Senior Field AI Engineer (Remote)

Posted 14 Days Ago
Be an Early Applicant
Hiring Remotely in US
Remote
130K-180K Annually
1-3 Years Experience
Artificial Intelligence • Analytics
The Role
Field AI/Customer Success Engineer at Fiddler AI responsible for acting as a trusted advisor to customers, delivering onboarding services, engaging with technical stakeholders, and developing machine learning model tools. Required to have 2+ years of real-world experience with ML models in production and a BS/MS in Computer Science (AI/ML specialization), Statistics, Mathematics, or equivalent.
Summary Generated by Built In

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

  • You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders
  • 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
  • Knowledge of data science concepts, including developing interpretable machine learning model tools to be used in Fiddler's product
  • 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

What We're Looking For

  • BS/MS in Computer Science (AI/ML specialization), Statistics, Mathematics, or equivalent 
  • 2+ years of real-world experience working with ML models in production
  • Comfortable with Kubernetes and public Cloud environments (AWS, Azure, GCP)
  • 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
  • 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

Pay Range in San Francisco California is $160,000 - $195,000.


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.


Top Skills

Java
Python
SQL
The Company
HQ: Palo Alto, CA
58 Employees
Hybrid Workplace
Year Founded: 2018

What We Do

Fiddler is a pioneer in enterprise Model Performance Management. Data Science, MLOps, and LOB teams use Fiddler to monitor, explain, analyze, and improve their solutions and build trust into AI.

The unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. It addresses the unique challenges of building in-house stable and secure MLOps systems at scale.

Unlike observability solutions, Fiddler seamlessly integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices.

F500 companies use Fiddler across training and production models to accelerate AI time-to-value and scale and increase revenue by connecting predictions to business context (or providing visibility into model performance and behavior).

Why Work With Us

Fiddler's culture is built on the values of humility, respect, kindness, transparency, and collaboration. Fiddlers are driven by the mission of the company and work hard to make a difference towards the cause.

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