Senior AI Engineer at Saga | Los Altos, United States
Company/Recruiter: Saga
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Opportunity type
Job
Location
United States of America, California, Los Altos
Work arrangement
Location-based; remote work not stated
Compensation
Not disclosed
Employer
Saga
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MorrJobs preparation notes
Role shape: Responsibility-led role with a detailed skills profile.
Evidence to prepare: Connect your CV or portfolio to Proven experience in AI/ML engineering, with a strong portfolio of relevant projects.; Expertise in programming languages such as Python and relevant AI frameworks (e.g., TensorFlow, PyTorch).. Use one concrete example that shows you can Design and implement novel AI algorithms and models for agent behavior, natural language processing, and computer vision..
Check before applying: Confirm that United States of America, California, Los Altos and the stated work arrangement suit you.
- No closing date is listed; confirm that the opportunity is still open before applying.
- The application route is available to verified Talent accounts.
- Compensation is not disclosed in the listing; confirm it during the employer's process.
Job Overview
The Senior AI Engineer will play a pivotal role in designing, developing, and deploying advanced AI models and systems that power our cutting-edge AI agents. This position requires a deep understanding of AI principles, machine learning techniques, and large-scale system architecture.Key Responsibilities
- Design and implement novel AI algorithms and models for agent behavior, natural language processing, and computer vision.
- Develop and optimize machine learning pipelines for training and inference.
- Collaborate with cross-functional teams to integrate AI solutions into our platform.
- Conduct research and experimentation to push the boundaries of AI agent capabilities.
- Ensure the scalability, reliability, and performance of AI systems.
Requirements
- Proven experience in AI/ML engineering, with a strong portfolio of relevant projects.
- Expertise in programming languages such as Python and relevant AI frameworks (e.g., TensorFlow, PyTorch).
- Solid understanding of machine learning theory, deep learning, and natural language processing.
- Experience with cloud platforms (e.g., AWS, GCP) and distributed systems.
- Strong problem-solving skills and the ability to work independently and collaboratively.
What We Offer
- Opportunity to work on groundbreaking AI technology.
- Collaborative and innovative work environment.
- Chance to shape the future of AI agents and digital interaction.
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