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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery) Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.
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Data Processing/Transformations: Vector (VRL), Kafka, Apache Spark, and or general ETL applications & approaches. Sets the reporting standards and then works with the Manager of Engineering to analyze reports for such issues as schedule completions for testing, spend levels for NRE costs, yearly license costs etc.
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Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python. Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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The team acts as a “startup within a startup” and consists of 2 dedicated engineers, 1 business generalist, and is led by our CTO John Wang. We’re looking to add a machine learning engineer who’s been an early hire before and thrives in ambiguity.
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More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
$297,400 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Hands-on experience shipping scalable data solutions in the cloud (e.g., AWS, GCP, Azure), across multiple data stores (e.g., Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e.g., dimensional modeling, data marts, star/snowflake schemas.
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This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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We are looking for a highly motivated and experienced Machine Learning Engineer to join our team and help us shape the future of machine learning at Grindr. Lead cutting-edge algorithm development in machine learning and collaborate with other engineering teams to adopt the innovations into Grindr problems.
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The ideal candidate has a strong software engineering background and problem-solving ability along with cloud computing (AWS) and data engineering skill set with prior experience on technologies such as Snowflake, Airflow, dbt, Kafka, Spark, Dask, Python, and Tableau.
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Experience with data and AI technologies and practices such as SQL, MLOps, and generative AI. Experience programming in Python or SQL. You will drive the product vision and roadmap for the Databricks Assistant, a context-aware AI assistant that’s integrated into Databricks Notebooks, SQL Editor, and Dashboard tools.
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Job Summary The machine learning/data engineer will lead the development, implementation, and maintenance of data pipelines and infrastructure to support the deployment and continuous monitoring of Machine Learning (ML) and generative Artificial Intelligence (AI) tools at UCSF Health.
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Data Science | Machine Learning | Statistics | Mathematics | Health-tech | Electronics | Wellbeing | Applied Science | Generative AI | Artificial Intelligence | Multimodal | Speech | Audio | Text Extraction | Stakeholder Management | Technical Leadership | Natural Language Processing | NLP | Computational Linguistics.
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Provides professional geotechnical engineering and construction management support by performing tasks such as: serves as a general engineer providing professional and technical leadership; guidance, and expertise in managing contractor executed construction projects.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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