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Internship Machine Learning Architect Jobs (NOW HIRING)

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

You'll focus on machine learning architectural design, develop and review model and application ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

You'll focus on machine learning architectural design, develop and review model and application ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

New

Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

You'll focus on machine learning architectural design, develop and review model and application ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

You'll focus on machine learning architectural design, develop and review model and application ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

You'll focus on machine learning architectural design, develop and review model and application ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

You'll focus on machine learning architectural design, develop and review model and application ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

You'll focus on machine learning architectural design, develop and review model and application ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

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Internship Machine Learning Architect information

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$25.5K

$42.6K

$88K

How much do internship machine learning architect jobs pay per year?

As of Jul 10, 2026, the average yearly pay for internship machine learning architect in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Internship Machine Learning Architect jobs? Cities with the most Internship Machine Learning Architect job openings:
What are the most commonly searched types of Machine Learning Architect jobs? The most popular types of Machine Learning Architect jobs are:
What states have the most Internship Machine Learning Architect jobs? States with the most job openings for Internship Machine Learning Architect jobs include:

Machine Learning System Software Architect

Baidu USA

Sunnyvale, CA • On-site

Other

Re-posted 29 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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