Machine Learning Engineer Foundation Model
A company is looking for a Machine Learning Engineer for their Foundation Model.Key Responsibilities : Analyze opportunities, propose ideas, train & evaluate ML models, run experiments, and deploy to productionOperate fluidly in the team to tackle problems like system evaluation, performance improvement, and model qualityContribute to and influence ML architecture, and be part of a larger ML communityRequired Qualifications : Minimum of 3 years experience shipping ML systems in productionHold oneself and others to a high bar when working with production systemsTake pride in taking ownership and driving projects to business impactThrive in a collaborative environment5+ years of experience in full-time software development roles preferred
Machine Learning Model Engineer, Motion Planning: Behavior
Machine Learning Software Engineer. Experience with imitation and reinforcement learning and how machine learning can be used in robotics applications. Build machine learning approaches for motion planning for creating, generating, and selecting comfortable and safe trajectories for a self-driving v...
SoC Machine Learning Software Engineer
In this role, you will be directly involved in our Cellular Modem firmware machine learning efforts, collaborating alongside our internal multi-functional teams and using your expertise in machine learning to improve device performance across diverse modem functions. Have practical experience and kn...
Machine Learning Engineer, Search Recommendation
Optimize the recommender system based on hyperscale machine learning models, covering a range of tasks from recall/first-stage ranking to final-stage ranking in the end-to-end workflow. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, ...
Staff Machine Learning Compiler Engineer, Compute
Knowledge of the principles behind popular machine learning and neural network algorithms and applications. In this hybrid role, you will report to an Engineering Manager. Analyze the performance characteristics of code generated by our production grade compiler and develop and implement engineering...
Machine Learning Engineer - Maps
Research and develop state-of-the art deep learning/machine learning models to improve our perception solutions under challenging and diverse scenarios. Extensive experience in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e. Strong track recor...
Samsung Ads - Machine Learning Engineer, Platform (AdTech)
As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a broad spectrum of large-scale machine learning products with real-world impact. Machine Learning Engineer, Platform page is load...
Machine Learning Engineer
If you are a strong Software Engineer with an aptitude toward Machine Learning / Deep Learning, looking to make a large impact on building cutting edge platforms, this position is for you. We are looking for passionate, hard-working, and talented Software Engineers to help us build a Deep Learning m...
Machine Learning Engineer Graduate (Large Language Models & Generative AI-US) - 2025 Start (BS/MS)
Responsibilities - Responsible for the design and implementation of a global-scale machine learning system for chat bot, feeds, ads and search ranking models - Responsible for leveraging large language models in applications, and improving them via techniques like SFT and RLHF - Responsible for impr...
Sr. Software Engineer- Machine Learning
This position is on the core machine learning team, whose responsibilities include developing and supporting a machine learning as a service platform and infrastructure. Software Engineer- Machine Learning. We looking for smart, motivated machine learners to join our engineering team working on our ...
Machine Learning Engineer, AGI - Web and Knowledge Services
You will design, develop, and deploy scalable and efficient machine learning models and systems to power these transformative multi-modal AI applications. Strong understanding with one or more of the following technologies: XLA, TVM, MLIR, LLVM, deep learning models and algorithms, and deep learning...