Ready to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO)
Ready to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO)
About the Job We're partnered with a VC-backed start-up, founded by engineering leaders from Lyft & Google, that has raised $100M to become the category leader in multi-domain autonomy across air, land and sea. They have secured both defense and commercial contracts to deploy autonomous solution
Responsibilities You will be joining our Applied Machine Learning team, a central team responsible for delivering state-of-the-art solutions powering our company's recommendations, ads, and search systems across various products such as TikTok, Douyin. We own the end-to-end ML lifecycle, from ideati
Responsibilities You will be joining our Applied Machine Learning team, a central team responsible for delivering state-of-the-art solutions powering our company's recommendations, ads, and search systems across various products such as TikTok, Douyin. We own the end-to-end ML lifecycle, from ideati
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectatio
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-sta
Imagine being at the forefront of an evolution where powerful AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently.
About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of th
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectatio
Location: Atlanta, GA (10-Week Training Bootcamp) Project Placement: Nationwide (Relocation Required) Employment Type: Full-Time Do you want to become a Sr. Level AI-Engineer? We assist in turning Junior’s into Senior’s. We are seeking motivated and technically inclined professionals who aspire to b
Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart ca
Job Description Hybrid This role is categorized as hybrid. This means the successful candidate is expected to report to the Sunnyvale Tecnical Center, CA at least three times per week, at minimum or other frequency dictated by the business. This job is eligible for relocation assistance. About the T
Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Qualcomm AI Hub is the platform for on-device AI - enabling developers to easily integrate, optimize, profile, and deploy ML models on Qualcomm devices. Qualcomm AI
Title: AI Infrastructure / ML Infrastructure Engineer Job Type: Contract Contract Length: 12 Months Pay Range: $50/hr – $175/hr Start Date: ASAP Location: Remote About The Opportunity Our client, a leader in AI testing, is looking for a skilled AI Infrastructure / ML Infrastructure Engineer to join
Job Description About the Team: The AI Validation Platform team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AV efforts. We’re proud to serve as the infrastructure platform for teams developing autonomous vehicles (L3/L4/L5). Our platform supports the simulated val
The application window is expected to close on: 05/15/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This is a hybrid position requiring 3 days a week in our office located in Milpitas, CA.*** Meet the Team Our team delivers
About Moloco: Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who buil
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development, with a focus on building and maintaining large-scale distributed systems, and experience with Python and C++. 3 years of experience with ML infrastructure (e.g., model deploym
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 3 years of experience with developing infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. 3 years of ex
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development, with a focus on building and maintaining large-scale distributed systems, and experience with Python and C++. 3 years of experience with ML infrastructure (e.g., model deploym
We are seeking a highly experienced Machine Learning Engineer to build, deploy, and optimize Large Language Model (LLM)-based applications, with a strong emphasis on MLOps/LLMOps (LLM operations) and scalable production systems. At Apple, we believe in creating technology that enriches lives and emp
Role Number: 200655674-0836 Summary We are seeking a highly experienced Machine Learning Engineer to build, deploy, and optimize Large Language Model (LLM)-based applications, with a strong emphasis on MLOps/LLMOps (LLM operations) and scalable production systems. At Apple, we believe in creating te
We are seeking a highly experienced Machine Learning Engineer to build, deploy, and optimize Large Language Model (LLM)-based applications, with a strong emphasis on MLOps/LLMOps (LLM operations) and scalable production systems. At Apple, we believe in creating technology that enriches lives and emp
We are seeking a highly experienced Machine Learning Engineer to build, deploy, and optimize Large Language Model (LLM)-based applications, with a strong emphasis on MLOps/LLMOps (LLM operations) and scalable production systems. At Apple, we believe in creating technology that enriches lives and emp
Responsibilities MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the stable and efficient operations of machine learning models from data preparation, development, training, deployment,
Overview NVIDIA is seeking a Senior MLOps Engineering Manager to join our Autonomous Driving organization in Santa Clara, CA. This role offers an outstanding opportunity to lead the build, development, and operation of large-scale, end-to-end data and ML pipelines that power NVIDIA's autonomous driv
The Opportunity Join Adobe as a skilled and proactive Machine Learning Ops Engineer to drive the operational reliability, scalability, and performance of our AI systems! This role is foundational in ensuring our AI systems operate seamlessly across environments while meeting the needs of both develo
NVIDIA is seeking a Senior MLOps Engineering Manager to join our Autonomous Driving organization in Santa Clara, CA. This role offers an outstanding opportunity to lead the build, development, and operation of large‑scale, end‑to‑end data and ML pipelines that power NVIDIA’s autonomous driving produ
*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 image