1 - 20 of 193 Jobs

Installation Tech II JAX

TEKsystems c/o Allegis Group

Jacksonville, Florida, USA

Full-time

Description What to expect as a Commercial Security Installation Technician II: Install, program and configure commercial electronic security systems for enterprise commercial clients (door access control, CCTV, intrusion detection, low voltage communication, electronic locks, point sensors, signaling devices, ect.) Troubleshoot new security installations to ensure the systems are functioning properly and satisfy codes Supervise Installation Technician I's on a job as assigned by the Installatio

Machine Learning Engineer - NYC- Leading Global Prop Trading Firm

Oxford Knight

New York, New York, USA

Full-time

Salary: up to $300,000 USD base + annual bonus Summary Exciting opportunity to work at one of the world's leading propriety trading firms with offices across the globe. You will be working with an elite global team of top minds in machine learning and engineering to help drive the direction of their ML platform. Seeking accomplished engineers with expertise in machine learning and robust mathematical foundations to work on building the firm-wired machine learning infrastructure and/or working wi

Software Engineer, ML Inference Compiler & Deployment, AI Frameworks

Tesla Motors

Palo Alto, California, USA

Full-time

As a Software Engineer within our Autonomy teams, you will contribute to one of the most advanced and widely deployed AI Platforms in the world, powering Autopilot and our Humanoid Robot, Optimus. In this role, you will be responsible for the internal working of the AI inference stack and compiler running neural networks in millions of Tesla vehicles and Optimus. You will collaborate closely with the AI Engineers and Hardware Engineers to understand the full inference stack and design the compi

Machine Learning Systems Engineer

Signify Technology

San Jose, California, USA

Full-time

Job DescriptionMachine Learning Systems Engineer 3D Generative AI A well-funded and fast-growing company at the forefront of 3D generative AI is seeking a Machine Learning Systems Engineer to help build the most advanced end-to-end machine learning infrastructure for 3D content generation. This is a rare opportunity to work alongside a globally distributed team of experts in computer graphics, AI, and large-scale systems. With millions of users and tens of millions of 3D assets generated, the pl

Software Engineer, ML Inference Compiler & Deployment, GPU, CPU

Tesla Motors

Palo Alto, California, USA

Full-time

As a Software Engineer within our Autonomy teams, you will contribute to one of the most advanced and widely deployed AI Platforms in the world for Autopilot and our Humanoid Robot, Optimus. In this role, you will be responsible for the internal working of the AI inference stack and compiler running neural networks in millions of Tesla vehicles and Optimus. You will collaborate closely with the AI Engineers and Hardware Engineers to understand the full inference stack and design the compiler to

Software Engineer, ML Inference Compiler & Deployment, AI Accelerator

Tesla Motors

Palo Alto, California, USA

Full-time

As a Software Engineer within our Autonomy teams, you will contribute to one of the most advanced and widely deployed AI Platforms in the world for Autopilot and our Humanoid Robot, Optimus. In this role, you will be responsible for the internal working of the AI inference stack and compiler running neural networks in millions of Tesla vehicles and Optimus. You will collaborate closely with the AI Engineers and Hardware Engineers to understand the full inference stack and design the compiler to

Machine Learning Engineer II

Uber Corporate

San Francisco, California, USA

Full-time

The Marketplace Signals team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals-such as eyeball ETA, spinner time, and supply reliability indicators-are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions. What You'll Do - Develop and optimize ML models to en

On-device ML Infrastructure Engineer (ML Compiler Frontend)

Apple, Inc.

No location provided

Full-time

The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple's hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products. The team builds critical infrastructure that begins with onboarding the latest machine

ML Engineer - Generative AI, Siri Agent Modeling

Apple, Inc.

No location provided

Full-time

The Siri team is looking for passionate Machine Learning Engineers to join us in developing and shipping state-of-the-art generative AI technology to advance Siri and Apple Intelligence for Apple's customers. Siri is being elevated by the huge opportunities that AI brings. The team is responsible for training on-device & cloud models, evaluating various approaches, pushing the envelope with the latest generative AI research developments, and ultimately delivering product critical models that pow

Technical Lead Manager, ML Infrastructure

Nuro Inc.

