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Intelletec
, CA, United States
ML Systems Engineer - Lead Role Join our team as the Lead ML Systems Engineer and drive the development of cutting-edge machine learning systems for video foundation (VFM) and language model (VLM) in production. In this role, you'll lead a talented team, set technical strategies, and ensure our systems exceed user expectations in speed, efficiency,
Job Source: IntelletecAcceler8 Talent
, CA, United States
Lead Machine Learning Engineer (Kubernetes, GPUs, LLMs) Dive into the future of artificial intelligence with a groundbreaking role that's redefining the interaction between humans and technology. As a Lead ML Engineer, you're not just taking a job; you're embarking on a quest to unlock new collaborative capabilities that elevate human potential to
Job Source: Acceler8 TalentMetropolis
Los Angeles, CA, United States
Location: Seattle, WA OR Los Angeles, CA (Hybrid) The Company Metropolis is an artificial intelligence company for the real world. Metropolis' computer vision platform enables people to transact in the physical world with even greater ease than we experience online. Today, we are reimagining parking. Because it's important, it's everywhere, and imp
Job Source: MetropolisAeroVironment
, CA, United States
Worker Type Regular Job Description Summary The Machine Learning Engineer I will have the opportunity to interact with R&D Group to develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications. These development efforts will generally be small focused des
Job Source: AeroVironmentZefr
, CA, United States
What We Do Zefr is the global leader in brand suitability targeting and measurement across the world’s largest platforms. Zefr’s technology is helping to power the age of responsible marketing by putting advertisers in control of their content adjacencies based on their own unique brand safety and suitability preferences, mapped to the Global Alli
Job Source: ZefrTik Tok
Los Angeles, CA, United States
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire -
Job Source: Tik TokPlayStation
Los Angeles, CA, United States
Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Stu
Job Source: PlayStationHarnham
, CA, United States
MACHINE LEARNING ENGINEER San Francisco Bay Area 150K-190K Base Salary + Bonus + Equity + Competitive Benefits Hybrid- Required to come into office 3 days a week I am looking to fill a Machine Learning Engineer role with someone who has distributed optimization experience (scaling ML models) and experience with architecting and building out a ful
Job Source: Harnham, CA, United States
About Us
We're building a co-pilot for hardware designers. Our mission is to enable 9M mechanical engineers to iterate through designs 1000x faster.
We are building our geometry + physics driven foundation model for each class of part design
We’ve raised a first round of capital from Khosla Ventures.
Responsibilities
You’ll be a force multiplier for our team and will design and develop the pipelines and tools that make our product a product. This includes accelerating our development by developing the system that enables our code to go from development to deployment. You’ll also orchestrate how data flows throughout the deployed product. Specific tasks include:
Architect and develop data generation pipeline and the services. We will generate geometry and physics solution data
Create a development and deployment pipeline for a product that includes on-prem deployment including: build system, containerization, data generation, indexing on GCP
Set up an MLOps framework for training deep learning architectures for geometry and physics data
Assist in the strategy, planning the product roadmap, and prioritize the development in partnership with early customers and design partners
Build and ship critical product features
Learn a lot while building products that engineers will love. Also learn about entrepreneurship!
Qualifications
5+ years of experience developing and shipping features in a production environment
Proficiency in C++, Python, or any other language necessary for setting up a system. Tools like grpc, protocol buffers, Docker, Kubernetes, Bazel (or your favorite language agnostic build system)
Proficiency in using cloud compute be it for data generation, scraping, and enabling data science teams to train models with MLOps
Startup experience is a strong advantage.
You’re a great fit for this role if you
Are excited about entrepreneurship, taking things from 0 to 1,
Have a continuous learning mindset.
Are interested in building a geometry and physics based model for a vast variety of design problems (e.g. heat dissipation system for chips to landing gears)!
Thrive when you have autonomy and ownership over your work
Location
We’re located in Palo Alto,, CA, planning to work 2-3 days in person. Benefits and perks
Benefits/Perks
Generous compensation & equity (stock options)
Health + dental + 401k
Lunch, drinks, and snacks provided for in-person days
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Machine Learning Infrastructure Engineer jobs in , CA, United States
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