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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: IntelletecMetropolis
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: MetropolisBerkley Hunt
, CA, United States
Overview: Berkley Hunt has partnered with a Series A firm backed by a Tier 1 VC, we are currently seeking a Founding Machine Learning Engineer with a proven track record in designing and deploying ML models and systems. This role is integral to the companies startup mission, focusing on addressing sophisticated challenges in the realms of security,
Job Source: Berkley HuntMachina Labs
Los Angeles, CA, United States
Company: Machina Labs, founded in 2019 by aerospace and auto industry veterans, is a Los Angeles-based smart manufacturing company. Leveraging advancements in AI and robotics, Machina Labs develops software-defined factories to create modular manufacturing solutions. The company, backed by major investors in AI and Deep Tech, is currently developi
Job Source: Machina LabsDigital Force Technologies
, CA, United States
Digital Force Technologies (DFT) Machine Learning Engineer What We Do: Digital Force Technologies (DFT) is a defense technology provider with a 20-year history of developing and fielding advanced sensor systems, force protection solutions, and tactical surveillance products. DFT’s extensive history of innovation, in-house expertise, and robust ne
Job Source: Digital Force TechnologiesFractal
, CA, United States
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only c
Job Source: FractalRAND Corporation
Santa Monica, CA, United States
Job Type: Regular Machine Learning Engineer Research Software Engineers at RAND work in a multidisciplinary environment, closely collaborating with researchers and analysts from a variety of domains. The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring ge
Job Source: RAND CorporationFanDuel
Los Angeles, CA, United States
ABOUT FANDUEL FanDuel Group ("FanDuel") is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-depo
Job Source: FanDuel, 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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