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Meta

Software Developer, Scaled Ops AI Acceleration Team

London
Posted about 14 hours ago
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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.

Software Developer, Scaled Ops AI Acceleration Team 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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

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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 collaborate 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

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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.

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Skills

Full Stack Development
Python
PHP/Hack
JavaScript/React
PyTorch
Large Language Models
SQL
REST API
Machine Learning
Natural Language Processing
Data Engineering
AI Infrastructure
Prompt Engineering
Agent Orchestration
Technical Documentation
Vendor Management

Location

London, England, United Kingdom

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