At a Glance
- Tasks: Join a dynamic team to develop AI-powered automation solutions that transform operations.
- Company: Meta, a leader in innovative technology and social connection.
- Benefits: Competitive salary, health benefits, remote work options, and continuous learning opportunities.
- Other info: Exciting career growth potential in a fast-paced, innovative setting.
- Why this job: Make a real impact with cutting-edge AI technologies in a collaborative environment.
- Qualifications: 8+ years in software engineering and experience with AI technologies required.
The predicted salary is between 63000 - 77000 £ per year.
Meta is seeking experienced Software Developer to join the Scaled Operations AI Accelerator Team. This small team is responsible for rapidly designing, developing, and deploying AI-powered automation solutions that transform operational processes and drive efficiency at scale. As a Software Developer, 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:
- Full stack development. 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 supporting 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:
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
- Experience with Meta’s internal tools and platforms.
- Familiarity with Scaled 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.
Software Developer, Scaled Ops AI Acceleration Team in City of Westminster employer: Meta
Meta is an exceptional employer that fosters a dynamic and innovative work culture, particularly for those in the Senior AI/ML Monetisation Engineer role. Located in a vibrant tech hub, employees benefit from cutting-edge resources, ample opportunities for professional growth, and a collaborative environment that encourages creativity and experimentation in the field of machine learning and advertising technology.
StudySmarter Expert Advice🤫
We think this is how you could land Software Developer, Scaled Ops AI Acceleration Team in City of Westminster
✨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 Developer, Scaled Ops AI Acceleration Team in City of Westminster
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.
