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Machine Learning Performance Engineer Jobs (NOW HIRING)

Anthropic

Performance Engineer

San Francisco, CA

Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then ...

H R PUNDITS INC

SAP Performance Engineer

Austin, TX · On-site

SAP Performance Engineer Location: Austin, TX (Day 1 onsite) * Responsibilities: * Define, develop ... Agile/Scrum experience, Cloud platforms (AWS, GCP), SAP BTP optimization, machine learning, Git.

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Machine Learning Performance Engineer information

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

As of Jul 8, 2026, the average hourly pay for machine learning performance engineer in the United States is $60.11, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.03 per hour, depending on experience, location, and employer.

Machine Learning Performance Engineer

Optiver

New York, NY • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Optiver is a seeking a Machine Learning Performance Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine Learning infrastructure, training, and inference challenges to advance our futures trading strategies.

What you'll do:

  • Build scalable and robust training and inference pipelines for deep learning
  • Dive into internals of open-source deep learning frameworks and enhance their functionality
  • Identify and eliminate performance bottlenecks
  • Collaborate closely with researchers and other engineers
  • Develop an in-depth understanding of trading systems

What you'll get:

You'll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you'll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you'll receive:

  • The opportunity to work alongside best-in-class professionals from over 40 different countries
  • A highly competitive compensation package
  • Global profit-sharing pool and performance-based bonus structure
  • 401(k) match up to 50%
  • Comprehensive health, mental, dental, vision, disability, and life coverage
  • 25 paid vacation days alongside market holidays
  • Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are: 

  • Strong knowledge of low-level GPU programming with CUDA, including Tensor Cores, cooperative groups, graphs, and warp-level intrinsics
  • Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.
  • Deep understanding of computer architecture
  • Experience in C++ and Python

Nice to have:

  • Experience with JAX ecosystem (XLA, Flax, etc.)
  • Familiarity with GPU libraries and tools such as Triton, CUB, cuDNN, and cuBLAS
  • Linux system programming experience
  • Experience with large-scale distributed training
  • Contributions to open-source projects related to data science and machine learning

Who we are:

Optiver is a tech-driven trading firm and leading global market maker. As one of the oldest market making institutions, we are a trusted partner of 70+ exchanges across the globe. Our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

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