ML Engineer, LLM

Everything runs on a single Rails app and one Postgres database, deployed on Heroku. We are a small, self-funded team building a booking app for independent salons and tattoo studios. Founded in 2004, we now have 15 employees. Most engineers work remotely and come into the office one week a quarter for planning.

The role

The role is new and comes from growth in our client base. ML engineering role focused on pipelines, serving and monitoring. You'll work alongside data scientists rather than replace them. The operations team trains and serves models that run on every customer request. We need someone who cares about latency as much as accuracy. This is a long-term contractor role, paid monthly in USD. Core hours overlap with Sydney business hours until mid-afternoon. We talk mostly in Slack and hop on quick calls when something needs discussing.

Main duties

• Fine-tune open-weight models with LoRA when it beats prompting
• Monitor models for drift, data quality issues and latency regressions
• Maintain feature pipelines and a feature store such as Feast or Tecton
• Cut inference cost with quantization, batching and caching

Requirements

• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data
• BS or MS in computer science, engineering or a related field
• Experience deploying models as services and monitoring them
• Strong Python and solid engineering habits (testing, packaging, code review)
• Hands-on experience with PyTorch, TensorFlow or JAX

Desirable

• Distributed training with DeepSpeed or FSDP

Why work with us

Salary: $76.50-$83.00 per hour

• Monthly payments via wire transfer or Wise
• Company laptop
• Paid in USD

Please include a short note on why this role interests you.

Duration: 12 months. Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Kennedy Cloud.