primer.ai

primer.ai is a technology-driven company focused on providing innovative AI solutions to enhance customer success and streamline operational efficiencies.

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Jobs at this company:

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🔥 Senior Python Engineer

Posted 5 months ago

📍 San Francisco, CA, Washington, DC, Pasadena, CA

💸 160000.0 - 230000.0 USD per year

🔍 Artificial Intelligence, Natural Language Processing, Machine Learning

🔧 Requirements

Expertise in Python and another Object-Oriented language.
Expertise in Flask, ElasticSearch, PostgreSQL, Redis.
Experience leading commercial software technical features end-to-end in an agile environment.
Strong modeling and design patterns for extensibility and resiliency.
Experience with data ingestion, processing and retrieval systems at scale.
Experience with real-time and distributed systems.
5+ years of shipping production grade software.

💡 Responsibilities

Develop new application features leveraging ingest pipelines and model library for analyzing unstructured data.
Collaborate with cross-functional teams on designing information retrieval architecture.
Extend platform capabilities working alongside machine learning engineers and data scientists.
Integrate features such as event detection, summarization, entity recognition, and multilingual NLP.

PostgreSQLPythonAgileElasticSearchFlaskMachine LearningRedis

Posted 5 months ago

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🔥 Staff Machine Learning Research Scientist

Posted 7 months ago

📍 San Francisco, CA; Washington, DC

🧭 Full-Time

💸 180000 - 250000 USD per year

🔍 Artificial Intelligence

🔧 Requirements

Graduate degree in computer science or related field
5+ years in machine learning with a focus on machine learning research
Demonstrated track record of publications and/or open source projects
Hands-on experience with machine learning and NLP tools and libraries from Numpy to PyTorch
Curiosity, enthusiasm, and a love for teaching and learning

💡 Responsibilities

Track and understand the machine learning research landscape
Make strategic technology investments for Primer’s leadership in ML
Design, lead, and review experimental work
Collaborate with cross-functional teams to drive the technology roadmap
Lead and mentor data scientists for their growth
Improve best practices and motivate high standards across the company

LeadershipPythonArtificial IntelligenceData AnalysisMachine LearningNLTKNumpyPyTorchCross-functional Team LeadershipAlgorithmsData scienceGoPandasTensorflowCommunication SkillsAnalytical SkillsCollaborationMentoring

Posted 7 months ago

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🔥 Staff Machine Learning Engineer

Posted 7 months ago

📍 San Francisco, CA, Washington, DC

🧭 Full-Time

💸 180000 - 250000 USD per year

🔍 Artificial Intelligence

🔧 Requirements

BS, MS, or PhD degree in computer science, related field or equivalent practical experience.
5+ years as a backend software engineer integrating and deploying ML-driven functionality.
Mastery of data structures and algorithms, able to use them practically.
Experience with machine learning algorithms and tools such as Numpy, PyTorch, TensorFlow; bonus for experience with LLMs and NLP.
Experience authoring APIs in Python or Golang.
Curiosity, enthusiasm, and a love for teaching and learning.

💡 Responsibilities

Understand the landscape of NLP problems and help make strategic investments.
Design & develop distributed architectures, libraries, and systems impacting the company.
Integrate with features like event and topic detection, relationship extraction, etc.
Collaborate with cross-functional teams to drive technology vision and roadmap.
Triage and debug issues, identifying their sources and impacts.
Improve and promote engineering best practices across the company.

LeadershipPythonArtificial IntelligenceDesign PatternsMachine LearningNumpyPyTorchAlgorithmsData scienceData StructuresGoTensorflow

Posted 7 months ago

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🔥 Staff Python Engineer

Posted 9 months ago

📍 United States, California, Washington, D.C.

🧭 Full-Time

💸 210000 - 240000 USD per year

🔍 Artificial Intelligence, Natural Language Processing

🔧 Requirements

Experience leading commercial software technical projects end-to-end in an agile environment.
Experience with data ingestion, processing, and retrieval systems at scale.
Experience with containerization and orchestration technologies, such as Kubernetes.
Experience with deployment automation tools like GitHub Actions.
5+ years of shipping production-grade software.
Expertise in Python and Golang.
Expertise in Flask, ElasticSearch, PostgreSQL, Redis.

💡 Responsibilities

Architect and extend scalable ingest pipelines and data stores for large volumes of data.
Design, package, and optimize the Delta product for diverse deployment environments.
Collaborate with teams on information retrieval architecture for document and graph analysis.
Work with machine learning engineers to extend platform capabilities while maintaining performance metrics.
Integrate with features such as event detection, relation extraction, and multilingual NLP.

AWSPostgreSQLPythonAgileElasticSearchFlaskGCPKubernetesMachine LearningAlgorithmsAzureGoRedisTerraform

Posted 9 months ago

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