145 applicants

Company

Original Job Post

O'Reilly · 6 days ago

Senior Machine Learning Engineer

United States

Full-time

Remote

Senior Level

$140K/yr - $160K/yr

4+ years exp

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Responsibilities

Lead end-to-end development of machine learning models, from data exploration to model deployment

Collaborate with cross-functional teams, including data scientists and other software engineers

Consult with product managers and business stakeholders to define new project requirements and design solutions that meet those needs

Design and implement scalable and efficient data pipelines, such as GCP Dataflow pipelines, to preprocess and transform raw data for machine learning models

Develop and tune machine learning models using libraries such as TensorFlow, Keras, Scikit-learn or PyTorch

Monitor and analyze model performance and continuously improve them over time

Building and maintaining web services that provide personalization services using machine learning models to end users. This can include building API, processing data, as well as building any other systems required to meet our goals

Leverage AI to drive efficiency and optimize processes within the organization

Stay up-to-date with the latest research and trends in AI, and find the opportunity to apply them to our business

Mentor other engineers, fostering their growth and development

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningProductionizingData SciencePythonNLPData ProcessingDataflow PipelinesRAGVector DatabaseLLMsGenerative AIPrompt EngineeringAI Product EvaluationML LibrariesTensorFlowKerasScikit-learnPyTorchProblem-SolvingCritical-ThinkingCommunicationCollaborationIndependenceTeamworkGCP Dataflow PipelinesGCP BigTableBigQueryRelational Databases

Required

Bachelor's degree in Computer Science, Statistics, Mathematics, or Engineering-related field

In lieu of a degree, equivalent experience and relevant skills may be considered

4+ years of on-the-job experience in developing, implementing, productionizing machine learning applications and systems, with at least 1 year of that in a senior role (or equivalent)

Proven experience in developing and deploying machine learning models at scale

Proficiency with popular data science and machine learning libraries, such as Pandas, NumPy, TensorFlow, Keras, Scikit-learn or PyTorch

Strong programming skills in Python and familiarity with relevant ML libraries and frameworks

Experience with Natural Language Processing (NLP) techniques

Familiarity with data processing techniques with any dataflow pipelines

Familiarity with Retrieval Augmented Generation (RAG)

Experience with any vector database

Experience with LLMs and Generative AI

Expertise in Prompt Engineering

Experience in AI product evaluation

Strong problem-solving skills and critical-thinking competencies

Excellent communication and collaboration skills. Ability to work independently as well as in a team

Preferred

Experience with GCP Dataflow Pipelines

Experience with GCP BigTable, BigQuery, or relational databases

Company

O'Reilly

Glassdoor

3.9

O’Reilly provides technology and business training, knowledge, and insight to help companies succeed.

Founded in 1978

Sebastopol, California, USA

201-500 employees

http://www.oreilly.com

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