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Added 1 min ago
Lead Software Engineer - AI
Humana
Chicago, IL
The Lead Software Engineer codes software applications based on business requirements. The Lead Software Engineer works on problems of diverse scope and complexity ranging from moderate to…
Added 41 mins ago
Software Development Engineer, Fees Tech
Amazon
Seattle, WA
You will work alongside senior and principal engineers, product managers, applied scientists, and ML engineers across the full fee lifecycle - from the Fee Calculation Engine through…
Added 41 mins ago
Software Development Engineer II, Efficiency & Performance, Alloy
Amazon
Seattle, WA
As a Software Development Engineer in Alloy , you will collaborate with service and infrastructure teams across Amazon to identify and eliminate performance bottlenecks in large-scale…
Added 41 mins ago
Electrical Design Engineer
CEL - Critical Power
Williamsburg, VA
The Electrical Design Engineer is accountable for the design, documentation and compliance of electrical systems across CEL's LV switchgear product range, including:
Added 41 mins ago
C-
Electrical Engineer - Power Distribution
CEL - Critical Power
Williamsburg, VA
- $100,000 to $120,000 USD / year
The Electrical Engineer - Power Distribution is accountable for the design, documentation and compliance of electrical systems across CEL's LV switchgear product range, including:
Added 57 mins ago
Senior Supplier Industrialization Engineer, Composite Structures
Anduril Industries
Remote, United States
We're looking for a talented Senior Supplier Industrialization Engineer to own Anduril’s composites supply base, expediting the qualification and implementation of composite structures and…
Added 1 hour ago
Software Engineer, Machine Learning (Technical Leadership) - Ads Products
Meta
Menlo Park, CA
…advertiser-experience opportunities with the models, data, and product systems needed to deliver them, guiding cross-team engineering efforts from technical strategy through measurable…
Added 1 hour ago
Software Engineer, Machine Learning - Ads Products
Meta
Menlo Park, CA
…the org where advertiser value is won or lost.As a Software Engineer, Machine Learning in Ads Products, you will lead complex engineering projects that turn ML capabilities into useful…
Added 1 hour ago
Software Engineer, Product - Ads Products
Meta
Menlo Park, CA
…the org where advertiser value is won or lost.As a Software Engineer, Product in Ads Products, you will lead complex engineering projects that help advertisers plan, create, and manage…
Added 1 hour ago
Software Development Engineer, PXT Central Science
Amazon
San Francisco, CA · Sunnyvale, CA
As a Software Development Engineer on PXTCS, you'll work side by side with economists, data scientists, data engineers, and applied scientists turning leading-edge ML and Generative AI…
Added 1 hour ago
RU
PreSales Engineer Director - Data and AI Applications (Location Flexible)
RSM US LLP
Denver, CO
- $147,000 to $260,700 USD / year
RSM US LLP is looking for a dynamic Pre-Sales Engineer (PSE) Director that will have a primary focus on facilitating the growth of our consulting practice.
Added 1 hour ago
TT
Software Engineer
True Talent Solutions Partners
New York, NY
- $192,500 to $258,000 USD / year
- Build and ship high-quality product features and end-to-end workflows.
Added 1 hour ago
TT
Senior Full-Stack Engineer
True Talent Solutions Partners
Remote, United States
- $200,000 to $275,000 USD / year
…backend-focused role combines architecture, hands-on development, and product collaboration to deliver reliable customer-facing…
Added 1 hour ago
Forward Deployed Engineer
True Talent Solutions Partners
Remote, United States
- Document reusable deployment patterns and share recurring customer needs with Product and Engineering.
Added 1 hour ago
Senior Machine Learning Engineer
Canopy
Remote, United States
As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you’ll contribute to the development of cutting-edge AI solutions to…
Added 1 hour ago
C
Mid-Level AI Engineer
Clera
San Francisco, CA
- $150,000 to $180,000 USD / year
Join the core product team at a pre-seed B2B SaaS company building agentic systems to automate complex workflows across enterprise and regulated industries. You will build and operate…
Added 2 hours ago
Forward Deployed Engineer
Clera
Remote, United States
…UK and Europe. You will connect customer environments with product and engineering teams, taking technical proofs of value from discovery through production…
Added 2 hours ago
Engineering Manager
Basis LLC
NEW YORK, NY
Added 2 hours ago
V
Staff Software Engineer Backend
Veritone
NEW YORK, NY
- $185,000 to $200,000 USD / year
Added 2 hours ago
S
Principal or Staff Product Security Engineer
Skylight
Remote, United States
- $200,000 to $250,000 USD / year
…millions of families (plus Wired and the Wirecutter). Our latest product is Calendar 2, which just launched to rave…
Added 2 hours ago
Senior MLOps Engineer
C the Signs
Remote, United States
We’re hiring a Senior MLOps Engineer with deep machine learning engineering experience to build and operate the production platform powering ML/LLM-driven healthcare workflows. You’ll…
Added 3 hours ago
ES
Lead GIS Solution Engineer - Defense
Environmental Systems Research Institute Inc.
Louisville, CO
- $120,016 to $201,344 USD / year
Esri is seeking a lead GIS Solution Engineer to serve as a technical leader and trusted advisor to Defense and Intelligence organizations. You will bring deep ArcGIS expertise, mission…
Added 3 hours ago
Senior Frontend Software Engineer
Raydar
New York, NY
…shaped by direct feedback from internal users and a growing product…
Added 3 hours ago
Cloud Adoption Engineer - Oracle Government, Defense & Intelligence
Oracle
Reston, VA · Washington, DC
Cloud Adoption Engineer - Oracle Government, Defense & Intelligence
Added 3 hours ago
Software Engineer 3
Kiewit
Lenexa, KS
TAG is hiring Software Engineer to help design and deliver AI-powered enterprise applications across Kiewit’s district portfolio. This role is ideal for a developer who has outgrown pure…