Mountain View, California, USA

Full-time

Who We Are Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver is one of the few driverless autonomous technologies on public roads today. Nuro has raised over $2B in capit

AIML - Machine Learning Researcher, Foundation Models

Apple, Inc.

No location provided

Full-time

We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple pr

Senior Speech Machine Learning Engineer

Apple, Inc.

No location provided

Full-time

Want to join the team pushing the boundaries of AI and building an intelligent assistant that helps millions of people get things done? Join the Siri team at Apple. To build the best speech recognition models, we need to use the latest technology in distributed training and the best available data. We combine those needs into one team and are focused on blurring the lines between traditional "data processing" and "model training". Efficiently training on petabytes of audio data pushes us to cons

On-device ML Infrastructure Engineer (ML User Experience APIs & Integration)

Apple, Inc.

No location provided

Full-time

The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting edge machine learning models that power magical user experiences on Apple's hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that discipline, interfacing with research, SW engineering, HW engineering, and products. The team builds critical infrastructure that begins with onboarding the latest machine

Senior ML Engineer - Generative AI, Siri Agent Modeling

Apple, Inc.

No location provided

Full-time

The Siri team is looking for passionate Machine Learning Engineers to join us in developing and shipping state-of-the-art generative AI technology to advance Siri and Apple Intelligence for Apple's customers. Siri is being elevated by the huge opportunities that AI brings. The team is responsible for training on-device & cloud models, evaluating various approaches, pushing the envelope with the latest generative AI research developments, and ultimately delivering product critical models that pow

Senior Python Machine Learning Engineer

EPAM Systems

No location provided

Full-time

We seek a highly skilled Python Machine Learning Engineer with extensive experience designing, developing and deploying Machine Learning models and NLP applications. As a Python Machine Learning Engineer, you will provide expertise in LLMs for diverse Python applications, such as chatbots, question-answering systems, and content generation. Immerse yourself in our collaborative culture by working on-site at our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi. #LI-DNI#top-va

On Device Machine Learning

Apple, Inc.

No location provided

Full-time

The On-Device Machine Learning team at Apple enables the Research to Production lifecycle of innovative machine learning models that power magical user experiences on Apple's hardware and software platforms. Apple is the best place to do on-device machine learning, and this team sits at the heart of that field, collaborating with research, SW engineering, HW engineering, and products. The team builds critical infrastructure that begins with onboarding the latest machine learning architectures to

Senior ML Compiler Engineer

General Motors

Mountain View, California, USA

Full-time

Job Description Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. Role: We are looking for a deep learning compiler engineer to build out our ML compiler for deploying machine learning models to a variety of ML hardware accelerators. You will develop and enhance GM's internal ML compiler for high performance, usability, and retar

Senior Compiler Verification Engineer - Deep Learning

NVIDIA Corporation

Santa Clara, California, USA

Full-time

We are building the next generation of compiler technologies to accelerate deep learning workloads. We are looking for an engineer to work on compiler verification in the AI space. You will be solving critical problems working alongside a diverse set of minds in GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we want to hear from you! What you'll be doing: In this role you will work closely with compiler developers to verify new and state of the a

AIML - ML Engineer

Apple, Inc.

No location provided

Full-time

As part of Apple's Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The ML Research Team does world-class research and development across a wide range of domains including understanding and improving ML, addressing bias and fairness in algorithms, privacy and federated learning, embodied and interactive ML systems, computer vision, and more. The techniques and tools we create will impact ML solution

AI Research Scientist

Alldus

Sunnyvale, California, USA

Full-time

Job DescriptionMy Client is pioneering the future of Automation AI, developing an avant-garde platform that revolutionizes how repetitive tasks are identified and automated. Their system offers a groundbreaking "observe, learn, and automate" methodology, leveraging a foundational model to not only understand user behavior but to predict and automate mundane tasks without requiring any coding input. This AI-driven approach is designed to evolve continuously through human feedback, enhancing its c