ML Engineer

Who we are

Sellers use the platform to list used outdoor gear, and we handle payments, shipping labels and buyer protection.

About the role

This is a new position created as the team has grown over the last year. We're looking for an engineer to build retrieval-augmented generation features on hosted and open-weight language models, with proper evaluation. You can work from home anywhere in the US. We have no office requirement. We keep meetings to a minimum and work mostly async. Communication happens mostly in Slack and short video calls.

What you'll work on

• Track experiments, artifacts and versions in MLflow or Weights & Biases.
• Monitor models for drift, data quality issues and latency regressions.
• Deploy models behind low-latency APIs with FastAPI, Triton, TorchServe or vLLM.
• Fine-tune open-weight models with LoRA when it beats prompting.
• Handle on-call for the ML services the team owns.

What we're looking for

• 3-5 years of software engineering experience, with at least two spent on ML systems in production.
• Hands-on experience with PyTorch, TensorFlow or JAX.
• Familiarity with Docker, Kubernetes and a cloud ML platform (SageMaker, Vertex AI, Azure ML)

Preferred qualifications

• Distributed training with DeepSpeed or FSDP.
• Computer vision background (OpenCV, detection, segmentation)

Pay and benefits

Starting pay: $162,000 - $200,000/year, depending on experience and certifications.

• Health insurance.
• 401(k) with a 100% match up to 5%.
• Paid sick leave.
• Employee assistance program.
• Referral program.
• Life insurance.

Start: Flexible.

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