Software Engineer, Machine Learning - Central Integrity

Meta; Menlo Park (CA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking experienced engineers to join the Central Integrity team in Menlo Park, California. You will build scalable AI-powered systems to detect and disrupt harm at a global scale, contributing to safety across Meta's platforms and products.

You will collaborate with product, design, and operations, mentor peers, and drive major initiatives while advancing responsible AI practices and reducing technical debt in high-stakes environments.

Qualifications

• 8+ years of programming experience in a relevant language.
• 4+ years experience with a PhD.
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences.
• Implement custom user interfaces using latest programming techniques and technologies.
• Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews.
• Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members.
• Architect efficient and scalable systems that drive complex applications.
• Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt.
• Work on a variety of coding languages and technologies.
• Establish ownership of components, features, or systems with expert end-to-end understanding.

Skills

Programming experience

Leadership experience

Education

Bachelor's degree in Computer Science or Engineering

PhD or Masters preferred

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Meta is seeking experienced engineers to join our Central Integrity team which exists to keep billions of people safe on Meta's platforms. We design and deploy systems that detect and disrupt harm at an unprecedented global scale, making this one of the largest deployments of AI for positive real-world impact anywhere in the industry. Our work safeguards critical areas including child and youth safety, fraud and scams, identity and authenticity and more while actively building defenses against novel frontier threats, such as autonomous AI agents and automated risk vectors. This represents some of the most technically demanding and high-stakes engineering and product at Meta, driven by a deeply mission-focused team. You'll combine strong engineering fundamentals with cutting-edge AI to build effective, adaptable solutions that stay ahead of evolving integrity and safety risks. If you are driven by hard technical challenges and want your work to deliver immediate, real-world impact, this is where you belong.Software Engineer, Machine Learning - Central Integrity Responsibilities:Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences.Implement custom user interfaces using latest programming techniques and technologies.Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews.Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members.Architect efficient and scalable systems that drive complex applications.Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt.Work on a variety of coding languages and technologies.Establish ownership of components, features, or systems with expert end-to-end understanding.Minimum Qualifications:8+ years of programming experience in a relevant language OR 4+ years experience with a PhDBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceProgramming experience in a relevant languageDemonstrated experience driving change within an organization and leading complex technical projectsExperience utilizing data and analysis to explain technical problems and provide detailed feedback and solutionsPreferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExperience with frameworks like TensorFlow, PyTorch, or Scikit-learnUnderstanding of information retrieval concepts, such as indexing, querying, and rankingDemonstrated grasp of data structures and algorithms, including graph theory and optimization techniquesKnowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysisDemonstrated 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 technologiesExperience building detection, classification, or enforcement systems for abuse, fraud, or safety harms at consumer scaleExperience working on adversarial problems where bad actors actively adapt to countermeasuresExperience in trust and safety, risk, fraud, security, or regulated-domain engineeringAbout 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 Affirmative 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 [e-mail].$183,997/year to $257,000/year + bonus + equity + benefitsIndividual 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.