Staff Backend Engineer (Hybrid) at Fiddler AI

Palo Alto, California, United States

Fiddler AI Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Machine Learning, TechnologyIndustries

Requirements

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Responsibilities

  • 1
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Skills

Key technologies and capabilities for this role

Backend EngineeringAIMLPythonScalabilityObservabilityMonitoring

Questions & Answers

Common questions about this position

Is this a remote position or does it require office work?

The role is hybrid, indicating a mix of remote and in-office work.

What is the salary or compensation for this Staff Backend Engineer role?

This information is not specified in the job description.

What skills are required for the Staff Backend Engineer position?

This information is not specified in the job description.

What is the company culture like at Fiddler AI?

Fiddler AI has a rapidly growing team of intelligent and empathetic doers, thinkers, and creators in an early-stage startup environment with a rapid pace of innovation and monumental learning opportunities.

What makes a strong candidate for this Staff Backend Engineer role?

Strong candidates are builders and thinkers passionate about solving cutting-edge challenges in AI safety, reliability, responsible deployment of machine learning models, LLMs, and agentic applications.

Fiddler AI

AI observability and model monitoring platform

About Fiddler AI

Fiddler AI offers an AI Observability platform specializing in model monitoring, explainable AI, and analytics, with a focus on deep XAI integration for MLOps systems at scale. The platform provides comprehensive XAI integration for stable and secure MLOps systems at scale.

Palo Alto, CaliforniaHeadquarters
2018Year Founded
$65MTotal Funding
SERIES_BCompany Stage
Government & Public Sector, AI & Machine LearningIndustries
51-200Employees

Risks

Competition from tech giants like Google and Microsoft threatens market share.
Rapid AI advancements may outpace Fiddler's platform updates, risking obsolescence.
Over-reliance on venture capital funding poses financial risks if future rounds falter.

Differentiation

Fiddler AI integrates deep XAI and analytics for advanced model capabilities.
It offers a unified environment for MLOps, enhancing trust in AI systems.
Fiddler's platform addresses challenges in building secure MLOps systems at scale.

Upsides

Fiddler's partnership with Google Cloud enhances scalability and customer reach.
Focus on AI safety aligns with industry trends, attracting enterprises seeking responsible AI.
Expansion into finance and healthcare allows tailored solutions for industry-specific needs.

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