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Machine Learning Engineer
Optiver Austin, TX
Apply
$112k-134k (estimate)
Full Time 1 Day Ago
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Optiver is Hiring a Machine Learning Engineer Near Austin, TX

Our Software Engineers build proprietary trading systems which directly impact the financial markets. Our software engineering teams leverage technology to solve a variety of difficult problems.

Our trading strategies must respond to market events in microseconds or less, and we automatically price large, diverse sets of financial instruments with extremely low error tolerance. We continually refine, store, and analyze terabytes of data produced by market activity and our trading systems. Our user interfaces must present coherent, responsive real-time visualizations of market activity and system performance while providing intuitive control of a highly complex system. Our core systems must provide a stable, performant, and trusted foundation on which our systems are built.

Technology at Optiver:

At Optiver we pride ourselves on being real engineers, not just coders. Our engineers work closely with traders to identify the business problems we face and determine how they should be solved. We apply a disciplined and scientific approach. We engineer simple, well-architected solutions that meet the dynamic needs of our traders. Our passion is to solve problems which really matter to the business, and we take pride in the quality of our solutions.

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.

Based in The Domain neighborhood, Optivers Austin office serves as the firms innovation nucleus, with a strong focus on quantitative research, software and hardware engineering initiatives. With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing. Whats more, with world-class music, food and art scenes, as well as countless scenic outdoor activities, the quality of life for Austin Optiverians is second to none.

What you'll do:

  • Build and support deep learning models at scale
  • Design and implement optimized machine learning solutions that span across infrastructure and application code
  • Dive into internals of open-source machine learning frameworks to enhance their functionality
  • Collaborate deeply with traders, researchers, and other engineers
  • Gain and develop an in-depth understanding of trading theory and practice

What youll need:

  • 5 years of experience in performance optimization of machine learning model training and inference
  • Experience writing software in Python and a statically typed language, preferably C/C
  • Experience with distributed training techniques for machine learning models, leveraging deep learning frameworks such as TensorFlow, PyTorch, or JAX to accelerate model training and handle large datasets efficiently
  • Experience with GPU/TPU programming (CUDA, Triton, etc.)
  • Ability to lead large scale projects
  • Ability to collaborate with developers and traders

What youll get:

  • Work alongside best-in-class professionals from over 40 different countries.
  • Performance based bonus structure that is unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool fostering a truly collaborative environment to work in.
  • Ownership over initiatives that directly solve business problems.

Alongside this you will get great other benefits such as 25 paid vacation days and market holidays, fully paid health insurance, daily breakfast and lunch, training opportunities, 401(k) match up to 50% and charitable match opportunities, regular social events and clubs, and many more.

At Optiver, we are committed to creating a diverse and inclusive environment of mutual respect. Optiver recruits, employs, trains, compensates and promotes regardless of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Please note, this is for experienced applications only. If you're interested in graduate and intern positions, please instead apply to our2024 Graduate Software Engineeror2024 Software Engineer Internopportunities.

Job Summary

JOB TYPE

Full Time

SALARY

$112k-134k (estimate)

POST DATE

06/14/2024

EXPIRATION DATE

06/28/2024

WEBSITE

optiver.com

HEADQUARTERS

San Francisco, CA

SIZE

500 - 1,000

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The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.

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