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Seasonal Machine Learning Architect Jobs (NOW HIRING)

Compunnel

Machine Learning Engineer

Plano, TX · On-site

Build and optimize ML-ready data pipelines and data architectures using Medallion Architecture ... Design and implement machine learning pipelines using Azure Databricks and related cloud ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... learning architecture design to training dynamics and execution strategy. Your innovations will ...

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How much do seasonal machine learning architect jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for seasonal machine learning architect in the United States is $60.22, according to ZipRecruiter salary data. Most workers in this role earn between $59.38 and $68.99 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Machine Learning Architect jobs? The most popular types of Machine Learning Architect jobs are:
Seasonal Machine Learning Architect jobs near you

Machine Learning System Software Architect

Baidu USA

Sunnyvale, CA

Other

Posted 9 days ago

Job description

Do you want to be part of the AI revolution? Do you want to think out of the box, thriving on challenges in AI industry and the desire to solve them? Do you want to work with a world-class team to explore the fast-growing AI hardware opportunities and impact on AI industry?

We're looking forward to you joining us to collaborate, contribute, and revolutionize AI silicon and system.

Description

We are looking for a world-class Machine Learning System Software Architect to join our SoC team at Baidu's Sunnyvale office. The successful candidate will be a motivated self-starter who will thrive in this highly technical environment. Your job responsibilities as a Machine Learning System Software Architect will help the team to architect and create high-performance machine learning system software and build the distributed AI training system by connecting thousands of Kunlun Accelerators and servers.

Create differentiated architectural innovations for Baidu's Kunlun AI SoC roadmap. Architect, simulate, and design amazing machine learning solutions for our AI machine learning products.

Develop system-level ML architectures that push the boundaries of performance, power, and latency; and collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance.

Monitor industrial and academic trends in artificial intelligence and determine where they should intersect our roadmaps. Drive partnerships for access to the most advanced AI technologies

Evaluate the power, performance, and cost of prospective architecture and subsystems. Build scalable tools for modeling and performance evaluation.

Engage with system and application software engineers to ensure optimization of the entire hardware/software stack.

Work with SoC design, verification, and validation engineers to execute the architecture.

Qualifications

  • Knowledge of Machine Learning market, technological and business trends, software ecosystem, and emerging applications.
  • Proven track record of 5+ years architecting software solutions for Machine Learning, acceleration and optimization, especially in large distributed training system and HPC area.
  • Experience with deep learning frameworks: TensorFlow/PyTorch/PaddlePaddle, etc.
  • Strong track record of outreach to ML researchers and application developers.
  • Experience with CPUs, GPUs, memory systems, and accelerators.
  • Experience with performance simulation and modeling in C++
  • MS or PhD in Electrical or Computer Engineering.
  • Excellent communication skills in both English and Chinese.

Culture Fit:

  • Mission alignment: If you want to be part of a team to accomplish this great mission, we will provide you the best possible platform to do that.
  • Self-directed: We work best with people that are driven, motivated, and aspire to greatness.
  • Hungry to learn: We are eager to see you learn new skills and grow.
  • Team orientation: We work in small, fast-moving teams. We watch out for each other and go after big goals together as a team.

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