Overview of the role

At FRND, you’ll build, ship, and own the ML systems that help keep millions of real-time interactions protected, while also pushing the boundaries with new AI experiments.

FRND is built around live social interaction. People connect through 1:1 video calls, audio rooms, many-to-many conversations, and messaging across dozens of languages, all in real time. ?

As a Machine Learning Engineer, you’ll work on problems that are both high-scale and high-impact, taking ML problems from dataset design all the way to production inference. You’ll work closely with Backend, Product, and Moderatio teams to turn complex safety challenges into models that actually work in the real world.

? What You’ll Do

? Design, train, and deploy production ML models across image/video, audio, and text.
? Own the complete model lifecycle, from dataset design and labelling guidelines to training, fine-tuning, evaluation, deployment, monitoring, and retraining.
⚡ Build and scale low-latency inference services for real-time moderation using Python, PyTorch, Docker, Kubernetes,



and streaming infrastructure such as Kafka.
? Define the metrics that actually matter for safety, including precision at a fixed recall, performance across languages and geographies, and the real cost of false positives on genuine users.
? Use LLMs and foundation models pragmatically for labelling, policy classifiers, and evaluation, while balancing cost, accuracy, and latency.
? Partner with Moderation and Policy teams to analyse misclassifications, close the data loop, and translate evolving safety policies into model behaviour.
? Continuously improve model performance, throughput, and serving costs through techniques such as distillation, optimization, and refactoring.
?️ Set engineering standards across the ML stack, reproducible training, experiment tracking, versioned datasets and models, and reliable production workflows.
? Mentor junior engineers and interns and help raise the overall engineering

📌 Machine Learning Engineer (Bengaluru)
🏢 FRND
📍 Bengaluru