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JobRialto
Austin, TX, United States
Job Description: Design, implement, and optimize machine learning algorithms and models.- Neural networks (Graph neural network), Deep learning & transformers (Temporal Fusion Transformer ), NLP, gradient boosting using open-source machine learning frameworks - tensorflow, pytorch, XGBoost, LightbGM Enable functionality to support analysis, model
Job Source: JobRialtoVisa
Austin, TX, United States
Company Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and se
Job Source: VisaCloudflare Inc
Austin, TX, United States
About Us At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world’s largest networks that powers approximately 25 million Internet properties, for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet ap
Job Source: Cloudflare IncAdobe
Austin, TX, United States
Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies int
Job Source: AdobeForeFlight
Austin, TX, United States
ForeFlight is looking for an experienced machine learning engineer to join our Data Team in Austin. This person join a team of data engineers dedicated to extracting structured aeronautical information from a wide variety of documents. Professionally, this person is driven to execute, deliver, and complete projects independently, seeking advice an
Job Source: ForeFlightPayPal
Austin, TX, United States
PayPal is looking for an individual contributor with strong ML engineering background in the Global Analytics and Data Science (GADS) Organization to design and develop a suite of machine learning solutions driving large-scale personalization of financial services, merchant products and action recommendations for millions of PayPal customers across
Job Source: PayPalIron Mountain Inc
Austin, TX, United States
At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain. We provide expert, sustain
Job Source: Iron Mountain IncHP
Austin, TX, United States
Machine Learning Engineer - MLOps Description - The Role As a Machine Learning Engineer - MLOps, you will develop AI-powered software applications, especially internal business applications. You will work closely with product managers, business stakeholders, data scientists and other software engineers to design, develop, and implement cutting-edge
Job Source: HPAustin, TX, United States
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, Optiver’s Austin office serves as the firm’s 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. What’s 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 you’ll 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 you’ll 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.
Email Alert for Machine Learning Engineer jobs in Austin, TX, United States
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