Senior AI Engineer (Trust and Safety) at dreamerlabs | AU | Rezi

Senior AI Engineer (Trust and Safety) at dreamerlabs

Senior AI Engineer (Trust and Safety)

dreamerlabs · AU

Today

Senior AI Engineer (Trust and Safety)

dreamerlabs · AU

16 hours ago
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About the Role

You will own the models that ensure product safety end-to-end. This includes defining detection needs, working with labelers on data, training and evaluating models on GPUs, deploying them to production, and continuously measuring and improving their performance. You will have the autonomy to decide what to build and how, from traditional classifiers to LLMs, and will be accountable for the accuracy, latency, and cost of models processing millions of images and messages daily.

Responsibilities

  • Define moderation model requirements.
  • Collaborate with labelers on data preparation.
  • Train and evaluate moderation models on GPUs.
  • Deploy moderation models into production.
  • Measure and improve model performance post-deployment.
  • Develop and implement image moderation solutions.
  • Develop and implement chat moderation solutions using LLMs and classifiers.
  • Optimize the model retraining loop to under a week.
  • Automate parts of content review and user banning processes with safeguards.

Requirements

  • Demonstrated ability to build technically complex products at scale.
  • Experience solving hard problems in depth.
  • Ability to clearly explain technical work and its challenges.
  • Product judgment: ability to identify valuable features and support with evidence.
  • Experience owning customer-facing products.
  • Proven track record of end-to-end ownership, from ambiguous problem to shipped product.
  • Experience building moderation or safety models at scale.
  • Knowledge of proper handling of sensitive data.
  • Rigorous and pragmatic approach to problem-solving.
  • Ability to ask clarifying questions about impact, cost, and user base.
  • Proficiency in running experiments and analyzing results.
  • Ability to distinguish between building robust solutions and simple ones.
  • Clear and concise communication skills, supported by data.
  • Constructive approach to challenging ideas.
  • Curiosity about AI and its applications.
  • Ability to stay updated with new AI models and tools.
  • High standards and a desire to win.
  • Desire for responsibility and ownership of important initiatives.

Skills

  • Generative AI
  • Model fine-tuning
  • Model deployment
  • Model training
  • Model evaluation
  • LLMs
  • Classifiers
  • Image moderation
  • Chat moderation
  • Data labeling
  • Active learning
  • Retraining loops
  • Synthetic data generation
  • Adversarial robustness
  • Vision classifiers
  • VLMs
  • Text moderation
  • TypeScript
  • Next.js
  • React
  • tRPC
  • Postgres
  • ClickHouse
  • Temporal
  • AWS
  • Python

Location

  • North Sydney

Work Type

  • Onsite
  • Full-time

Experience Level

  • Staff Engineer
  • Principal Engineer
  • Distinguished Engineer
  • Tech Lead
  • Head of Engineering
  • Founder

Salary/Compensations

  • Above-market pay
  • Meaningful equity

Benefits

  • All meals covered (breakfast, lunch, dinner)
  • Stocked fridges
  • Company card
  • Unlimited workspace budget (food, coffee, software, AI tools, equipment)
  • Dog-friendly office
  • Big balcony for working outdoors
  • Optional team socials (gym, running, swimming, escape rooms)
  • Visa sponsorship for relocating engineers

About the Company

  • Building a new category of entertainment: interactive experiences powered by AI characters, chat, voice, image, and video, shaped in real-time.
  • Achieved 20 million monthly visitors.
  • Ranked as a top 1,000 website globally.
  • Processes 250 billion tokens daily.
  • Generates 1.2 million images and videos daily.
  • Serves 350+ model requests per second from a proprietary GPU fleet.
  • Profitable and bootstrapped.
  • Focuses on working close to the metal on generative AI.
  • AI-first approach to building, utilizing the latest AI coding tools.
  • Operates with a flat structure, no levels, and no management layers.
  • Team includes experienced engineers from major tech companies.
  • Works directly with the founders.
  • Views itself as a competitive sports team focused on winning.
  • High-intensity environment.