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Reason Ml Jobs (NOW HIRING)

femtoAI

ML Compiler Engineer

San Bruno, CA · On-site

You will work on a custom ML compiler that transforms modern ML and DSP models into highly ... Ability to reason about correctness and performance tradeoffs Nice to have: * Experience with ...

SOSi

ML Administrator

SOSi is seeking an ML Administrator to support mission requirements for a structured approach to ... reason.

SOSi

ML Administrator

SOSi is seeking an ML Administrator to support mission requirements for a structured approach to ... reason.

zaimler

MLE, ML Platform

San Mateo, CA

About zaimler AI agents can't reason over data they don't understand. Enterprise data today is ... About the Role You'll join our ML team focused on turning raw enterprise data into structured ...

zaimler

MLE, ML Platform

San Mateo, CA · On-site

About zaimler AI agents can't reason over data they don't understand. Enterprise data today is ... About the Role You'll join our ML team focused on turning raw enterprise data into structured ...

zaimler

MLE, ML Platform

San Mateo, CA

About zaimler AI agents can't reason over data they don't understand. Enterprise data today is ... About the Role You'll join our ML team focused on turning raw enterprise data into structured ...

The Bot Company

ML Compiler

San Francisco, CA · On-site

$200K - $350K/yr

Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains ... ML Compiler Engineer As an expert in building ML compilers for edge devices (custom silicon or ...

Artian AI

Software Engineer - AI/ML

New York, NY · On-site

$125K - $150K/yr

You will work on the systems that enable AI agents to understand complex workflows, reason over ... Build and improve AI/ML components that power autonomous enterprise workflows. * Work with large ...

Sigma Computing

Staff AI/ML Engineer

San Francisco, CA · On-site

$240K - $270K/yr

As an AI/ML Engineer, you'll join a growing team focused on building the AI foundation that will ... You've built agents that can plan, reason, and use tools * You know your way around cloud ...

Sigma Computing

Senior AI/ML Engineer

New York, NY · On-site

$240K - $270K/yr

As an AI/ML Engineer, you'll join a growing team focused on building the AI foundation that will ... You've built agents that can plan, reason, and use tools * You know your way around cloud ...

Sigma Computing

Staff AI/ML Engineer

New York, NY · On-site

$240K - $270K/yr

As an AI/ML Engineer, you'll join a growing team focused on building the AI foundation that will ... You've built agents that can plan, reason, and use tools * You know your way around cloud ...

Sigma Computing

Senior AI/ML Engineer

San Francisco, CA · On-site

$240K - $270K/yr

As an AI/ML Engineer, you'll join a growing team focused on building the AI foundation that will ... You've built agents that can plan, reason, and use tools * You know your way around cloud ...

Adaptive ML

Customer Success Engineer

Manhattan, NY · On-site

Adaptive ML is a frontier AI startup focused on building a Reinforcement Learning Operations ... reason about TCO trade-offs, and produce architecture diagrams that a CTO would trust. • Skilled ...

Confido

Staff ML / AI Engineer

New York, NY · On-site

$300K - $350K/yr

As a Staff AI / ML Engineer , you will define and build the core AI systems behind the platform ... Develop agentic systems that retrieve and reason over data across fragmented enterprise systems

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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.

ML Compiler Engineer

femtoAI

San Bruno, CA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 24 days ago

Job description

Job Description
You will work on a custom ML compiler that transforms modern ML and DSP models into highly efficient programs for our accelerator.
This role spans the full compiler stack-from ingesting models and transforming intermediate representations to optimizing execution under tight memory and latency constraints.
What You'll Do
  • Build and maintain model ingestion pipelines (e.g., PyTorch / ONNX → internal IR)
  • Implement graph transformations such as:
    • Operator decomposition and canonicalization
    • Shape inference and layout transformations
  • Develop and extend intermediate representations (e.g., MLIR)
  • Implement optimization passes including:
    • Operator fusion and graph partitioning
    • Basic scheduling and tiling strategies
    • Memory planning and reuse
  • Debug correctness and numerical issues across transformations
  • Collaborate with hardware and ML teams to improve system performance

Requirements
Required qualifications and experience:
  • 2+ years of experience in compilers and/or edge-AI
  • Proficiency in Python and/or C++
  • Experience with at least one:
  • MLIR, LLVM, TVM, XLA, or similar
  • Graph-level transformations or ML model internals
  • Understanding of deep learning models (conv, sequence models, etc.)
  • Ability to reason about correctness and performance tradeoffs

Nice to have:
  • Experience with optimization techniques (tiling, scheduling, memory reuse)
  • Familiarity with ONNX or PyTorch internals
  • Exposure to quantization or low-precision computation
  • Interest in hardware-aware ML systems

Benefits
  • 401(k)
  • Medical insurance
  • Vision insurance
  • Dental insurance
  • Commuter benefits
  • Disability insurance
  • Paid maternity leave
  • Paid paternity leave
  • Child care support

femtoAI is an equal opportunity employer committed to a diverse workforce which strives to create an inclusive working environment empowering everyone to do their best work. We do not discriminate on the basis of race, ethnicity, religion, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

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