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Thought Machine Jobs (NOW HIRING)

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

They offera supportive environment that fosters independent thought in a collegial, results ... Machine Learning Engineers build production grade machine learning algorithms that operate in real ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

They offer a supportive environment that fosters independent thought in a collegial, results ... Machine Learning Engineers build production grade machine learning algorithms that operate in real ...

East West Bank

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 ...

East West Bank

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 ...

Mold-Rite Plastics

Machine Operator

Twinsburg, OH · On-site

$17 - $19/hr

Machine Operator's operate equipment in a manufacturing setting. The Machine Operator aligns with ... thought background and experiences.  We are friendly and lead with a smile. What we do is ...

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Jane Street

Machine Learning Engineer

New York, NY · On-site

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

Jane Street

Machine Learning Engineer

New York, NY

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

Brunswick Corporation

Machine Operator

Stuart, FL · On-site

$17 - $23/hr

All other duties as assigned Diversity of thought and experiences is fundamental when imagining the ... Ability in using tools and machinery * Good understanding of quality control principles * Good ...

AGC Heat Transfer, Inc

Machine Shop Lead

Fairview, OR · On-site

$30 - $32/hr

Machine Shop Lead Reports To: Machine Shop Supervisor FLSA Status: Non-Exempt Can you make the AGC ... Innovative and curious promoting diversity of thought while understanding the needs of the customer ...

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AGC Heat Transfer, Inc

Machine Shop Lead

Fairview, OR · On-site

$30 - $32/hr

Machine Shop Lead Reports To: Machine Shop Supervisor FLSA Status: Non-Exempt Can you make the AGC ... Innovative and curious promoting diversity of thought while understanding the needs of the customer ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

Diversity of thought and cross-department collaboration is very important to us. We deliver open ... About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ...

Cardinal Health

Machine Operator - 3rd shift

Chicopee, MA · On-site

$23.80/hr

May set up machining machines and make adjustments, and perform maintenance on machines. Checks ... Cardinal Health supports an inclusive workplace that values diversity of thought, experience and ...

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How much do thought machine jobs pay per hour?

As of Jul 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 are the key skills and qualifications needed to thrive as a Thought Machine Engineer, and why are they important?

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 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.

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 a Thought Machine and what do they do?

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.
More about Thought Machine jobs
What states have the most Thought Machine jobs? States with the most job openings for Thought Machine jobs include:
What job categories do people searching Thought Machine jobs look for? The top searched job categories for Thought Machine jobs are:
Thought Machine jobs near you
Infographic showing various Thought Machine job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, 22% Part Time, and 5% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.

Machine Learning Engineer

Quanta Search

Manhattan, NY • On-site

Other

Posted 12 days ago

Job description

Our client is a process driven investment management group consisting of a team of researchers, traders and technologists who harness and apply the power of technology and automation to identify, model and trade global financial markets. Thisdivision offers an array of quantitative investment fund products to its clients.
They are seeking candidates with exceptional academic credentials to join theirteam and participate in and support of the firm's efforts in the research, trading and production processes.
They look for candidates who are eager to make an impact by doing real, hands-on research and development. Candidates must possess exceptional knowledge of mathematical and statistical methods as well as a proven ability to solve complex problems. A desire to work with large data sets and apply creative thinking is required. Successful candidates will also have deep interest in learning about trading and the financial markets.
They offera supportive environment that fosters independent thought in a collegial, results oriented, work setting. Researchers and developers there are passionate about their work, model building, data and technology.
You are curious and intellectually driven to succeed. You'll beprovidedwith the tools, resources and training required to satisfy that curiosity and passion, leading them to new insights and discoveries. Theirprocess driven approach enables these insights to be thoroughly tested in a systematic fashion and ultimately, if confirmed, integrated into theportfolio.
Role:
Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud computing. Machine Learning Engineers should be comfortable with data engineering and should have an interest in the data science.
What they will do:
They will be responsible for their production grade signal generation and ML systems. They can act as data scientists, but should be comfortable pushing their algorithms, models, and signals into production.
Minimum Requirements:
  • Strong understanding of statistical analysis and computational modelling.
  • Strong understanding of algorithms and data structures.
  • Familiar with map reduce and big data processing (Spark, Hadoop, DataFlow, etc).
  • TensorFlow (or another GPU integrated deep learning library).
  • Deep understanding of machine learning algorithms.
  • Deep understanding of numerical optimization.
  • Strong understanding of data structures and algorithms.
Plus, but not required:
  • Previous experience in tech industry (GOOG, AMZN, FB, NFLX, Spotify, etc).
  • Experience building industrial grade ETL pipelines.
  • Experience building frontend systems.
  • Familiarity with dashboards and other visualization tools.
  • Ability to derive generalization bounds for common ML algorithms.
  • Experience developing new machine learning algorithms.

Apply