INACTIVE

Full-Time

Senior Staff Backend Engineer

West, Remote or Hybrid

Posted on 11/1/2023

Fiddler AI

51-200 employees

AI observability and explainability platform

Data & Analytics

AI & Machine Learning

Compensation Overview

$200,000 - $230,000Annually

Senior, Expert

Remote in USA

Required Skills

RabbitMQ

Kubernetes

Python

Postgres

AWS

JIRA

Celery

Data Analysis

Requirements

Deep Knowledge of infrastructure management (AWS / Google Cloud, Kubernetes, or equivalent on-premises technologies)
Experience in building large-scale, distributed analytics data processing systems (OLAP) and/or building infrastructure for Machine learning pipelines, feature and data stores, and model monitoring.
Experience in tuning system performance, efficiency, reliability
Minimum 12 years of experience
BS/MS/PhD in Computer Science or equivalent areas
Preferably Hybrid with 1 - 2 times a week in our Palo Alto office or Remote on the West Coast
Proficiency with Python, Celery, RabbitMQ, Postgres, Grafana, JIRA
Experience with a Clickhouse database is nice to have
A deep understanding of Machine learning is not required but is nice to have
Someone who values and enjoys mentoring and coaching junior team members
Deep knowledge of engineering best practices and experience scaling an enterprise engineering organization

Responsibilities

Shape the technical roadmap for core parts of the product and the underlying infrastructure
Partner with our product and customer-facing teams to enhance and expand our offering and identify new functionalities and opportunities we should target
Design and build a world-class cloud platform to help enterprises monitor and analyze their ML models. Scale the platform to process billions of inference events per day and handle state-of-the-art complex ML models (e.g large language models)
Design enterprise-grade, scalable APIs and flexible integrations to plug into customers’ ML workflows
Recommend and implement engineering best practices across the entire engineering organization, improve the functionality of existing software, and ensure that the design, application, and maintenance of our software meets quality standards
Take an active role in building a world-class engineering team. Coach, mentor and support the engineers across the company.

Our Purpose

At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations to get ahead of these issues by building trustworthy, transparent, and explainable AI solutions.

Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate bias, and drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the “why” and how behind model outcomes.

Our Founders

Fiddler AI is founded by Krishna Gade (engineering leadership at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at Expedia and Microsoft). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital.

Why Join Us

Our team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical. We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.

Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including: 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.

What You’ll Do

Shape the technical roadmap for core parts of the product and the underlying infrastructure
Partner with our product and customer-facing teams to enhance and expand our offering and identify new functionalities and opportunities we should target
Design and build a world-class cloud platform to help enterprises monitor and analyze their ML models. Scale the platform to process billions of inference events per day and handle state-of-the-art complex ML models (e.g large language models)
Design enterprise-grade, scalable APIs and flexible integrations to plug into customers’ ML workflows
Recommend and implement engineering best practices across the entire engineering organization, improve the functionality of existing software, and ensure that the design, application, and maintenance of our software meets quality standards
Take an active role in building a world-class engineering team. Coach, mentor and support the engineers across the company.

What We are Looking For

Deep Knowledge of infrastructure management (AWS / Google Cloud, Kubernetes, or equivalent on-premises technologies)
Experience in building large-scale, distributed analytics data processing systems (OLAP) and/or building infrastructure for Machine learning pipelines, feature and data stores, and model monitoring.
Experience in tuning system performance, efficiency, reliability
Minimum 12 years of experience
BS/MS/PhD in Computer Science or equivalent areas
Preferably Hybrid with 1 - 2 times a week in our Palo Alto office or Remote on the West Coast

Technical skills

Proficiency with Python, Celery, RabbitMQ, Postgres, Grafana, JIRA
Experience with a Clickhouse database is nice to have
A deep understanding of Machine learning is not required but is nice to have
Someone who values and enjoys mentoring and coaching junior team members
Deep knowledge of engineering best practices and experience scaling an enterprise engineering organization

Pay Range in San Francisco California for this role is $200,000 - $230,000

The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package, benefits, and perks previously outlined. Ultimately, in determining pay, we’ll consider your experience, leveling, location, and other job-related factors.

Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Fiddler AI

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Website

View Company Profile

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.

Company Stage

Series B

Total Funding

$45.2M

Headquarters

Palo Alto, California

Founded

2018

Growth & Insights

Headcount

6 month growth

↑ 1%

1 year growth

↑ 25%

2 year growth

↑ 13%

INACTIVE