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Job Descrption

Meta is seeking a seasoned and driven technical ML Specialist to join our GenAI Product Data Operations (PDO) team. The PDO team is the backbone of Meta's machine learning and AI, powering all of Meta’s AI products. As a ML Specialist on the GenAI team, you will be instrumental in steering the success of GenAI programs by offering leadership, strategic direction, and operational excellence. You will work in tandem with cross-functional teams, including researchers, engineers, and product managers, to ensure the smooth execution of GenAI programs. This is a unique chance to contribute to groundbreaking projects that will define the future of AI at Meta!ML Specialist, Product Data Operations Responsibilities

• Collaborate closely with GenAI research, engineering, and product teams to align program objectives with broader organizational goals.
• Apply machine learning techniques and algorithms to large sets of data, creating actionable insights for the business.
• Identify potential risks and issues in GenAI projects, and develop mitigation strategies. Proactively manage these risks to ensure successful project delivery and data quality.
• Communicate project status, risks, and opportunities to senior leadership and stakeholders, providing regular updates on progress and KPIs.
• Establish and maintain quality standards for a portfolio of AI projects, implementing processes to monitor and ensure the quality of deliverables.
• Drive process improvement initiatives to optimize machine learning methodologies and best practices.

Minimum Qualifications

• 10+ years of experience in machine learning, data science, or a related field
• Experience developing and implementing machine learning models and algorithms
• Experience with SQL and database management
• Experience communicating complex technical concepts to non-technical stakeholders
• Experience working with new and emerging technology that evolves quickly

Preferred Qualifications

• Bachelor's degree in Computer Science, Machine Learning, AI, or related field
• Extensive experience in AI, machine learning, or related fields
• Strong understanding of artificial intelligence, machine learning, and deep learning technologies
• Proven track record of successfully delivering large-scale machine learning projects on time and within budget
• Excellent communication and interpersonal skills, with the experience to interact effectively with cross-functional teams and senior leadership
• Strong problem-solving and decision-making skills
• Experience with cloud platforms like AWS, GCP, or Azure
• Familiarity with big data technologies like Hadoop, Spark, or Hive

LocationsAbout 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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $186,000/year to $253,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.

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