Pay
Higher than most similar jobs
$230K–$345K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Staff Machine Learning Engineer
Palo Alto · Palo Alto, California, United States
Open 4 months, first seen by us 120 days ago- Pay
$230,000–345,000/year · BaseAnnual period assumed — pay source
Opportunity of earning equity at Nu Total compensation includes base salary, RSUs and benefits. Base salary range: $230k - $345k Medical Insurance
Read the full posting- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Machine Learning — team source
Department: Machine Learning
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you require sponsorship for employment visa status now or in the future?
From the employer’s application form
What you’ll work on
Full postingAt AI Core, we are scaling the impact of our AI initiatives to become the primary driver of Nu’s most critical decision systems.
As an Machine Learning Engineer (MLE), you’re expected to:
Lead complex applied research on architectures like Transformers and GNNs
Move research models into production within MLOps latency and cost limits
Set technical standards for experimentation, model evaluation and code quality
Mentor senior engineers and researchers and take part in hiring panels
From the employer’s posting
At AI Core, we are scaling the impact of our AI initiatives to become the primary driver of Nu’s most critical decision systems. We are seeking Machine Learning Engineers to lead high-impact research projects that bridge the gap between state-of-the-art AI and production-grade financial systems. You will be responsible for solving complex, ambiguous problems using Deep Learning and Foundation Models, ensuring our architectures are scalable, efficient, and driving measurable business results.
As an Machine Learning Engineer (MLE), you’re expected to:
Lead and execute complex applied research initiatives independently, focusing on building and optimizing architectures (e.g., Transformers, GNNs)
Bridge the gap between research and production by designing architectures that respect MLOps constraints
Establish technical standards within the AI Core team for experimentation, model evaluation, and code quality
Serve as a technical mentor for senior engineers and researchers
Benefits in the posting
Full benefits wording- Opportunity of earning equity at Nu
- Medical Insurance
- Dental and Vision Insurance
- Life Insurance and AD&D
- Extended maternity and paternity leaves
- Nucleo - Our learning platform of courses
- NuLanguage - Our language learning program
- NuCare - Our mental health and wellness assistance program
- 401K
- Saving Plans - Health Saving Account and Flexible Spending Account
- Work-from-home Allowance
- Relocation Assistance Package, if applicable.
- Role Location
From the employer’s posting.
About Nubank
Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorOpen 4 monthsWe first saw this posting 120 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 6, 2026120 days ago
- Recorded sightings
- 217
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 120
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,296 similar postings that came down. Coming down is not always a hire.
Nubank is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- PyTorch
- TensorFlow
Where the posting names them
- Deep expertise in Deep Learning architectures (Transformers, Multimodal, or GNNs). - Strong coding skills in Python and proficiency with frameworks like PyTorch, JAX, or TensorFlow. - Solid understanding of MLOps and the constraints of deploying models at scale.
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
About Nu
Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.
Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.
Visit our Institutional Page
About the role
At AI Core, we are scaling the impact of our AI initiatives to become the primary driver of Nu’s most critical decision systems. We are seeking Machine Learning Engineers to lead high-impact research projects that bridge the gap between state-of-the-art AI and production-grade financial systems. You will be responsible for solving complex, ambiguous problems using Deep Learning and Foundation Models, ensuring our architectures are scalable, efficient, and driving measurable business results.
As an Machine Learning Engineer (MLE), you’re expected to:
Research Execution & Technical Leadership (Complexity & Autonomy)
Lead and execute complex applied research initiatives independently, focusing on building and optimizing architectures (e.g., Transformers, GNNs) that can be deployed across critical use cases like Credit, RecSys, GenAI, and real-time inference.
Address difficult and ambiguous modeling problems that require coordination across various stakeholders (Data, Infra, Product), delivering innovative solutions with a clear focus on medium-term impact.
Bridge the gap between research and production by designing architectures that respect MLOps constraints, ensuring models are optimized for latency, interpretability, and cost-efficiency.
Strategic Impact & Collaboration (Impact)
Develop and deliver innovative solutions that address project-level challenges, focusing on pushing the latest platform and AI research improvements into downstream production models.
Actively participate in cross-functional collaborations, ensuring that research outputs are seamlessly integrated into Nu's decision-making engines.
Establish technical standards within the AI Core team for experimentation, model evaluation, and code quality, inspiring peers to raise their performance.
Mentorship & Function Contribution (Function Contribution)
Serve as a technical mentor for senior engineers and researchers, providing guidance on deep learning fundamentals, problem formulation, and research methodology.
Actively contribute to the function's growth by participating in mandatory activities like hiring (interview panels) and leading internal task forces to improve our ML lifecycle.
Contribute to thought leadership by participating in research collaborations or internal papers that align with Nu’s strategic goals.
What are we looking for?
Professional Experience: 5-7+ years in applied AI/ML, with a proven track record of delivering research-driven systems into production environments
Technical Mastery:
Deep expertise in Deep Learning architectures (Transformers, Multimodal, or GNNs).
Strong coding skills in Python and proficiency with frameworks like PyTorch, JAX, or TensorFlow.
Solid understanding of MLOps and the constraints of deploying models at scale.
Problem Solving: Sophisticated skills in ML problem formulation and the ability to navigate uncertainty when data is messy or unavailable.
Communication: Ability to communicate complex technical concepts to both technical peers and cross-functional stakeholders, ensuring alignment and buy-in.
Analytical Capacity: Experience with large-scale experimentation and A/B testing to validate research hypotheses.
Our Benefits
Opportunity of earning equity at Nu
Total compensation includes base salary, RSUs and benefits. Base salary range: $230k - $345k
Medical Insurance
Dental and Vision Insurance
Life Insurance and AD&D
Extended maternity and paternity leaves
Nucleo - Our learning platform of courses
NuLanguage - Our language learning program
NuCare - Our mental health and wellness assistance program
Extended maternity and paternity leaves
401K
Saving Plans - Health Saving Account and Flexible Spending Account
Work-from-home Allowance
Relocation Assistance Package, if applicable.
Role Location
Palo Alto, California
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nu.com/nu-hybrid-work-model/
Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.
To maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Opportunity of earning equity at Nu Total compensation includes base salary, RSUs and benefits. Base salary range: $230k - $345k Medical Insurance
- Location & working pattern
Palo Alto, California, United States
Role Location Palo Alto, California Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nu.com/nu-hybrid-work-model/ Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.