At a Glance
- Tasks: Lead innovative machine learning projects and drive technical direction for impactful solutions.
- Company: Join Meta, a pioneer in social technology and immersive experiences.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for career advancement.
- Other info: Dynamic work environment with a focus on collaboration and growth.
- Why this job: Shape the future of social connection with cutting-edge technology and a global impact.
- Qualifications: Experience in leading projects, mentoring engineers, and expertise in programming languages.
The predicted salary is between 60000 - 80000 £ per year.
Apply for Software Engineer (Leadership) – Machine Learning at Meta in London, ENG, GB. This Full time on site position offers great opportunities for career growth. Meta is seeking Ads Engineers to join our engineering team. This role requires industry experience working on a range of AI and optimization problems in ads or related products. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
Responsibilities
- Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient
- Effectively communicate complex features & systems in detail
- Understand industry & company-wide trends to help assess & develop new technologies
- Partner & collaborate with organization leaders to help improve the technical quality and delivery velocity of the team and organization
- Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
- Suggest, collect and synthesize requirements and create an effective feature roadmap
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Minimum Qualifications
- Experience leading projects with industry-wide impact
- Experience communicating and working across functions to drive solutions
- Experience in mentoring/influencing engineers across organizations
- Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision
- Experience in driving large cross-functional/industry-wide engineering efforts
- Significant experience in programming languages (Python, C++, or Java) with technical background
- Significant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods
Preferred Qualifications
- Experience in shipping products to millions of customers or have started a new line of product
About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Software Engineer (Leadership) - Machine Learning at Meta employer: Meta
Meta is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London, offering unparalleled opportunities for career growth in the rapidly evolving field of machine learning. Employees benefit from a collaborative environment where they can influence cutting-edge technologies and contribute to projects with global impact, all while enjoying comprehensive benefits and a commitment to personal development. Joining Meta means being part of a forward-thinking team dedicated to shaping the future of social technology and creating meaningful connections worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (Leadership) - Machine Learning at Meta
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Meta or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Meta.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Meta.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Meta that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer (Leadership) - Machine Learning at Meta
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Meta.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Meta and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Meta
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Meta uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
