- Flexible locations & schedules
- Work from home policy
- Generous vacation time & paid holidays
Elasticsearch - Principal Java Engineer II - ML Core employer: PowerToFly
Contact Detail:
PowerToFly Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Elasticsearch - Principal Java Engineer II - ML Core
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to Java and machine learning. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practicing common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Elasticsearch - Principal Java Engineer II - ML Core
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Principal Java Engineer II role. Highlight your core Java and C++ expertise, as well as any machine learning projects you've led. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about machine learning and how your background makes you a perfect fit for our Elasticsearch team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you've worked on any relevant projects, especially in open source or with the Elastic Stack, make sure to mention them. We’re keen to see examples of your work and how you've tackled complex systems. This helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there. Don’t miss out!
How to prepare for a job interview at PowerToFly
✨Know Your Java and C++ Inside Out
Make sure you brush up on your core Java and C++ skills before the interview. Be prepared to discuss data structures, concurrency constructs, and any newer language features you've used. They’ll likely ask you to solve problems or explain concepts, so practice coding challenges that focus on algorithms.
✨Showcase Your Machine Learning Experience
Since this role involves building ML components, be ready to talk about your past experiences in leading ML development. Prepare examples of projects where you’ve implemented machine learning solutions, focusing on the impact they had and how you collaborated with other teams.
✨Understand the Elastic Stack
Familiarise yourself with the Elastic Stack and its components. Even if you don’t have direct experience, showing that you’ve done your homework will impress the interviewers. Discuss how you see the integration of ML within the Elastic platform and be ready to share your thoughts on potential improvements.
✨Communicate Effectively with Stakeholders
This role requires interaction with various stakeholders, so practice articulating your ideas clearly. Think of examples where you’ve successfully communicated complex technical concepts to non-technical audiences. This will demonstrate your ability to bridge the gap between engineering and business needs.