Associate Staff Engineer, Machine Learning
On-site New York Full-time Senior Machine Learning Engineering
At a glance
Senior Machine Learning Engineering role at Nagarro. New York · full-time · no salary stated · we estimate $194,875–$271,250.
Estimated pay
Nagarro has not published a salary for this role. The figure below is our estimate, not theirs.
$194,875 – $271,250
What the middle half of senior machine learning engineering roles in New York paid, among postings that did state a salary.
Worked out from 32 postings that stated pay, median $224,245. Last updated Oct 19, 2026.
RoleMachine Learning Engineering
SenioritySenior
LocationNew York
WorkplaceOn-site
EmploymentFull-time
PostedMay 7, 2023 · 3y ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Use your technical knowledge to help teammates choose a sound direction for their work
- Apply your engineering skills to address challenges clients bring to the team
- Look beyond the immediate technical problem to advance the solutions you build
What you bring
- You have the technical knowledge and coding ability to contribute at an associate staff engineer level
- You can guide teammates and apply your skills to client challenges
Who this fits
This senior machine learning engineering role is based on-site in New York. It suits someone ready to guide teammates and take responsibility for solving client challenges.
From the employer
👋🏼 We're Nagarro.
We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Were you given the tools to go beyond solving for X? Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.