Machine Learning Engineer Salary at M-Qube Inc BETA

Machine Learning Engineer (Training Infrastructure) We’re looking for a Machine Learning Engineer to help design, scale, and optimize the backbone systems that power advanced AI models. If you're passionate about building distributed training pipelines and enabling breakthroughs in machine learning, this role offers the chance to work on infrastructure that truly matters. This is a fast-moving environment, focused on making foundational models practical and efficient for real-world use. We're a tight-knit, highly technical team building next-gen systems for AI development. You’ll work in a collaborative setting, surrounded by engineers who thrive on solving systems challenges and shipping impactful solutions. As a Machine Learning Engineer, your work will directly impact how quickly and effectively machine learning models are trained—from compact models with specific purposes to massive multimodal systems. You’ll focus on maximizing compute efficiency, building scalable training platfo

Are you ready to join a world leader in the exciting and dynamic fields of the Pharmaceutical and Medical Device industries? PQE Group has been at the forefront of these industries since 1998, with 40 subsidiaries and more than 2000 employees in Europe, Asia, and the Americas. Job Overview We are seeking a talented and driven Machine Learning Engineering Manager to join our team and help us achieve ambitious milestones. In this role, you will oversee the daily operations of the Machine Learning team, guiding the design and implementation of infrastructure for reliable and high-performance machine learning and analytics pipelines. The team tackles a diverse set of challenges, including the detection and classification of dental conditions from medical images, alongside the application of cutting-edge machine learning methods to solve complex problems in our domain. Responsibilities: Lead the daily execution of the ML team, driving the design, development, and optimization of machine lea

Machine Learning Engineering Manager Cambridge,Massachusetts,United States Corporate Functions Imagine what you could do here! The people here at Apple dont just create products they build the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apples largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and w

Seer are currently partnered with an AI-Drug Discovery Start-Up building a new ML team in Boston, MA. Experience required: Extensive experience in Machine Learning. Extensive experience in Deep Learning techniques :: Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Deep Reinforcement Learning). Programming experience in Python or other backend languages. Experience in building Generative Models & Scaling them. Job Responsibilities: Design and execute machine learning training and inference tasks at scale, utilizing thousands of GPUs in parallel. Develop robust ML tools and libraries to support a flexible, efficient, and highly scalable platform. Implement rigorous validation pipelines and benchmarking processes to ensure the quality and performance of ML models. If you'd be interested in this position, please send your CV to dking@team-seer.com

Machine Learning Engineer Cambridge,Massachusetts,United States Corporate Functions Imagine what you could do here! The people here at Apple dont just create products they build the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apples largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looki

Senior Machine Learning Engineer (LLMs & Scalable Systems) Location: Remote-first (with ~5 hours overlap with US Eastern Time) Compensation: $200k base + equity + performance bonus A fast-growing AI startup in the digital advertising space is looking for a Senior Machine Learning Engineer to lead the development and optimization of large language model (LLM) applications. This company is building transparent, customizable AI tools that allow advertisers to retain full control over their data while improving campaign efficiency across platforms. The company is NYC-based, but the technical teams are fully remote. This is a unique opportunity to join a small, empowered technical team with a high degree of ownership, real impact, and no corporate red tape. Backed by a major global agency partner, the company is rapidly expanding and applying LLMs to uncover patterns in unstructured data, automate insights, and enable real-time optimization. Key Responsibilities Design, build, and deploy ma

**Our Opportunity:** Chewy is looking for a **Machine Learning Engineer III** to join our Merchandising Data Science Team. In this role, you will combine an understanding of machine learning, data analysis, statistical testing, and software development. As a Machine Learning Engineer, you will play a meaningful part in crafting, implementing, and deploying machine learning models to address critical problems for our Retail Operations business partners. The ideal candidate will operate as a full stack data scientist who should have expertise in both machine learning and cloud technologies, with a focus on deploying and scaling machine learning models in cloud environments. You will have the chance to create and develop backend ML frameworks best suited for different business problems and build engineering pipelines to streamline model deployment. Does this sound like you? If so, we would love to hear from you! **What you'll do:** + Design, develop, and implement machine learning models

About 10a Labs: 10a Labs is an applied research and AI security company trusted by AI unicorns, Fortune 10 companies, and U.S. tech leaders. We combine proprietary technology, deep expertise, and multilingual threat intelligence to detect abuse at scale. We also deliver state-of-the-art red teaming across high-impact security and safety challenges.About The role: Were looking for an ML engineer with a strong foundation in traditional ML and hands-on experience applying those skills to modern LLM systems. This is an applied role for someone who owns the full ML lifecyclefrom data pipelines and model training to evaluation, deployment, and ongoing iteration in real-world production environments.In This Role, You Will:Build and deploy a multi-stage classification system optimized for high throughput and low latency, while ensuring high recall and precision.Integrate continuous feedback loops from human review to refine model performance.Design and implement real-world ML systems with a fo