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Software Developer, Scaled Ops AI Acceleration Team
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$171k–$240k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity, Benefits
Posted 15d ago
~40 hrs/week
Responsibilities
Design, develop, and deploy AI-powered automation solutions to optimize operational processes and drive efficiency at scale. Collaborate with cross-functional teams and manage vendor workers to deliver robust, scalable full-stack systems.
Requirements
Requires 8+ years of software engineering experience and 6+ years in AI/ML fields, with a bachelor's degree in Computer Science or a related field. Proficiency in Python, React, SQL, and experience with LLMs and PyTorch is essential.
Full job description
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, relevant technical field, or equivalent practical experience
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
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
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 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
$171,000/year to $240,000/year + bonus + equity + benefits
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Based on 6514 listings with disclosed salaries, most technology jobs in Texas pay between $88k–$215k per year. Individual offers vary with seniority, company size, and specialization.
How many Technology jobs are open in Texas right now?
There are currently 15,929 open technology positions in Texas listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Texas?
Companies currently hiring include Amazon, JPMorganChase, Applied Materials, Bright Vision Technologies, SpaceX, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Texas?
Yes — 6181 of the 15929 open technology positions offer remote or hybrid work (2366 remote, 3815 hybrid).
How do I apply for Technology jobs in Texas?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.