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Unreal Gigs
San Mateo, CA, United States
About The Role We're looking for a passionate and skilled Principal ML Engineer who wants to swing for the fences to accomplish our mission, is excited by a startup environment where the hardest problems are yet to be solved, and is eager to learn and collaborate together. This is our first fully dedicated ML Engineer with a massive runway to make
Job Source: Unreal Gigs1st. Creative Learning Academy Inc.
Santa Clara, CA, United States
Are you a Principal Learning Engineer expert? At Realtor.com , we process terabytes of data every day, and transform that data into information that powers decisions for millions of home buyers, renters, dreamers, and real estate professionals. We aim to radically simplify home buying/selling and help more people achieve the American dream on our w
Job Source: 1st. Creative Learning Academy Inc.Wayve
Mountain View, CA, United States
Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly. Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, ma
Job Source: WayvePalo Alto Networks
Santa Clara, CA, United States
Company Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way thing
Job Source: Palo Alto NetworksAppLovin
Palo Alto, CA, United States
About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com. To deliver on this mission, our global team is co
Job Source: AppLovinWayve
Mountain View, CA, United States
Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly. Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, ma
Job Source: WayveUnreal Gigs
San Mateo, CA, United States
About The Role We're looking for a passionate and skilled Principal ML Engineer who wants to swing for the fences to accomplish our mission, is excited by a startup environment where the hardest problems are yet to be solved, and is eager to learn and collaborate together. This is our first fully dedicated ML Engineer with a massive runway to make
Job Source: Unreal GigsFORDER I.T.
Palo Alto, CA, United States
We seek an experienced Machine Learning Engineer specializing in ML infrastructure and deep learning architecture. In this position, you will be instrumental in creating state-of-the-art deep learning structures and enhancing our ML infrastructure. If you are enthusiastic about pushing the limits of machine learning technology, constructing high-va
Job Source: FORDER I.T.Palo Alto, CA, United States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, OSI Engineering, Inc., is seeking the following. Apply via Dice today!
You will join an organization that partners with companies to help unlock the potential of AI for their specific goals and helps them evolve together with the technology. They re built to help large organizations that are looking to lean into AI in a thoughtful way. They offer a software platform that helps companies adopt AI-based models and applications in a productive, cost-effective, and secure manner. They have received funding from top-tier VC firms and will release their first product later this year.
Responsibilities:
Own the design and implementation of our Machine Learning infrastructure
Develop highly scalable custom classifiers and models that leverage machine learning, deep learning, and algorithmic approaches for large-scale problems
Apply the latest deep and machine learning advances to increase efficacy and performance.
Integrate, deploy, test, and verify your algorithms and models through simulation and in real-world environments
Design, develop, test, deploy, maintain and improve software.
Collaborate cross-functionally to deploy AI solutions
Produce high-quality, production-ready, readable, maintainable code
Required Skillsets:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8+ years of work experience as a machine learning engineer, data scientist, and software developer, preferably at least two years at a seed, Series A, or Series B company
Lead products or features in developing machine learning models at scale from inception to business impact
Deep experience in machine learning, deep learning, neural networks, and natural language processing
Deep knowledge of LLMs concepts - Prompt Engineering, RAG, and fine-tuning LLMs
Experience building deep learning and transformer model
Expert level programming experience in Python, goLang, Java, C/C++, and hands-on experience with frameworks such as PyTorch, TensorFlow, Keras, etc.
Deep knowledge of architectural patterns of large-scale software applications.
Strong familiarity with NoSQL, SQL, relational, and graph data stores
Ability to share findings in easy to consume formats, whether that is through dashboards or data modeling
Experience working in a cloud environment such as AWS, Google Cloud Platform, Azure
Experience designing and building data pipelines for production level ML infrastructure
Desired Skillsets:
Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2+ years of experience in a startup environment
Direct experience with generative AI and LLM research
Relevant professional experience with one or more of the following: Natural Language Understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems, or similar
No 3rd party agencies or C2C
Location: Palo Alto, CA (3 days onsite, 2 days remote)
Position Type: Full-time
Salary: $200k - $265k/yr
Principal Machine Learning Engineer
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Email Alert for Principal Machine Learning Engineer jobs in Palo Alto, CA, United States
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