ML Ops Engineer, Reality Defender

$140-180k

+ Bonus + Equity

AWS

Docker

Kubernetes

GCP

Python

Linux

Airflow

Terraform

Jenkins

Azure

Drift

Datadog

Mid and Senior level

Remote from US

Enterprise-grade deepfake detection

Be an early applicant

Enterprise-grade deepfake detection

21-100 employees

B2BArtificial IntelligenceSecurityPrivacyIdentity

Be an early applicant

$140-180k

+ Bonus + Equity

AWS

Docker

Kubernetes

GCP

Python

Linux

Airflow

Terraform

Jenkins

Azure

Drift

Datadog

Mid and Senior level

Remote from US

21-100 employees

B2BArtificial IntelligenceSecurityPrivacyIdentity

Company mission

To help companies, governments, and journalists determine if media is real or fake, focusing on audio, video and image manipulation.

Job

Company

Role

Who you are

BS in Computer Science, a related technical field, or equivalent practical experience
3+ years of professional experience in an MLOps, DevOps, or Software Engineering role with a focus on infrastructure
Hands-on experience with at least one major cloud provider (e.g., AWS, GCP, Azure)
Strong proficiency with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Demonstrated experience designing and implementing automated CI/CD pipelines from scratch (e.g., using Jenkins, GitHub Actions)

Desirable

MS in Computer Science or a related technical field
Proficient in Python, with experience writing scientific software and collaborating in code-centric research environments
Deep familiarity with AWS and Terraform - codified VPCs, EKS clusters, IAM least-privilege policies, and multi-account landing zones are second nature to you
Comfortable with ML workflow orchestration and metadata tools such as MLflow or Airflow, and experienced in Linux system administration
Skilled in configuring monitoring and observability platforms like Weights & Biases or Datadog, with the ability to integrate GPU-level metrics and build real-time dashboards tracking utilization, memory, error rates, drift, and latency across training and inference
Strong grasp of the end-to-end machine learning lifecycle, from data ingestion and processing through model training, evaluation, deployment, and monitoring
Experience working with human-centered, complex, and often messy datasets, with domain knowledge in social sciences or adjacent fields such as behavioral research, human-computer interaction, or digital media

What the job involves

Architect and manage our core MLOps infrastructure for model training, validation, and high-availability inference serving
Develop and own our CI/CD/CT (Continuous Integration, Delivery, and Training) pipelines to automate the testing and deployment of ML models
Implement comprehensive monitoring and alerting for model performance, data drift, and system health to guarantee production stability and uptime
Implement and maintain security best practices throughout the ML lifecycle, including data privacy, access management, and infrastructure hardening, in close collaboration with security and engineering teams
Partner closely with the AI and Engineering teams to streamline workflows, remove bottlenecks, and empower them to deliver value faster

Our take

Reality Defender was born out of The AI Foundation to help protect the 2020 US Elections from the threat of deepfakes. It officially launched as a company in 2021, based in New York. Today there continues to be a genuine issue where the public cannot decipher what is true or false online due to the existence of easily-created deepfakes.

Reality Defender's platform empowers enterprises to highlight and flag fraudulent users and content found online. Its API and app also provide risk scoring, reporting, and forensics review.

Reality Defender was selected as part of Y Combinator’s 2022 batch, the same backing received by Monzo, Airbnb and Stripe in their early days. This backing paired with the founding team’s experience of over twenty years at Google, Goldman Sachs, and the Intelligence Community, as well as its 2023 award win, has worked well for this very early-stage startup.

Freddie

Company Specialist at Welcome to the Jungle

Company

Company HQ

Manhattan, New York, NY

Leadership

Gaurav Bharaj

(Co-Founder)

Previously the Chief Science Officer at Flawless, the Vice President of Research for The AI Foundation and a Senior Researcher for Technicolor.

Ali Shahriyari

(Co-Founder & CTO)

Previously acted as the Director of Product for The AI Foundation and as a Vice President for Originate.

Ben Colman

(Co-Founder & CEO)

Co-founded PlaceAVote. Previously acted as NYC Lead for Xoogler.co, CEO for Convertix, and Vice President for Goldman Sachs.

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