עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
Join the innovative Generative AI group, to help build the next generation of awesome products and experiences using cutting-edge technology.
If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
You will collaborate with many teams and contribute to many components in different business units. We love engineers who lead the change, communicate with customers, and deliver the most beautiful and intuitive applications.
In this role, youll:
Be part of a vibrant team of Data Scientists and ML Engineers
Be expected to help code, optimize, and deploy GenAI models at scale, using the latest industry tools and techniques
Help automate, deliver, monitor, and improve GenAI solutions
#LI-Hybrid
Responsibilities:
Design and build systems, which improve Generative AI inference, quantization, optimization, finetuning, and evaluation.
Work cross-functionally with product managers, data scientists, and engineers to understand, implement, refine, and design Generative AI models.
Effectively communicate results to peers and leaders.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.
Interact with a variety of data sources, working closely with peers and partners to refine features from the underlying data and build end-to-end pipelines.
If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
You will collaborate with many teams and contribute to many components in different business units. We love engineers who lead the change, communicate with customers, and deliver the most beautiful and intuitive applications.
In this role, youll:
Be part of a vibrant team of Data Scientists and ML Engineers
Be expected to help code, optimize, and deploy GenAI models at scale, using the latest industry tools and techniques
Help automate, deliver, monitor, and improve GenAI solutions
#LI-Hybrid
Responsibilities:
Design and build systems, which improve Generative AI inference, quantization, optimization, finetuning, and evaluation.
Work cross-functionally with product managers, data scientists, and engineers to understand, implement, refine, and design Generative AI models.
Effectively communicate results to peers and leaders.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.
Interact with a variety of data sources, working closely with peers and partners to refine features from the underlying data and build end-to-end pipelines.
Requirements:
LLM experience: LangChain, vLLM, HuggingFace toolkit.
Machine Learning oriented languages, tools, and frameworks: Spark, Python
Cloud technologies, in particular AWS, and Software container technology: Docker, Kubernetes, KubeFlow / MLflow.
Experience with designing and developing Generative AI architectures
Machine learning techniques (classification, regression, and clustering) and principles (training, validation, and testing).
Data query and data processing tools or systems: relational, NoSQL, stream processing.
Distributed computing systems and related technologies: Spark, Hive.
Software engineering fundamentals: version control systems (Git, Github) and workflows, and ability to write production-ready code.
Computer science fundamentals: data structures, algorithms, performance, complexity, and implications of computer architecture on software performance (I/O and memory tuning).
Mathematics fundamentals: linear algebra, calculus, probability.
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
LLM experience: LangChain, vLLM, HuggingFace toolkit.
Machine Learning oriented languages, tools, and frameworks: Spark, Python
Cloud technologies, in particular AWS, and Software container technology: Docker, Kubernetes, KubeFlow / MLflow.
Experience with designing and developing Generative AI architectures
Machine learning techniques (classification, regression, and clustering) and principles (training, validation, and testing).
Data query and data processing tools or systems: relational, NoSQL, stream processing.
Distributed computing systems and related technologies: Spark, Hive.
Software engineering fundamentals: version control systems (Git, Github) and workflows, and ability to write production-ready code.
Computer science fundamentals: data structures, algorithms, performance, complexity, and implications of computer architecture on software performance (I/O and memory tuning).
Mathematics fundamentals: linear algebra, calculus, probability.
BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
רעננה
