ApplySarthi Match jobs to your CV

Senior Machine Learning Engineer I // Senior Machine Learning Engineer II

Signifyd

Make my CV for this job, freeView job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.

Skills named in this job

Read from the description itself, not inferred.

This role on the market

1,074 open learning roles across 262 companies are on ApplySarthi right now, most of them in Bengaluru (63), Hyderabad (24), Delhi NCR (14).

What learning roles keep asking for: Machine learning (48%), Python (35%), LLMs (22%), PyTorch (22%), Deep learning (16%), AWS (13%), Generative AI (13%) — counted across their open postings here.

Linux jobs · Machine learning jobs · Python jobs · SQL jobs

Signifyd has 14 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for learning roles keep coming back to Machine learning, Python, LLMs, PyTorch. Practise those questions before you sit with Signifyd.

Questions you are likely to be asked

  1. Why do you want to join Signifyd?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. Tell me about a time the data was messy or wrong. What did you do?
  4. How would you explain your model's result to someone who is not technical?
  5. What would you check first if a model's accuracy dropped after going live?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the Senior Machine Learning Engineer I // Senior Machine Learning Engineer II at Signifyd interview free →

At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.

Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here!

Signifyd’s Machine Learning team builds production ML models and risk management tools that are the core of Signifyd's product. These models are an integral part of all our products.

We help businesses of all sizes minimize their fraud exposure and grow their sales. We improve the e-commerce shopping experience for everyone by reducing the number of false positive declines of good buyers and by making fraud less profitable for criminals.

The team has end-to-end ownership of our decision-making engine, from research and development to online performance and risk management.

We value collaboration and team ownership - no one should feel they're solving a hard problem alone.

Together, we help each other develop our skillsets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects.

How you'll have an impact:

  • Research emerging fraud patterns in real-time with our Risk Intelligence team
  • Improve the important components of the Signifyd Commerce Protection Platform
  • Communicate complex ideas to a variety of audiences, including executives
  • Build production machine learning models that identify fraud
  • Write production and offline code in python, PySpark
  • Work with distributed data pipelines
  • Collaborate with engineering teams to strengthen our machine-learning pipeline

Past experience you'll need:

  • A degree in computer science or a comparable analytical field
  • 3+ years of post-undergrad work experience required
  • Strong verbal and written communication skills
  • Strong machine learning and statistical background, and a track record of being able to deliver under pressure.
  • Write code and review others' in a shared codebase in Python
  • Practical SQL knowledge
  • Design experiments and collect data
  • Familiarity with the Linux command line
  • Candidates must be based in Hungary

Bonus points if you have:

  • Previous work in fraud, payments, or e-commerce
  • Data analysis in a distributed environment
  • Passion for writing well-tested production-grade code
  • A Master's Degree or PhD
 
#LI-Hybrid

Benefits:

  • Stock Options
  • Annual Performance Bonus or Commissions
  • Pension matched up to 3%
  • ‘Day one’ access to great health insurance scheme
  • Paid team social events
  • Mental wellbeing resources
  • Dedicated learning budget through Learnerbly

Signifyd's Applicant Privacy Notice

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on greenhouse · posted 2026-03-23. ApplySarthi collects openings and links to application pages; the role is advertised by Signifyd, not by us.