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Reason Ml Jobs (NOW HIRING)

Confido

Senior ML / AI Engineer

New York, NY · On-site

$210K - $280K/yr

As a Senior AI / ML Engineer , you will help build the core AI systems powering the Confido ... Develop agentic workflows that retrieve and reason over fragmented enterprise systems * Build ...

Sandstone

AI & ML Engineer

New York, NY · On-site

$225K - $300K/yr

As an AI & ML Engineer, you will build the systems that make that possible: agents that reason over contracts and business context, retrieval systems that surface the right precedent, document ...

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Artian AI

Senior Software Engineer - AI/ML

New York, NY · On-site

$150K - $200K/yr

About the Role Artian AI is looking for a Senior Software Engineer - AI/ML to lead development of ... Strong system-design skills and the ability to reason about tradeoffs across accuracy, latency ...

Jaggaer

AI/ML Intern

Durham, NC · On-site +1

$14.50 - $19.25/hr

As an AI/ML Intern, we expect you will learn about JAGGAER's business, our customers, and our ... plan, reason, and execute multi-step tasks within our procurement platform. • Evaluate and ...

Jaggaer

AI/ML Intern

Durham, NC

... plan, reason, and execute multi-step tasks within our procurement platform. · Evaluate and ... Science, AI/ML, Data Science, or a related field. · Strong programming skills in Python ...

Jaggaer

AI/ML Intern

Durham, NC

$14.50 - $19.25/hr

As an AI/ML Intern, we expect you will learn about JAGGAER's business, our customers, and our ... Prototype and build agentic AI workflows that autonomously plan, reason, and execute multi-step ...

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How much do reason ml jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for reason ml in the United States is $30.58, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $38.46 per hour, depending on experience, location, and employer.

What is a Reason ML developer?

A Reason ML developer is a programmer who specializes in using Reason, a syntax extension and toolchain built on top of OCaml that offers a JavaScript-like syntax. Reason ML is designed to make OCaml more accessible to web developers, enabling them to write type-safe, fast, and reliable code. These developers often work on web applications, front-end frameworks like React (via ReasonReact), or backend systems using OCaml's robust type system. They are skilled in functional programming concepts and are familiar with JavaScript interoperability, making them valuable for projects that require both safety and performance.

How does a Machine Learning Engineer at Reason typically collaborate with software developers and data scientists within project teams?

Machine Learning Engineers at Reason frequently work in cross-functional teams, collaborating closely with software developers and data scientists. They are responsible for translating data science prototypes into scalable machine learning solutions and integrating them into production systems. Regular communication is essential to align on data requirements, model performance, and deployment strategies. Additionally, ML Engineers may participate in code reviews, sprint planning, and troubleshooting sessions, facilitating a seamless workflow across disciplines.

What is the difference between Reason ML vs ReasonML?

AspectReason MLReasonML
Language TypeFunctional programming language for theorem proving and formal verificationJavaScript syntax wrapper for ReasonML, a syntax extension for OCaml
Use CaseFormal verification, theorem proving, academic researchWeb development, front-end applications, React integration
Work EnvironmentResearch labs, academic institutions, specialized software developmentWeb development teams, startups, companies using React
CertificationsNone specific, academic credentials often relevantNone, but familiarity with OCaml/JavaScript helpful

Reason ML is a formal language used mainly in academic and research settings for theorem proving, while ReasonML is a syntax extension for OCaml aimed at web developers working with JavaScript and React. They serve different purposes but share some language roots, making them distinct in application and environment.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a strong background in mathematics, programming (such as Python or R), and experience with machine learning algorithms, often backed by a degree in computer science or a related field. Familiarity with frameworks and tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms is essential, as are relevant certifications. Strong problem-solving abilities, communication, and teamwork skills help you effectively translate business needs into technical solutions. These skills are crucial for developing accurate, scalable models and collaborating with stakeholders to drive impactful data-driven results.
Infographic showing various Reason Ml job openings in the United States as of May 2026, with employment types broken down into 11% Internship, 78% Full Time, and 11% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $63,611 per year, or $30.6 per hour.

Senior ML / AI Engineer

Confido

New York, NY • On-site

$210K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Confido is the AI infrastructure powering CPG brands from deduction to production plan. We unify cash application, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics in one integrated platform. The result: measurable time savings, smarter top- and bottom-line decisions, and the speed to scale.
Confido is trusted by 200+ brands managing $20B+ in revenue, including OLIPOP, Simple Mills, Dr. Squatch, Tropicana, and more.
We've achieved best-in-class growth and recently raised a $15M Series A led by Footwork Ventures and Y Combinator to accelerate our momentum.
As a Senior AI / ML Engineer, you will help build the core AI systems powering the Confido platform-from LLM-powered document understanding to predictive models that help brands make better decisions.
You'll work closely with engineering and product to bring AI capabilities from research to production.
Location: New York, NY (Relocation supported)
What You'll Do
  • Own the AI/ML lifecycle: research → prototyping → production deployment → monitoring
  • Build systems that extract structured data from complex financial documents
  • Develop agentic workflows that retrieve and reason over fragmented enterprise systems
  • Build predictive models to forecast brand sales and financial performance
  • Detect anomalies in retailer and sales data
  • Develop recommendation systems that optimize retailer promotions
  • Partner with engineering and product to integrate AI capabilities into the platform

Example Problems
  • AI-powered ingestion of invoices, deductions, and retailer reports
  • Agent workflows that retrieve data from legacy systems
  • Sales forecasting models for large CPG brands
  • Anomaly detection across retailer performance data
  • Promotion optimization models

What We're Looking For
Required
  • 2+ years of applied AI / ML experience
  • 6+ years of production-level software engineering experience
  • Experience building and deploying production ML systems
  • Experience working with LLMs or NLP systems
  • Strong product mindset and ability to translate AI capabilities into real-world applications

Nice to Have
  • Experience fine-tuning LLMs (Llama, GPT, etc.)
  • Experience building agentic workflows or retrieval systems
  • Startup experience or comfort working in fast-moving environments

Perks + Benefits
  • Equity
  • Paid Relocation
  • Unlimited PTO
  • 401(K) through Vestwell
  • Provided MacBook
  • Fully Paid Health, Dental, and Vision plans
  • Catered Lunches on Fridays
  • Nightly Team Dinners for those staying past 6:30pm
  • Unlimited coffee and snacks featuring our brands

Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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