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Stealth Startup
, 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
Job Source: Stealth StartupMetropolis
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: MetropolisKuraray America, Inc.
, CA, United States
Hang is building the future of loyalty for brands. Hang is the next generation brand loyalty & membership platform. By harnessing the power of personalization, gamification, and its integrations ecosystem, Hang provides brands with a radically new type of loyalty experience for their customers. Today, they work with a variety of major brands (s
Job Source: Kuraray America, Inc.SynergisticIT
Pasadena, CA, United States
About Us: Synergistic IT is a full-service staffing and placement firm servicing client in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We don't just help you secure a Tech Job, but we build your solid ca
Job Source: SynergisticITMillennium Space Systems
El Segundo, CA, United States
Company Overview Millennium Space Systems, A Boeing Company delivers affordable, high-performance space systems for exacting customers. At Millennium, you will be part of a close-knit team working on exciting technological problems. We work in an open environment where ideas are shared across all disciplines, and there are ample opportunities for
Job Source: Millennium Space SystemsaKUBE
, CA, United States
City: LA/ Seattle. The team works in West Coast Hours 9 - 5 PST. Duration: 24 months Rate Range: $ 114/hr on W2 depending on experience (no C2C or 1099 or sub-contract) Work Authorization: GC, USC, All valid EADs except H1b Description: Ad Platforms organization is fully responsible for building, enhancing and maintaining the high-performanc
Job Source: aKUBERAND
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 g
Job Source: RANDCenterfield Corporation
Los Angeles, CA, United States
Hi, We're Centerfield. Supercharged customer acquisition. Centerfield delivers outcome-based digital marketing solutions and personalized omnichannel experiences for the world's leading brands. Powered by our proprietary Dugout platform, Centerfield acquires customers at scale for leading residential service, insurance, e-commerce, and B2B brands.
Job Source: Centerfield Corporation, 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, and reliability.
Responsibilities:
Lead the development of machine learning systems for VFM & VLM production
Optimize inference infrastructure for scalability and reliability
Oversee ML deployment & operations (VFMOps / VLMOps) for model optimization and automation
Manage data infrastructure and preparation for high-quality video data
Design effective team processes for operational efficiency
Coach and develop team members for career growth
Drive recruiting efforts during rapid growth periods
Requirements:
10+ years of software development experience, including ML engineering
5+ years building end-to-end ML systems, including MLOps and data management
Experience managing high-output engineering teams for 2+ years
Proficiency in video processing and data pipelining
Experience with secure software development environments
Desired Experience:
MS or PhD in CS, Math, or equivalent experience
Startup engineering experience in a fast-paced environment
Familiarity with large-scale models and both cloud/on-premise environments
ML research experience is a plus
Understanding of large-scale computing systems and cloud scaling approaches
Tech Stack:
Languages: Python, Golang, C++, CUDA
ML/Platform: PyTorch, Docker, Kubernetes, Terraform
ML Ops: MLFlow, Weights and Biases
Data: Pachyderm, DVC
Automation: Airflow, Kubeflow
Model Serving: Triton, FasterTransformer
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Machine Learning Infrastructure Engineer jobs in , CA, United States
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