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Machine Learning Validation Engineer Jobs (NOW HIRING)

You'll help build high-quality datasets, strengthen data integrity, validate model results, and ... Partner with machine learning and software engineering teams to productionize, deploy, and monitor ...

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... Work directly with customers and partner labs to deploy, validate, and iterate on ML solutions in ...

REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine ... You will develop and validate models, review analytical workflows, and provide expert guidance to ...

You'll help build high-quality datasets, strengthen data integrity, validate model results, and ... Partner with machine learning and software engineering teams to productionize, deploy, and monitor ...

Validation Engineer

Belvidere, IL · On-site

$73K - $95K/yr

Validation Engineer Haumiller Engineering is a 100% employee-owned company that designs and builds custom high-speed automation assembly machines for medical devices, consumer goods and industrial ...

$150 - $200/hr

... Engineer to join our Independent Verification and Validation (IV&V) and Data Curation Center of ... This team serves as the foundation for effective machine learning--building, curating, and ...

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... Must be based in the United States and possess valid work authorization. * Strong proficiency in ...

As a Machine Learning Engineer, you will work within a collaborative technical team to build ... validation, deployment, monitoring, and retraining. - Collaborate with data scientists and ...

... validation, ROC curves, confusion matrices) • Knowledge of classical machine learning (e.g ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...

NY · On-site

$100 - $125/hr

Develop and validate machine learning models for financial time series and cross‑sectional data * Conduct research on alpha signals, feature engineering, and predictive modelling techniques

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How much do machine learning validation engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for machine learning validation engineer in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What cities are hiring for Machine Learning Validation Engineer jobs?

Cities with the most Machine Learning Validation Engineer job openings:

What are popular job titles related to Machine Learning Validation Engineer jobs?

For Machine Learning Validation Engineer jobs, the most frequently searched job titles are:

Post-Silicon Systems Software Validation Engineer

Cupertino, CA • On-site

Siri InfoSolutions Inc
IT Services • 201 - 500 employees

Contractor

Re-posted 9 days ago


Job description

Role: Post-Silicon Systems Software Validation Engineer

Location: Cupertino, CA and Austin TX (Preferred) Day-1 Onsite

Experience: 8+ Years

What You'll Be Doing:

As a Senior Validation Engineer on our Machine Learning Acceleration team to work —from early design validation through emulation, silicon bring-up, post-silicon validation, and ongoing support of production systems deployed in AWS data centers. You'll collaborate deeply with architecture, RTL design, design verification, firmware, and software teams to ensure our next-generation AI/ML accelerators meet the highest standards of quality and performance. This role requires bridging multiple

domains and broad scope of impact—from low-level hardware interfaces to high-level ML workloads—to deliver exceptional results.

A day in the life

  • Developing comprehensive validation strategies and leads new methodologies to improve validation coverage and time to root cause.
  • Role models detailed test plans covering functional, performance, power, and stress testing from silicon bring-up to product release
  • Mentors and provides direction to junior validation engineers
  • Executes complex test plans from RTL simulation and emulation environments through physical silicon validation
  • Handing complex debug including hands-on silicon bring-up and debug in the lab using oscilloscopes, logic analyzers, and protocol analyzers
  • Validating ML accelerator performance, accuracy, and reliability using real-world neural network workloads
  • Building test infrastructure, CI/CD, and automated regression frameworks to enable efficient validation at scale
  • Collaborating across architecture, design, firmware, and software teams to triage failures and drive root cause analysis to closure
  • Reviewing test results, identifying patterns, and providing feedback to improve design quality and validation coverage
  • Delivering new tests to production systems in AWS data centers and manufacturing to improve fleet health

What We Are Looking For:

  • Strong programming skills (Python, Lua, C/C++, Rust, Go, etc)
  • A solid understanding of computer architecture and chip/system validation methodologies
  • Experience with cloud infrastructure and CI/CD
  • Firmware testing and/or development (BIOS, BMC, drivers)
  • Domain expertise in any of these areas: PCIe, HBM, GPUs, neural networks, ML HW architecture
  • Knowledge of the full validation lifecycle from RTL simulation (SystemVerilog/UVM, VCS, Questa,
  • Xcelium) and emulation (Palladium, Zebu, Veloce) through silicon failure analysis and debug
  • 5+ years of programming with at least one software programming language experience
  • Bachelor's degree or above in computer science, computer engineering, or related field, or Bachelor's degree
  • 5+ years of non-internship system test development, code reviews, source control management, build processes, automated deployments, and operations experience.
  • Experience with Linux environments and Git.
  • Experience with server hardware and debug tools
  • Experience with Machine Learning Hardware/Software Architecture
  • Experience with CI/CD
  • Experience with EDA Simulations or Emulation

Siri Infosolutions logo

About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005