At a Glance
- Tasks: Lead the development of next-gen GenAI data loading and storage systems.
- Company: Join Meta's innovative Superintelligence Labs team.
- Benefits: Competitive salary, health benefits, remote work, and growth opportunities.
- Other info: Dynamic environment with mentorship and career advancement potential.
- Why this job: Shape the future of AI data platforms and make a real impact.
- Qualifications: Experience in data infrastructure design and strong technical leadership skills.
The predicted salary is between 36000 - 60000 £ per year.
Meta’s MSL Data team is seeking a Software Engineer to lead the development of next-generation GenAI dataloading and storage systems. The ideal candidate will have experience in designing and scaling data infrastructure for AI/ML applications, with a focus on enabling efficient ingestion, transformation, data loading, and storage of massive datasets powering GenAI models. You will help drive technical direction, collaborate across functions, and shape the future of Meta’s AI data platforms.
Responsibilities
- Serve as a technical leader for the design and architecture of scalable dataloading and storage solutions for GenAI workloads within WS Airstore.
- Drive architectural decisions and set technical direction for high-throughput, low-latency data pipelines supporting large language and multimodal models.
- Develop and optimize data storage formats, access patterns, and caching strategies for GenAI use cases.
- Collaborate with research, infrastructure, and product teams to understand evolving GenAI data requirements and translate them into robust engineering solutions.
- Define use cases, develop methodologies, and establish benchmarks to evaluate and improve data infrastructure approaches.
- Mentor and provide technical guidance to engineers across the organization, fostering best practices in large-scale data engineering and distributed systems.
- Stay abreast of industry and Meta-wide trends in AI data infrastructure, storage technologies, and distributed computing.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Demonstrated experience as a technical leader in the design and architecture of large-scale data infrastructure or storage systems.
- Experience driving cross-functional engineering efforts and influence architectural direction without direct management responsibilities.
- Track record of planning and executing technical roadmaps, with shorter-term projects laddering to long-term vision.
- Experience with distributed systems and large-scale data management.
- Experience mentoring and influencing engineers across organizations.
- Specialized experience in one or more of the following domains: Data infrastructure for AI/ML (GenAI, LLMs, multimodal models), Distributed storage systems, data lakes, or cloud object stores, High-performance data pipelines and ETL frameworks, or planet-scale database/data store.
- Proficiency in C/C++, Python, or similar languages for developing data infrastructure.
- Experience developing and optimizing data systems for AI/ML workloads.
Preferred Qualifications
- Familiarity with modern data storage formats (e.g., Parquet, ORC) and data lake architectures.
- Experience with Meta’s internal data infrastructure (Airstore, Scuba, Presto, etc.) is a plus.
Software Engineer - AI SysML, Meta Superintelligence Labs in London employer: Meta
Meta is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the cutting-edge field of AI and data infrastructure. Employees benefit from extensive growth opportunities, mentorship from industry leaders, and the chance to shape the future of technology while working in a vibrant environment that values creativity and technical excellence. Located at the forefront of technological advancement, Meta provides a unique platform for engineers to make a meaningful impact on global AI initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - AI SysML, Meta Superintelligence Labs in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Meta or similar companies. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML and data infrastructure. This is your chance to demonstrate your technical prowess and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice coding challenges and be ready to discuss your past experiences in detail. We want to see how you think and approach problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Meta's Superintelligence Labs.
We think you need these skills to ace Software Engineer - AI SysML, Meta Superintelligence Labs in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Software Engineer - AI SysML. Highlight your experience with data infrastructure and any relevant projects you've worked on that align with GenAI workloads. We want to see how your skills fit into our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention any specific technologies or methodologies you’ve used that relate to the job description.
Showcase Your Technical Leadership:Since we’re looking for someone who can drive architectural decisions, make sure to highlight any past experiences where you’ve led technical projects or influenced engineering direction. We love seeing examples of mentorship and collaboration too!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining our team at Meta Superintelligence Labs!
How to prepare for a job interview at Meta
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially around data infrastructure for AI/ML. Brush up on your knowledge of distributed systems, data lakes, and high-performance data pipelines. Being able to discuss these topics confidently will show that you’re a strong candidate.
✨Showcase Your Leadership Skills
Since the role involves serving as a technical leader, prepare examples of how you've influenced architectural decisions or led cross-functional projects in the past. Think about specific challenges you faced and how you overcame them, as this will demonstrate your ability to drive technical direction.
✨Collaborate and Communicate
This position requires collaboration with various teams, so be ready to discuss how you’ve worked with different functions in previous roles. Highlight your communication skills and how you’ve translated complex technical requirements into actionable engineering solutions.
✨Stay Current with Industry Trends
Familiarise yourself with the latest trends in AI data infrastructure and storage technologies. Be prepared to discuss how these trends could impact Meta’s AI data platforms. Showing that you’re proactive about staying updated will impress your interviewers.
