Senior Field AI Engineer, Fiddler AI

Salary not provided

MongoDB

AWS

Kubernetes

GCP

Python

Kafka

Airflow

Tensorflow

Hadoop

Azure

Spark

RabbitMQ

Scikit-Learn

Luigi

Kubeflow

Snowflake

PyTorch

Kinesis

BigQuery

REST API

Senior and Expert level

Remote from Canada

Enterprise AI observability

Be an early applicant

Enterprise AI observability

21-100 employees

B2BArtificial IntelligenceBig dataMachine LearningSaaSData Analysis

Be an early applicant

Salary not provided

MongoDB

AWS

Kubernetes

GCP

Python

Kafka

Airflow

Tensorflow

Hadoop

Azure

Spark

RabbitMQ

Scikit-Learn

Luigi

Kubeflow

Snowflake

PyTorch

Kinesis

BigQuery

REST API

Senior and Expert level

Remote from Canada

21-100 employees

B2BArtificial IntelligenceBig dataMachine LearningSaaSData Analysis

Company mission

To build trust into Artificial Intelligence.

Job

Company

Role

Who you are

Masters with no experience or Bachelors in Computer Science (AI/ML specialization), Statistics, Mathematics, or equivalent, and 7+ years of experience
2+ years of real-world experience working with ML models in production
Familiarity with Kubernetes in the public Cloud environments (AWS, Azure, GCP)
Knowledge of data science concepts, including developing interpretable machine learning model tools to be used in Fiddler’s product
Working knowledge of tools used for structured and unstructured data, messaging, and workflow tools at scale. Tools like Hadoop, MongoDB, Snowflake, BigQuery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLFlow, Luigi, Kubeflow, Argo
Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
Understanding of ML/DS concepts, model evaluation strategies, and lifecycle (feature generation, model training, model deployment, batch and real-time scoring via REST APIs), and engineering considerations
Understanding of Generative AI, Large Language Models, and related concepts like agents, RAG, etc
Strong coding skills, preferably in Python
Experience with large-scale industrial applications of deep learning in domains like Computer Vision, NLP, and/or Speech-to-Text, a plus
Excellent organizational, communication, writing, and interpersonal skills
Curiosity, ownership, empathy towards customers, willingness to learn new things, and desire to inspire others are values we care

What the job involves

You will act as a trusted advisor to our customers while also building relationships with technical stakeholders
Work alongside a Fiddler Delivery Manager to help deliver Fiddler onboarding services for our new customers
You will act as the “Voice of the Customer”; regularly engaging them on status calls, educating on product roadmap and QBRs, managing escalations, while influencing our roadmap in partnership with our Product team
Become a Fiddler AI Observability product specialist in order to help customers utilize the platform to meet their observability needs
Ensure technical success for customer onboarding by writing custom code to integrate with their data pipeline using tools like Snowflake, Airflow, MLFlow, S3, Kafka, etc
Develop Fiddler platform integration to expedite onboarding with data platforms, workflow tools, and ML platform
Spearhead new opportunities in which Fiddler can provide the most value that will drive renewals and expansion

Our take

AI and machine learning are increasingly shaping the way organizations make decisions. However, one major challenge is that AI technology often operates as a "black box". Unlike traditional software, where developers can review code to understand its logic, AI systems can be opaque, making it difficult for companies to fully grasp how data is interpreted and outcomes are reached.

Fiddler AI aims to address this gap with an explainable AI platform that offers transparency into how models make predictions. By providing clear insights into decision-making processes and enabling adjustments when bias is detected, Fiddler enhances trust and accountability in AI systems.

This focus on building trust in AI comes at a crucial time, as the market is expected to grow over 30% annually, reaching nearly $300B by 2026. Fiddler AI has already partnered with major banking institutions and online brands like Etsy. And with recent funding, Fiddler is well-positioned to compete with rivals like Reflektion and Conviva.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

-4% employee growth in 12 months

Glassdoor (4.3)

Company

Funding (last 2 of 5 rounds)

Dec 2024

$18.6m

SERIES B

Jun 2021

$32m

SERIES B

Total funding: $66.8m

Company benefits

Equity
401K benefits
12 holidays and 3 company recharge days
Flexible spending account
Bi-monthly team building events
Commuter benefits for Palo Alto
Monthly gym reimbursement
Annual home office stipend
Medical, dental, vision, and life insurance
15 PTO days and 10 sick days
Paid parental leave for 18 weeks
Hybrid collaboration
In-office lunch, snacks, coffee
Monthly massages for Palo Alto
Annual learning stipend

Company HQ

Ventura, Palo Alto, CA

Leadership

Krishna Gade

(Co-Founder & CEO)

Former member of Specialized Types and Engineering Manager at Facebook. They also worked as the Head of Engineering at Pinterest.

Amit Paka

(Co-Founder & COO)

Former Senior Director of Product Management at Samsung Mobile. Founder and former CEO at Parable. Former Head of Product at Paypal.

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