Closed listing

FIS Global

Engineer Sr Lead, Artificial Intelligence / Machine Learning

New York, NY, United States

The pay range for this full-time position is $173,680.00 - $295,250.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location.

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: The pay range for this full-time position is $173,680.00 - $295,250.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location.
Experience: 4+ years of experience building and deploying machine learning models in production.
Posting language: English
Posted: Nov 4, 2026

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Original job description

Archived listing. The details below describe a past opening.

Position Type :

Full time Type Of Hire :

Experienced (relevant combo of work and education)

Job Description

Every day at FIS, innovators, problem solvers and changemakers work together to create technology that advances the world of finance. We embrace new ideas, challenge what's possible and empower our teams to make a lasting impact. If you're ready to help shape the future of fintech, unlock your next chapter with FIS.

About the Role:

FIS's AI Platform organization builds the models, infrastructure, and practices that help teams across FIS bring AI into production safely and at scale. We are looking for a Software Machine Learning Engineer to build domain-specific foundation and embedding models for financial data. These models learn useful representations from large volumes of financial activity, and many products and teams can reuse them across a range of use cases.

You will work across the full model lifecycle: data preparation, pretraining, fine-tuning, evaluation, and packaging models so other teams can use them. You will work with platform, data, and product engineering teams to turn research into reliable, well-governed models in production.

What You Will Do:

Build and improve deep learning models on large-scale financial data, including sequence modeling, pretraining, and fine-tuning of transformer-based models.
Produce reusable, versioned embeddings and model artifacts that downstream teams can easily use.
Design models that generalize across tasks and datasets, and measure how well they perform on downstream problems.
Work with data and infrastructure engineers on training pipelines, data lineage, and reproducible experiments.
Work with serving engineers to optimize models for efficient, low-latency inference.
Build sound evaluation into the workflow, including time-based testing and imbalanced or delayed labels.
Support product and engineering teams as they integrate models, with clear documentation and interfaces.
Balance model quality against compute cost, and report results in terms of business impact.
Work with risk and governance partners so models are explainable, well documented, and meet regulatory expectations.

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
4+ years of experience building and deploying machine learning models in production.
Strong programming skills in Python and experience with modern deep learning tools such as PyTorch.
Hands-on experience pretraining, training, or fine-tuning transformer or other deep learning models on GPUs.
Experience working with large datasets and ML pipelines on cloud platforms (AWS, Azure, or GCP), with tools such as Spark, Snowflake, or Databricks.
Solid ML fundamentals, including representation learning, offline evaluation, handling imbalanced data, and choosing the right metrics.
Good engineering habits: version control, testing, reproducible experiments, and code that others can build on.
Ability to explain technical results clearly to non-technical audiences.
Strong collaboration skills and comfort working across engineering, product, and risk teams.

Preferred Qualifications:

Experience with sequence modeling, self-supervised learning, or embedding models for tabular or event data.
Experience with financial services or payments data.
Experience with distributed training and GPU-accelerated ML frameworks.
Experience with inference optimization (quantization, distillation, batching) or real-time ML systems.
Experience with MLflow, model registries, feature stores, or other MLOps tools.
Experience working in a regulated environment, including model risk management and model documentation.

What Success Looks Like:

High-quality, reusable models that perform well across more than one downstream task.
Reproducible, well-documented models and artifacts that pass internal review.
Models adopted by product teams in production, with measurable improvement over existing approaches.
Strong working relationships across platform, data, product, and risk teams.

Why Join Us? You will help build core AI capabilities at one of the world's largest fintech companies, with work that reaches financial institutions and the people they serve. You will work with experienced ML engineers, platform engineers, and data scientists.

What We Offer you:

At FIS, you can grow your career as far as you want to take it. Here’s what else we offer:

Opportunities to make an impact in fintech
Personal and professional learning
Inclusive, diverse work environment
Resources to give back to your community
Competitive salary and benefits

FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $173,680.00 - $295,250.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process.Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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