ML Engineer in California

Company Overview

We are a global tech leader focused on pushing the boundaries of search engine monetization across various platforms. Our team is dedicated to leveraging state-of-the-art machine learning technologies to optimize advertising solutions and drive innovation in search monetization. With a mission to expand our footprint in the digital advertising space, we are looking for a highly skilled Senior Machine Learning Engineer to join our team and contribute to the growth of our U.S. Search Ads business.

Job Description

As a Senior Machine Learning Engineer on our Search Ads team, you will play a critical role in the development and scaling of a large-scale ad platform. You will be responsible for creating, optimizing, and implementing machine learning models to enhance ad personalization, ranking, and relevance. This role offers a unique opportunity to make a direct impact on the growth and success of...

Kuzco is seeking a Senior ML Infrastructure Engineer to join our team. This role involves developing large-scale, fault-tolerant systems that handle millions of large language model inference requests per day. If you are passionate about developing next-generation ML systems that operate at scale, we want to hear from you.

About Kuzco

We are building a distributed LLM inference network that combines idle GPU capacity from around the world into a single cohesive plane of compute that can be used for running large-language models like Llama and Mistral. At any given moment, we have over 5,000 GPUs and hundreds of terabytes of VRAM connected to the network. Learn more here.

We are a small, well-funded team of staff-level engineers who work in-person in downtown San Francisco on difficult, high-impact engineering problems. Everyone on the team has been writing code for over 10 years, and has founded and run their own software companies. We are...

Company Overview: Welcome to the forefront of machine learning operations (MLOps)! Our company is dedicated to harnessing the power of machine learning to drive innovation and transform industries. We're committed to developing cutting-edge ML solutions that deliver real-world impact and value to our customers. Join us and be part of a dynamic team shaping the future of MLOps.

Position Overview: As a Senior ML Operations Engineer, you'll play a critical role in building and maintaining the infrastructure and processes that enable the deployment, monitoring, and management of machine learning models at scale. You'll work closely with data scientists, software engineers, and DevOps teams to streamline the machine learning lifecycle and ensure reliable and efficient model operations. If you're a seasoned engineer with a passion for machine learning and a track record of designing and implementing MLOps solutions, we want you on our...

Company Overview: Welcome to the forefront of machine learning operations (MLOps)! Our company is dedicated to harnessing the power of machine learning to drive innovation and transform industries. We're committed to developing cutting-edge ML solutions that deliver real-world impact and value to our customers. Join us and be part of a dynamic team shaping the future of MLOps.

Position Overview: As a Senior ML Operations Engineer, you'll play a critical role in building and maintaining the infrastructure and processes that enable the deployment, monitoring, and management of machine learning models at scale. You'll work closely with data scientists, software engineers, and DevOps teams to streamline the machine learning lifecycle and ensure reliable and efficient model operations. If you're a seasoned engineer with a passion for machine learning and a track record of designing and implementing MLOps solutions, we want you on our...

Company Overview: Welcome to the forefront of machine learning operations (MLOps)! Our company is dedicated to leveraging the power of machine learning to drive innovation and transform industries. We're committed to developing cutting-edge ML solutions that deliver real-world impact and value to our customers. Join us and lead our team in shaping the future of MLOps.

Position Overview: As the Lead ML Operations Engineer, you'll be responsible for leading our MLOps efforts and driving the design, implementation, and optimization of infrastructure and processes for deploying, monitoring, and managing machine learning models at scale. You'll lead a team of talented engineers and collaborate closely with data scientists, software engineers, and DevOps teams to streamline the machine learning lifecycle and ensure reliable and efficient model operations. If you're a seasoned engineer with a passion for machine learning and a track record of...

Company Overview: Welcome to the forefront of machine learning operations (MLOps)! Our company is dedicated to leveraging the power of machine learning to drive innovation and transform industries. We're committed to developing cutting-edge ML solutions that deliver real-world impact and value to our customers. Join us and lead our team in shaping the future of MLOps.

Position Overview: As the Lead ML Operations Engineer, you'll be responsible for leading our MLOps efforts and driving the design, implementation, and optimization of infrastructure and processes for deploying, monitoring, and managing machine learning models at scale. You'll lead a team of talented engineers and collaborate closely with data scientists, software engineers, and DevOps teams to streamline the machine learning lifecycle and ensure reliable and efficient model operations. If you're a seasoned engineer with a passion for machine learning and a track record of...

Company Overview: Welcome to the forefront of machine learning operations! At our company, we're driving the next wave of AI revolution through cutting-edge ML operations technologies. Our mission is to develop scalable and reliable ML systems that empower businesses and revolutionize industries. Join us and be part of a dynamic team committed to pushing the boundaries of what's possible with MLOps.

Position Overview: As an ML Operations Engineer (MLOps), you'll play a critical role in developing and maintaining scalable and reliable machine learning pipelines and systems. Working closely with data scientists, software engineers, and DevOps specialists, you'll ensure the smooth deployment, monitoring, and optimization of machine learning models in production environments. If you're passionate about bridging the gap between data science and operations and eager to drive innovation in ML infrastructure, we want you on our...

Join us in refining our enterprise developer tool dedicated to crafting cutting-edge voice AI agents. Collaborate closely with our founding team to optimize the voice AI stack, overcoming challenges to enhance intelligence, robustness, and speed. Utilize the latest research findings and conduct experiments to drive continuous improvement.

Requirements

Responsibilities

• Spearhead model training and fine-tuning processes.
• Manage deployment and scaling of model inference, addressing challenges at significant scale.
• Continuously contribute to product development while conducting research activities.

Tech Profile

• Proficiency in LLM training and fine-tuning techniques.
• Background in Applied AI Research with a focus on audio processing.
• Preference for candidates with a PhD or equivalent research experience.
...

Join us in refining our enterprise developer tool dedicated to crafting cutting-edge voice AI agents. Collaborate closely with our founding team to optimize the voice AI stack, overcoming challenges to enhance intelligence, robustness, and speed. Utilize the latest research findings and conduct experiments to drive continuous improvement.

Requirements

Responsibilities

• Spearhead model training and fine-tuning processes.
• Manage deployment and scaling of model inference, addressing challenges at significant scale.
• Continuously contribute to product development while conducting research activities.

Tech Profile

• Proficiency in LLM training and fine-tuning techniques.
• Background in Applied AI Research with a focus on audio processing.
• Preference for candidates with a PhD or equivalent research experience.
...

Job Title: ML Infrastructure Engineer with GCP

Location: Mountain View, CA [Needs to be onsite for 1 week once in a quarter on your own expenses]

Job Type: W2

Duration: Long Term

Note: Only PST and MST candidates are required.

Must have: 

· Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure.

· Proficiency in programming languages Python, Java

· Experience with cloud platforms such as AWS, GCP, or Azure. GCP experience is strongly preferred.

· Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).

· Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform).

· Strong understanding of Containerization technologies (e.g., Docker, Kubernetes).

·...