Software Engineer, ML (technical Leadership)

Meta Meta · Big Tech · Tel Aviv, Israel

This role is for a Principal Machine Learning Engineer focused on financial risk management at Meta. The individual will be responsible for strategizing and delivering ML solutions to minimize financial losses, optimize existing ML models, and lead the research and introduction of advanced technologies like deep learning and LLMs. They will also collaborate on the next-generation ML architecture, identify new business opportunities, and mentor other senior ML engineers.

What you'd actually do

  1. Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing Meta’s financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models’ measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
  2. Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
  3. Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for Meta's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and Meta practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at Meta
  4. Identify and Initiate New Business Opportunities: - Collaborate with Meta FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
  5. Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work

Skills

Required

  • Machine Learning
  • Financial Risk Management
  • Deep Learning
  • Large Language Models (LLMs)
  • ML Model Optimization
  • ML Architecture Design
  • Mentorship

Nice to have

  • Strategy
  • Business Development
  • Cross-functional Collaboration

What the JD emphasized

  • most senior machine learning engineer
  • strategist for financial risk
  • minimize Meta’s financial losses
  • deep learning and Large Language Model (LLM) technologies
  • next-generation ML architecture
  • extensive experience in supporting and evolving a portfolio of ML models that deliver on critical business goals
  • Experience working with ML models in financial risk or similar financial contexts

Other signals

  • ML models for financial risk
  • optimize ML model ensemble
  • deep learning and LLM technologies
  • ML architecture for risk management
  • mentorship of senior ML engineers