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Meta
Software Engineer, ML (Technical Leadership)
2 weeks ago• Tel Aviv, Israel
Viewed on February 1, 2026
Apply on company site
About Us
Meta builds technologies that help people connect, find communities and grow businesses.
- Size: 10000+ employees
- Industry: Engineering, Social Media, Technology
View Company Profile:
The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk at Meta. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of Meta's risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities:
- 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
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
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
Identify and Initiate New Business Opportunities:
- Collaborate with Meta Fin Tech, 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
- 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
Minimum Qualifications:
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By signing up, you agree to our • Extensive experience in supporting and evolving a portfolio of ML models that deliver on critical business goals
Preferred Qualifications:
- Experience working with ML models in financial risk or similar financial contexts
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 Whats App 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.
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.
Client-provided location(s): Tel Aviv, Israel Job ID: a1KDp00000E2bvcMABEmployment Type: OTHERPosted: 2026-01-13T19:46:14Apply on company site
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- FSA With Employer Contribution
- HSA
- HSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- Happy Hours
- Snacks
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Leave of Absence
Financial and Retirement
- 401(K)
- 401(K) With Company Matching
- Pension
- Company Equity
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Professional Development
- Learning and Development Stipend
- Promote From Within
- Mentor Program
- Shadowing Opportunities
- Access to Online Courses
- Lunch and Learns
- Internship Program
Diversity and Inclusion
Company Videos
Hear directly from employees about what it is like to work at Meta.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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