refresh

Trending Companies

Trending

Jobs

JobsMeta

Software Engineer, ML (Technical Leadership)

Meta

Software Engineer, ML (Technical Leadership)

Meta

Tel Aviv, Israel

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Annual team offsites

Top Tier compensation with equity

Health, dental, and vision coverage

Parental leave program

Required Skills

PyTorch

TensorFlow

SQL

  • Jobs

  • View All Jobs

  • Companies

  • Advice

  • Coaching

  • Newsletter

  • Employers

  • Sign In

  • Saved Companies

  • Account Settings

  • Sign Out

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:

Want more jobs like this?

Get jobs in Tel Aviv, Israel delivered to your inbox every week.
Email Address

Send me The Muse newsletters for the best in career advice and job search tips.

Get jobs!
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.
0 seconds of 1 minute, 29 seconds Volume 0%
Press shift question mark to access a list of keyboard shortcuts Keyboard Shortcuts Enabled Disabled Shortcuts Open/Close/ or ?Play/PauseSPACEIncrease Volume↑Decrease Volume↓Seek Forward→Seek Backward←Captions On/Offc Fullscreen/Exit Fullscreenf Mute/Unmutem Decrease Caption Size-Increase Caption Size+ or =Seek %0-9

Next Up Hear From A Software Engineering Manager At Meta, Erica ROUGH V201:08

Subtitle Settings Off English Font Color White:

Font Opacity100%
Font Size100%
Font Familysans-serif

Character Edge None:

Edge Color Black:

Background Color Black:

Background Opacity75%

Window Color Black:

Window Opacity0%
Reset White Black Red Green Blue Yellow Magenta Cyan100%75%50%25%200%175%150%125%100%75%50%Arial Courier Georgia Impact Lucida Console Tahoma Times New Roman Trebuchet MSVerdana None Raised Depressed Uniform Drop Shadow White Black Red Green Blue Yellow Magenta Cyan White Black Red Green Blue Yellow Magenta Cyan100%75%50%25%0%White Black Red Green Blue Yellow Magenta Cyan100%75%50%25%0%
facebook
linkedin
x
tumblr
reddit
pinterest
Email
Linkhttps://cdn.jwplayer.com/previews/qVQezBD1Copied

Live00:0001:2901:29

More Videos
01:29Hear From A Software Engineer At Meta, Rongzhou ROUGH V201:08Hear From A Software Engineering Manager At Meta, Erica ROUGH V201:49Impact Of Innovation At Meta01:17Hear From A UX Researcher At Meta, Sofia ROUGH V201:00Meta- Ray-Ban Meta Glasses And The People Who Made It Happen01:20Work From Anywhere- Client Provided Video- Meta01:20Work From Anywhere- Client Provided Video- Meta01:39Sami's Story- Client Provided Video- Meta
Close
Apply on company site

Similar Jobs

Software Engineere Bay Remote Software Engineer Atlassian Seattle, WA2022 Software Engineer Intern Snap Mountain View, CA

Suggested Searches

senior jobs Meta jobs All jobs

Search Additional Jobs

Software Engineer Jobs in Tel Aviv, Israel Jobs in Tel Aviv, Israel The Muse LogoA logo with "the muse" in white text.

of Use

  • Popular Jobs

  • New York Jobs

  • San Francisco Jobs

  • Seattle Jobs

  • Engineering Jobs

  • Marketing Jobs

  • Information Technology Jobs

  • Salaries

Get Involved

  • For Employers
  • The Muse Book: The New Rules of Work
  • For Career Coaches
  • Tell A Friend

Join The Conversation:

  • Facebook

  • LinkedIn

  • Twitter

  • Pinterest

  • Instagram

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Meta

Meta

Meta

Public

A 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