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Senior Machine Learning Engineer (Growth)
Discord
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We're looking for a Senior Machine Learning Engineer to join our Engagement ML team, working as part of the cross-functional Onboarding squad in Discord's Growth organization. You'll design…
Added 1 min ago
Engineer- Controls II USA
LED FastStart
New Iberia, LA
Good understanding/knowledge programming Rockwell Automation Human Machine Interfaces (HMI) including PanelView Plus, PanelView Plus CE, and RSView SE.
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NC Engineer III
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Conduct a thorough analysis of engineering drawings, tool design drawings, and/or electronic models, to determine the optimal machining methods, selection of machine tool, and material cut…
Added 3 mins ago
Commissioning Field Engineer - Low Voltage/I&C
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Boise, ID · ID · Hauser, ID · Kuna, ID · Moscow, ID · Post Falls, ID · Lewiston Orchards, ID
Position Summary: The Low Voltage/I&C Field Engineer will work within the Commissioning department and will report to Commissioning Manager. They will work closely with design…
Added 4 mins ago
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Quality Engineer
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- $40 to $50 USD / hour
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Controls Engineer
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Battle Creek, MI
- $43.27 to $48.07 USD / hour
…concepting, and quoting new automated equipment for the facility. The engineer is responsible for the entire project lifecycle, from initial design and development through commissioning,…
Added 4 mins ago
Electrical Engineer
Actalent
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The Electrical Engineer is responsible for designing and implementing electrical control systems for custom automation projects. This role involves planning, executing, and supporting…
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Ehs Engineer
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- $36 to $44 USD / hour
- Experience and working knowledge of EHS regulations and industry standards, including LOTO, machine safety, ergonomics, chemical safety, and Biosafety Level 2 requirements.
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Hardware/Software Modeling and Validation Engineer
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…model new and emerging use cases in graphics, games, media, and machine learning on devices that range from Apple Watch, iPhone, iPad, Apple Vision Pro and Mac to the data center. These…
Added 7 mins ago
Hardware/Software Modeling and Validation Engineer
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…model new and emerging use cases in graphics, games, media, and machine learning on devices that range from Apple Watch, iPhone, iPad, Apple Vision Pro and Mac to the data center. These…
Added 8 mins ago
Field Engineer
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…Southeast, is seeking qualified candidates for the position of Field Engineer. We are currently seeking someone who is willing to work in Tampa,…
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GIS Solution Engineer – Local Government (Southeast)
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Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non-technical customers. Provide best practices…
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IT Infrastructure & Systems Engineer
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…space. We are seeking a hands-on IT Infrastructure & Systems Engineer to support enterprise systems, network operations, cybersecurity tools, end-user technology, and IT projects. As…
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Senior Software Engineer
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- $170,220 USD / year
Senior Software Engineer, Unity Technologies SF, Bellevue, WA. Design, implement, test, review and maintain Unity’s Monetization platform, product, and services to enable developers to…
Added 13 mins ago
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Lead AI/ML Engineer in Minneapolis, MN or Chicago, IL
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Minneapolis, MN · Chicago, IL
- $145,500 to $249,500 USD / year
The Platform, AI & Integration (PAII) team leads the design, delivery, and enterprise integration of AI/ML capabilities across our Cloud Platform. In this role, you will serve as a primary…
Added 14 mins ago
Senior AI/ML Engineer | Data Science
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Manufacturing Plant Engineer
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Join Trane Technologies as a Manufacturing Engineer in McGregor, TX! In this role, you will operate innovative engineered systems and develop, coordinate, and implement sustainable…
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Staff Software Engineer, Cortex AI Functions
Snowflake
Bellevue, WA
- $236,000 to $339,200 USD / year
- 8+ years of relevant experience in software engineering, applied machine learning, or database systems, including independently leading multi-engineer projects from definition through…
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Data Engineer 5, Insights Platform
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Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
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Architect Associate
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Principal Structural Engineer
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- $100 to $120 USD / hour
This role serves as a recognized structural subject matter expert responsible for leading dynamic analysis and machine foundation design for power generation and heavy industrial…
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Digital Technology Specialist - Data and Analytics
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This Senior AI/ML Engineer role is part of the Data, Analytics & AI team, responsible for developing innovative data-driven products and artificial intelligence solutions that power the…
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Jr OT Cybersecurity Engineer
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As a Junior OT/ICS Cybersecurity Engineer, you’ll support the assessment, design, implementation, and maintenance of cybersecurity solutions for industrial environments. Working with…
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AR/VR Interaction Designer
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As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies - like machine learning and AI - to craft novel software solutions that solve our customers’…
Added 18 mins ago
Management Consultant - Data Engineer
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Austin, TX · Houston, TX · Irving, TX · Dallas, TX
As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This…

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.

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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

Original job description

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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