Software Developer, Scaled Ops AI Acceleration Team

Meta

Austin (TX)

On-site

USD 171,000 - 240,000

Full time

10 hours ago
Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Bonus
Equity
Benefits

Job summary

Meta is seeking an experienced Software Developer to join the Scaled Operations AI Acceleration Team in Austin. You will design, build, and deploy AI-powered automation solutions to transform operational processes at scale, collaborating across functions and guiding contract workers.

You will apply full-stack engineering—backend, frontend, and data engineering—while adhering to security and privacy requirements and reporting on impact.

Qualifications

  • 8+ years in software engineering or related field.
  • 6+ years in ML, NLP, AI‑infrastructure or related technical area.
  • Experience with the full web stack, REST API, Python, PHP/Hack, JavaScript/React.
  • Knowledge of PyTorch fine‑tuning and at least one LLM (e.g., Llama, GPT, Claude).
  • Experience communicating with technical and business audiences; strong data analysis (SQL).
  • Experience guiding contractor/vendor workers in technical delivery.

Responsibilities

  • Full stack development to design, deploy, and maintain AI‑powered automation solutions.
  • Rapidly prototype and implement solutions to improve efficiency using AI tech.
  • Collaborate with process owners, architects, product managers, and cross‑functional teams.
  • Apply backend, frontend, and data engineering skills to build scalable systems.
  • Manage and guide contractor/vendor workers to deliver quality solutions.
  • Ensure all solutions meet Meta’s security, privacy, and compliance requirements.
  • Communicate progress and impact to technical and non‑technical audiences.
  • Stay current with AI/ML advancements and experiment with new tools.
  • Develop playbooks, templates, and best practices for automation at scale.
  • Track and report on key metrics and business impact of automation.

Skills

REST API
Python
PHP/Hack
JavaScript/React
PyTorch
LLMs
SQL
Full stack
Contractor management

Education

Bachelor's degree in Computer Science or related field

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.

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
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
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.

Meta is proud to be an Equal Employment Opportunity and Affiant Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$171,000/year to $240,000/year + bonus + equity + benefits

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.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Software Engineer, AI Specialist - Monetization (Technical Leadership)
Software Engineer, AI Specialist - Monetization (Technical Leadership)

Meta • Menlo Park (CA)

On-site
USD 219,000 - 301,000
Software Engineer, Systems ML
Software Engineer, Systems ML

Meta • Seattle (WA)

On-site
USD 184,000 - 257,000
Software Engineer, Machine Learning
Software Engineer, Machine Learning

Meta • Menlo Park (CA)

On-site
USD 347,000 - 403,000
Software Engineer, Machine Learning
Software Engineer, Machine Learning

Meta • Seattle (WA)

On-site
USD 183,000 - 257,000
Bonus
Equity
Benefits
Software Engineer, Machine Learning
Software Engineer, Machine Learning

Meta • New York (NY)

On-site
USD 183,000 - 257,000
Bonus
Equity
Benefits
Software Engineer, Machine Learning
Software Engineer, Machine Learning

SupportFinity™ • Washington

On-site
USD 154,000 - 217,000
Equity
Bonus
Benefits
Software Engineer, Machine Learning
Software Engineer, Machine Learning

Jobzhr • New York (NY)

On-site
USD 184,000 - 257,000
Bonus
Equity
Benefits
Software Engineer, Machine Learning
Software Engineer, Machine Learning

Meta • United States

On-site
USD 183,000 - 257,000
Software Engineer, Systems ML Engineering
Software Engineer, Systems ML Engineering

Meta • Menlo Park (CA)

On-site
USD 183,000 - 257,000
Software Engineer, Systems ML
Software Engineer, Systems ML

Meta • San Francisco (CA)

On-site
USD 184,000 - 257,000