Pay
In line with similar jobs
$160K–$200K against $166K–$240K, the middle half of what similar US postings state.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Senior AI/ML Engineer
Fort Lee, New Jersey, United States
Open 6 months, first seen by us 203 days ago- Pay
$160,000–200,000/yearAnnual period assumed — pay source
#LI-JJ1 #LI-Onsite Salary Range: $160,000.00 - $200,000.00 Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild scalable multi-agent AI agents
Work with LLMs, embedding models, and RAG systems
Engineer and refine prompts to improve output quality
Deploy and scale AI solutions on AWS
Fine-tune and optimize generative AI models
From the employer’s posting
Build complex multi-agent AI agents that are highly scalable
Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system
Engineer and refine prompts to enhance AI performance and output quality
Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures
Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face
What you’ll bring
All qualificationsCore experience
- Experience building agentic AI systems
- Knowledge of extracting structured outputs from LLMs
- Proficiency in programming languages Python
- Experience with debugging traces of LLM calls to identify errors/optimizations
- Experience using LLM APIs, embedding models, and RAG-based AI architectures
- Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
Preferred experience
- Experience in NLP, Generative AI, or deep learning models
- Ability to integrate code into real world application
- Understanding AI ethics, bias mitigation, and responsible AI principles
- Prior experience in the financial or banking sector is a plus
Qualification wording
Experience building agentic AI systems
Knowledge of extracting structured outputs from LLMs
Proficiency in programming languages Python
Experience with debugging traces of LLM calls to identify errors/optimizations
Experience using LLM APIs, embedding models, and RAG-based AI architectures
Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience in NLP, Generative AI, or deep learning models
Ability to integrate code into real world application
Understanding AI ethics, bias mitigation, and responsible AI principles
Prior experience in the financial or banking sector is a plus
About Cross River
Our mission is simple: to build the financial infrastructure that expands access and opportunity for all.
In the employer’s words · Read in context
Posting record
Report an errorOpen 6 monthsWe first saw this posting 203 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
- Apr 22, 2026203 days ago
- Recorded sightings
- 149
- Last seen by us
- Nov 11, 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 203
Up longer than most. Similar jobs usually come down between day 8 and day 75.
From 5,220 similar postings that came down. Coming down is not always a hire.
Cross River is hiring
2 open jobs
- No new data jobs since July
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
- SQL
- AWS
- Azure
- Docker
- Kubernetes
- NoSQL
- Spark
- Airflow
- Hugging Face
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
- Experience using LLM APIs, embedding models, and RAG-based AI architectures - Strong skills in Python, AI model deployment, and AWS services (Lambda preferred) - Knowledge of LangChain, Pydantic, and scalable AI workflows
- Minimum 5 years of experience in AI/ML development and data engineering - Proficiency in programming languages Python - Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) - Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses) Preferred Qualifications:
- Engineer and refine prompts to enhance AI performance and output quality - Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures - Ensure AI applications align with ethical standards, data privacy, and real-world scalability
- Expertise in handling large-scale datasets and implementing ETL/ELT pipelines - Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) - Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses)
- Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) - Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar - Expertise in handling large-scale datasets and implementing ETL/ELT pipelines
- Ensure AI applications align with ethical standards, data privacy, and real-world scalability - Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face Requirements:
- Proficiency in programming languages Python - Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) - Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar
Your next step
Complete your application on www.crossriver.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
Who We Are
Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.
Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.
Responsibilities:
- Build complex multi-agent AI agents that are highly scalable
- Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system
- Engineer and refine prompts to enhance AI performance and output quality
- Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures
- Ensure AI applications align with ethical standards, data privacy, and real-world scalability
- Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face
Requirements:
- Work with current state of the art LLMs and embedding models
- Experience building agentic AI systems
- Experience with debugging traces of LLM calls to identify errors/optimizations
- Experience with building Retrieval-Augmented Generation (RAG) systems
- Engineer and refine prompts to enhance AI performance and output quality
- Knowledge of extracting structured outputs from LLMs
- Experience using LLM APIs, embedding models, and RAG-based AI architectures
- Strong skills in Python, AI model deployment, and AWS services (Lambda preferred)
- Knowledge of LangChain, Pydantic, and scalable AI workflows
- Proficiency in prompt engineering and optimization techniques
- Some UI/UX experience is a plus
Qualifications:
- Minimum 5 years of experience in AI/ML development and data engineering
- Proficiency in programming languages Python
- Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar
- Expertise in handling large-scale datasets and implementing ETL/ELT pipelines
- Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes)
- Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses)
Preferred Qualifications:
- Experience in NLP, Generative AI, or deep learning models
- Proven track record of deploying AI solutions at scale
- Research background in generative AI models
- Ability to integrate code into real world application
- Understanding AI ethics, bias mitigation, and responsible AI principles
- Prior experience in the financial or banking sector is a plus
#LI-JJ1 #LI-Onsite
Salary Range: $160,000.00 - $200,000.00
Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
By submitting your application, you give Cross River permission to email, call, or text you using the contact details provided. We will only contact you with job related information.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
#LI-JJ1 #LI-Onsite Salary Range: $160,000.00 - $200,000.00 Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
- Location & working pattern
Fort Lee, New Jersey, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.