Senior Machine Learning Engineer

Traffic during holiday peaks can reach ten times normal levels, and the platform is built for it. Our engineering, trust and safety, and customer support teams work across offices in Los Angeles and several other countries. Core hours are 10 to 3, and the rest of the day is flexible.

The role:

Ravenworth Labs is hiring for the Senior Machine Learning Engineer role to take models from notebook to production and keep them working once they're there. Our team is spread across 6 countries. Headquarters is in Los Angeles. We hire in India through an employer of record, so this is a regular full-time job with local payroll and statutory benefits. You will need at least 3 hours of overlap with US Pacific time. We use Slack, Notion and Google Meet. Cameras on for team calls.

Your responsibilities:

Track experiments, artifacts and versions in MLflow or Weights & Biases. Orchestrate pipelines with Kubeflow, SageMaker Pipelines, Vertex AI or Airflow. Fine-tune open-weight models with LoRA when it beats prompting. Develop RAG pipelines with embeddings, vector stores (pgvector, Pinecone, Weaviate) and rerankers. Monitor models for drift, data quality issues and latency regressions. Build training pipelines in PyTorch or TensorFlow and run them on GPUs in AWS, GCP or Azure.

Requirements:

5-7 years of software engineering experience, with at least two spent on ML systems in production. BS or MS in computer science, engineering or a related field. Strong Python and solid engineering habits (testing, packaging, code review).

Perks and benefits:

Annual learning budget. Co-working space stipend. Paid parental leave. Performance bonus. Flexible hours. 24 days paid time off.

If you are shortlisted, we will reach out to set up a first call.

Start: Immediately.

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