…machine learning systems BASIC QUALIFICATIONS: Knowledge of data infrastructure like Kafka, Clickhouse, and Spark Experienced in implementing recommender systems and/or deep learning applications…

…2-8 years of machine learning engineering experience in high-velocity, high-growth companies Strong understanding of both computer systems and statistics Experience developing…

…Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search…

…platform, Multimedia, Security, Virtualization, Performance, Stability, machine learning etc.) Self-driven and comfortable spanning software, hardware, system, and commercialization skills. High level of focus…

…Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning…

…machine learning platform, and maximising the value and impact of our protein optimisation software. For this, you’ll collaborate across Cradle’s engineering, product…

…You will architect and implement advanced machine learning solutions—including recommendation engines, ranking systems, intent detection models, and the integration of intelligence into existing…

…LLM), Machine Learning (ML), Agentic AI techniques. Hands-on experience in using large language models (LLMs) and implementing AI for software engineering workflows. Hands…

…using scripts, power models, spreadsheets and machine learning. You will summarise and present your conclusions and recommendations to the team. As well as driving…

…using scripts, power models, spreadsheets and machine learning. You will summarise and present your conclusions and recommendations to the team. You will share low…

…such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation…

…As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2025, we will…

…machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods. Experience in shipping products to millions of customers or have started…

…Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and…

…apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate…

…processing, large language modeling, deep learning, reinforcement learning, recommendations, ranking, search, or related areas Publications in machine learning, artificial intelligence, or related field Programming…

…You will partner closely with product, engineering, design, operations to build evaluation systems that are trusted, scalable, and actionable - connecting offline metrics to online…

Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and…

…Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc. Excellent understanding of linear…

…Machine Learning applications and developing novel algorithms to optimally leverage Nvidia hardware. Application examples are Large Language Models (LLMs), Computer Vision, Speech, Recommender Systems…

…leadership with actionable insights and recommendations Design and implement end-to-end machine learning pipelines—from feature engineering to model serving— using best in…

…Preferred Qualifications Understand modern and real-world Machine Learning model development workflows and experience partnering closely with ML modeling engineers. Lead technical design reviews…

…Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to…

…Collaborate with cross-functional teams, including researchers, engineers, data scientists, and product managers, to develop and implement machine learning algorithms that improve personalization, recommendations…

…and Machine Learning areas, including Large Language Models (LLMs) and other foundation models, deep learning, search and recommender systems, causal inference, reinforcement learning and…