You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. We’re hiring a
The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. Work with large scale structured and u
The senior statistical programmer will gather and interpret user requirements for programming requests, retrieve required data, transform data into analysis/modeling datasets, and develop tables, listings and figures according to statistical/modeling analysis plan. Programming expertise with clinica
Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. Extract, load and transform data (ETL) from structured and unstruct
Develop deep understanding of borrower behavior, repayment dynamics, and portfolio structure across both products, and use that to inform model design and decision logic. Contribute analysis and perspective that inform portfolio-level decisions, including explaining model behavior, tradeoffs, and un
This role reports to the Chief Health Information Officer (CHIO) and will develop and oversee the data team which currently includes the Senior Manager of Data and Impact, Data Engineer, and multiple external contractors and consultants. To support our impact at scale, the Learning Center i
You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into a production environment, ideally as part of product teams delivering to external customers. You will design and ship predictive models and data products, improve the quality a
We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. These datasets are used to power our generative audio models. BigQuery, Google Dataflow/Apache Beam.
Prototype and train learning-based models using a data-centric approach, applying techniques such as automated feature engineering, active learning, and fine-tuning on curated datasets; Design, develop, and maintain efficient data and feature extraction pipelines to support ML engineers in accessing
The Engagement Modeling Team at Reddit focuses on building machine learning models to drive on-platform user engagement with diverse media and content, with a focus on predictive modeling to improve interactions of click-throughs and video view-throughs. Partner with PMs, data scientists, and other
A successful candidate would possess these skills Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead
Job Description Big Data Engineer – Hive, Spark, Scala – Phoenix, AZ – Onsite (Hybrid) – Contract W2 – 24+ Months Position: Big Data Engineer with Hive, Spark, and Scala Qualifications Minimum 7 years experience as a Big Data Engineer or Scala Developer, with a strong focus on big data t
Design and refine machine learning models tailored to the retail industry, enhancing our predictive capabilities and market understanding. We are seeking a visionary Senior Product Manager to lead our Machine Learning Operations initiatives, focusing on developing retail-specific models and a user