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Thought Machine Jobs (NOW HIRING)

Machine Operator

New Castle, PA · On-site

$15.25 - $18.25/hr

Machine Operator - Loader/Crane Location: New Castle, PA Job Type: Full-Time, non-exempt Here ... We thought you might be! Send us your resume and let us know how you would you make an impact at ...

Machine Operator

New Castle, PA · On-site

$15.25 - $18.25/hr

Machine Operator - Loader/Crane Location: New Castle, PA Job Type: Full-Time, non-exempt Here ... We thought you might be! Send us your resume and let us know how you would you make an impact at ...

Senior Business Analyst

Pasadena, CA · On-site

$130 - $225/hr

Familiarity with enterprise banking technology vendors including FIS, Fiserv, Temenos, Thought Machine, or equivalent platforms preferred. * Strong understanding of regulatory, risk, compliance, and ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... If you've never thought about a career in finance, you're in good company. Many of us were in the ...

Senior Business Analyst

Pasadena, CA · On-site

$100K - $130K/yr

Familiarity with enterprise banking technology vendors including FIS, Fiserv, Temenos, Thought Machine, or equivalent platforms preferred. * Strong understanding of regulatory, risk, compliance, and ...

Familiarity with enterprise banking technology vendors including FIS, Fiserv, Temenos, Thought Machine, or equivalent platforms preferred. * Strong understanding of regulatory, risk, compliance, and ...

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Machine Shop Operations Manager

Manchester, NH · On-site

$70K - $100K/yr (+ commission)

This is a unique opportunity for someone who has thought about running a machine shop someday but wants the benefit of learning an established business alongside an experienced owner. Bring your ...

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Machine Shop Operations Manager

Manchester, NH · On-site

$70K - $100K/yr (+ commission)

This is a unique opportunity for someone who has thought about running a machine shop someday but wants the benefit of learning an established business alongside an experienced owner. Bring your ...

Be Seen First

Machine Shop Operations Manager

Nashua, NH · On-site

$70K - $100K/yr (+ commission)

This is a unique opportunity for someone who has thought about running a machine shop someday but wants the benefit of learning an established business alongside an experienced owner. Bring your ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... About You If you've never thought about a career in finance, you're in good company. Many of us ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... About You If you've never thought about a career in finance, you're in good company. Many of us ...

MSCI is establishing a Machine Learning Center of Excellence within the Research & Development team ... Contribute to thought leadership through research innovation and publishing * Collaborate with ...

Senior Machine Operator

Sussex, WI · On-site

$16.50 - $19.75/hr

Machine Operator IV Location: Sussex, WI N59 W22387 Silver Spring Dr., Sussex, WI 53089 Available ... thought and bringing together other traits and characteristics that make an individual bring a ...

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How much do thought machine jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for thought machine in the United States is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $22.84 per hour, depending on experience, location, and employer.

What is a Thought Machine?

Thought Machine is a technology company that develops core banking software for banks and financial institutions. The company's flagship product, Vault Core, is a cloud-native platform designed to replace traditional legacy banking systems, enabling banks to launch new products and services more quickly and flexibly. Thought Machine's solutions help banks modernize their infrastructure, improve customer experience, and streamline operations.

What are the key skills and qualifications needed to thrive as a Thought Machine engineer?

To thrive as a Thought Machine Engineer, you need a solid background in software engineering, cloud computing, and financial technologies, often supported by a degree in computer science or a related field. Familiarity with Thought Machine’s Vault platform, programming languages like Python or Java, and CI/CD tools is typically required. Strong problem-solving abilities, teamwork, and effective communication skills help you excel in delivering innovative banking solutions. These skills are crucial to ensure the development of robust, scalable, and secure core banking systems for clients.

What types of projects do engineers typically work on at Thought Machine, and how do these projects support the company's mission?

Engineers at Thought Machine often work on developing and maintaining cloud-native core banking platforms, collaborating on initiatives that modernize and transform legacy banking systems. Projects typically involve designing scalable microservices, enhancing security, and integrating with client financial institutions. Team members work in cross-functional squads that include product managers, designers, and other engineers, ensuring diverse perspectives and agile development. This collaborative environment supports rapid innovation and aligns closely with Thought Machine's mission to revolutionize banking technology.

What is the difference between Thought Machine vs Software Engineer?

AspectThought MachineSoftware Engineer
Primary RoleDevelops banking technology solutions, focusing on core banking systems and financial softwareDesigns, develops, tests, and maintains software applications across various industries
Required SkillsFinancial industry knowledge, programming, system architectureProgramming, problem-solving, software development lifecycle
Work EnvironmentFinancial tech companies, banking institutions, fintech firmsTech companies, startups, corporate IT departments
CertificationsTypically not required, but knowledge of banking standards and certifications like CFA can helpComputer science degrees, coding certifications (e.g., Microsoft, AWS)

Thought Machine specializes in banking technology solutions, whereas Software Engineers work across various industries developing software applications. While both roles require programming skills, Thought Machine professionals focus more on financial systems and banking infrastructure, often within fintech or banking institutions. Software Engineers have broader application areas, making the roles distinct yet overlapping in technical skills.

More about Thought Machine jobs

What states have the most Thought Machine jobs?

States with the most job openings for Thought Machine jobs include:

Infographic showing various Thought Machine job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, 1% Temporary, 2% Contract, and 3% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.

Full-time

Posted 3 days ago

New


Job description

Machine Learning Engineer

Newark, New Jersey, United States

Job Description

As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value.

Key Responsibilities

  • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams.
  • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models.
  • Partner with data scientists to understand, implement, train, and design machine learning models.
  • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform.
  • Construct optimized data pipelines to feed machine learning models.
  • Extend existing machine learning libraries and frameworks.
  • Develop processes, model monitoring, and governance framework for successful ML model operationalization.
  • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results.
  • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations.
  • Design and implement the best architectural practices in the delivery of data science use cases.

Key Skills/Knowledge/Experience

  • 7+ years of experience in Machine Learning.
  • Extensive software engineering experience with strong working experience as a Machine Learning Engineer.
  • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred.
  • Advanced proficiency with Python, Java, and Scala.
  • Strong computer science fundamentals such as algorithms, data structures, multithreading.
  • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG.
  • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch
  • In-depth experience building solutions using public clouds such as AWS, GCP.
  • Experience using ML platforms like SageMaker, H2O, DataRobot, etc.
  • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc.
  • Experience managing relationships in a cross-functional environment with multiple stakeholders.
  • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud.
  • Experience working in Agile/ Scrum development process.
  • Thought leadership and innovative thinking.
  • Excellent communication and collaboration skills.

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