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For Companies At a Glance
- Tasks: Design and develop AI-powered automation solutions to optimise operational processes.
- Company: Join Meta, a leader in innovative technology and social connection.
- Benefits: Enjoy competitive pay, health benefits, and opportunities for remote work.
- Why this job: Make a real impact with cutting-edge AI technologies in a dynamic environment.
- Qualifications: 8+ years in software engineering and experience with AI technologies required.
- Other info: Collaborative culture with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Meta is seeking experienced Partner Engineers to join the Scaled Operations AI Accelerator Team. This team is responsible for rapidly designing, developing, and deploying AI-powered automation solutions that transform operational processes and drive efficiency at scale. As a Partner Engineer, you will play a pivotal role in building and implementing innovative solutions using AI technologies, collaborating across functions, and managing the work of contractor and/or vendor workers to deliver measurable impact across Scaled Operations.
Responsibilities
- Design, develop, deploy, and maintain AI-powered automation solutions to optimize and automate key operational processes.
- Rapidly prototype, iterate, and implement technical solutions that drive full-time employee efficiency using AI technologies.
- Collaborate with process owners, architects, product managers, and cross-functional teams to identify high-impact automation opportunities and deliver solutions aligned with business needs.
- Apply full-stack engineering skills, including backend, frontend, and data engineering, to build robust, scalable, and maintainable systems.
- Manage and guide contractor workers and/or vendor workers in the development and delivery of technical solutions, ensuring quality, compliance, and alignment with team objectives.
- Ensure all solutions adhere to Meta's security, privacy, and compliance requirements.
- Communicate technical concepts, project status, and solution impact clearly to both technical and non-technical audiences.
- Stay current with advancements in AI/ML and automation, and experiment with new tools and approaches to foster innovation and continuous improvement.
- Contribute to the development of playbooks, reusable templates, and best practices to scale successful automations across Scaled Operations.
- Track, analyze, and report on key metrics and business impact of automation initiatives.
Minimum Qualifications
- 8+ years of experience in software engineering, support engineering, reliability engineering or related.
- 6+ years of experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, data mining, artificial intelligence, AI-Infrastructure, or related technical field.
- Bachelor's degree in Computer Science, Computer Engineering, related technical field, or equivalent experience.
- Experience with the full web stack, REST API, Python, PHP/Hack, JavaScript/React development along with debugging and bug management support.
- Knowledge on fine-tuning and optimizations of PyTorch models and with at least one LLM such as Llama, GPT, Claude, Falcon, etc.
- Experience in communicating with technical and business audiences and creating technical documentation.
- Experience assessing, analyzing, and resolving operational issues using data analysis (SQL).
- Experience overseeing and guiding contractor workers and/or vendor workers in technical solution delivery.
- Demonstrated collaboration in cross-functional teams and deliver results in a demanding environment.
Preferred Qualifications
- Experience with Meta's internal tools and platforms.
- Familiarity with Global Operations processes and workflows.
- Advanced degree in Computer Science, Engineering, or related field.
- Experience developing playbooks, reusable templates, and best practices for automation at scale that can be leveraged by less technical partners.
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.
Seniority level: Not Applicable
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Technology, Information and Internet
Software Developer, Scaled Ops AI Acceleration Team in London employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Developer, Scaled Ops AI Acceleration Team in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and automation. We want to see what you can do, so make it easy for us to find your best work.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Software Developer, Scaled Ops AI Acceleration Team in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Software Developer in the Scaled Ops AI Acceleration Team. Highlight your experience with AI technologies and full-stack engineering skills, as these are key for us.
Showcase Your Projects: Include specific projects where you've designed or implemented AI-powered solutions. We love seeing real examples of your work that demonstrate your ability to drive efficiency and innovation.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, especially when explaining technical concepts. Make it easy for us to see your impact!
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. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Meta
✨Know Your Tech Stack
Make sure you’re well-versed in the full web stack, especially Python, PHP/Hack, and JavaScript/React. Brush up on your debugging skills too, as you'll likely be asked to solve problems on the spot.
✨Showcase Your AI Knowledge
Familiarise yourself with AI technologies, particularly machine learning and natural language processing. Be ready to discuss your experience with fine-tuning models like PyTorch and LLMs such as GPT or Claude, as this will be crucial for the role.
✨Prepare for Collaboration Questions
Since this role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight how you communicated technical concepts to non-technical audiences and managed contractor workers.
✨Demonstrate Problem-Solving Skills
Be prepared to discuss how you've assessed and resolved operational issues using data analysis. Bring examples of metrics you've tracked and how your solutions made a measurable impact, as this will show your ability to drive efficiency.
