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End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Use data driven methods and leverage the unique properties of our data to improve candidates retrieval. Familiarity with LLM-powered productivity tools for docu
Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA.
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration. Buil
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Use data driven methods and leverage the
Experience working with OLAP and time series databases like Snowflake, Databricks DBSQL, Clickhouse, and/or InfluxDB. Build, review, and optimize data models/transformations in our data platform using tools like dbt and PySpark. Excellent python and SQL skills; experience working with web frameworks
Machine Learning Engineering TL, Behavior Planning. Define the architecture of our onboard planning models: Develop and deploy large-scale models trained with Imitation Learning and Reinforcement Learning that enable the Aurora Driver to navigate complex environments with human-like fluidity and sup
Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks. The project scientist will make significant and creative contributions in the area of machine learning & data analytics. Expertise in databases, data infrastruct
We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction, strategic planning and execution. Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machin
Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA.
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration. Buil
The role involves leading the design and deployment of large-scale time series forecasting models and continuously enhancing forecasting strategies using advanced machine learning methods. This full-time position offers competitive benefits, including medical insurance and 401(k) contributions. A le
We seek a hands-on leader for the team building the in silico components of ATLAS, spanning machine learning, data science, cheminformatics, and software engineering. Your team’s impact will span from the software foundations of ATLAS – tying our high-throughput chemistry and biology platform in
Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. You love utilizing machine learning techniques to push the boundaries of what is possible wit
Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration. Manager II, Machine Learning Engineering for Homefeed Retrieval Modeling. Build, mentor, and empower a diverse team of 8-9 machine learning engi
AI, Data Science, and/or Machine Learning. Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques. Additionally, you will monitor and evaluate learning processes to continuously improve high
Perform in-depth data analysis and feature engineering on large, complex datasets, with a strong focus on. Solid understanding of core machine learning concepts, algorithms, and best practices including unsupervised learning and reinforcement learning frameworks. Manage the end-to-end machine learni
Partner with leaders across product, engineering, and research to decide how recommendations evolve with our platform. Perks & Benefits for Full-Time Employees.
Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models, as well as integrating to product use cases. Work collaboratively with cross-functional partners including software engineers, product managers, operations and data sc