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- Tasks: Lead a team to tackle complex technical challenges and innovate products that connect billions.
- Company: Join Meta, a global leader in technology and connectivity.
- Benefits: Competitive salary, health benefits, remote work options, and career development opportunities.
- Other info: Dynamic environment with opportunities for mentorship and growth.
- Why this job: Make a real impact on how people connect worldwide with cutting-edge technology.
- Qualifications: Experience in programming and leading cross-functional engineering efforts.
The predicted salary is between 48000 - 72000 £ per year.
Meta is seeking talented principal engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will manage complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we’re looking for passionate individuals who can help us advance the way people connect globally. If you’re interested in leading a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Responsibilities:
- Drive the team’s goals and technical direction to pursue opportunities that make your larger organization more efficient.
- Effectively communicate complex features and systems in detail.
- Understand industry & company-wide trends to help assess & develop new technologies.
- Partner & collaborate with organization leaders to help improve the level of performance of the team & organization.
- Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas.
- Lead long term technical strategy and roadmap for large cross-company efforts.
- Suggest, collect and synthesize requirements and create an effective feature roadmap.
- Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt.
Minimum Qualifications:
- Programming experience in a relevant language.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission.
- Experience driving large cross-functional/industry-wide engineering efforts.
- Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions.
- Experience communicating and working across functions to drive solutions.
- Experience mentoring/influencing experienced engineers across organizations.
Preferred Qualifications:
- B.S. Computer Science or related technical field.
- Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark.
- Experience in shipping products to millions of customers or have started a new line of product.
Software Engineer (Leadership) - Machine Learning in London employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (Leadership) - Machine Learning in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Meta or similar companies on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is gold in the job search game.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning. This gives you a chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for the interview like it’s the championship match! Research common technical questions and practice coding challenges. We want you to feel confident and ready to tackle any problem they throw your way.
✨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 the team.
We think you need these skills to ace Software Engineer (Leadership) - Machine Learning in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Software Engineer (Leadership) role. Highlight your programming experience, leadership in technical projects, and any relevant machine learning expertise to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit for leading a team at Meta. Don’t forget to mention any specific projects that showcase your skills.
Showcase Your Impact: When detailing your past experiences, focus on the impact you've made. Whether it's improving performance, reducing technical debt, or leading cross-functional teams, we want to see how you've driven results in your previous roles.
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 to do!
How to prepare for a job interview at Meta
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and technologies mentioned in the job description. Brush up on your knowledge of machine learning concepts, as well as tools like Hadoop and Spark. Being able to discuss these topics confidently will show that you're not just a candidate, but a potential leader.
✨Showcase Your Leadership Skills
Prepare examples from your past experiences where you've successfully led teams or projects. Highlight how you’ve driven technical direction and influenced others. This is crucial for a leadership role, so be ready to discuss your approach to mentoring and collaborating with cross-functional teams.
✨Understand the Bigger Picture
Research Meta’s products and their impact on global connectivity. Be prepared to discuss industry trends and how they relate to the role. Showing that you understand the company’s mission and can contribute to its long-term goals will set you apart from other candidates.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so come armed with insightful questions about the team’s goals, challenges, and the company’s future direction. This not only demonstrates your interest but also gives you a chance to assess if this is the right fit for you.