Junior Machine Learning Engineer

Hazelland employs 11,100 people across engineering hubs in Washington and three other locations, building ERP software for mid-market manufacturers. Product, engineering and support teams work out of offices in Washington, District of Columbia and two nearshore delivery centres. Laptops are MacBook Pros, and you pick your own editor.

The role

We are adding headcount to this team, so this is a new seat. This hire will help build out our ML platform: feature store, training pipelines, model registry and deployment. This is a long-term contractor role, paid monthly in USD. Expect to work a schedule that overlaps with US Eastern business hours until about noon ET.

In this role you will

• Track experiments, artifacts and versions in MLflow or Weights & Biases
• Fine-tune open-weight models with LoRA when it beats prompting
• Deploy models behind low-latency APIs with FastAPI, Triton, TorchServe or vLLM
• Orchestrate pipelines with Kubeflow, SageMaker Pipelines, Vertex AI or Airflow

About you

• 0-2 years of software engineering experience, with at least two spent on ML systems in production
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data
• Knowledge of LLM APIs, prompt design and evaluation methods
• Hands-on experience with PyTorch, TensorFlow or JAX
• BS or MS in computer science, engineering or a related field

Bonus points

• Guardrails, red teaming or safety evaluation for LLM features
• Computer vision background (OpenCV, detection, segmentation)

What you get

Salary range: $28.50 - $31.00 per hour

• Long-term engagement
• Monthly payments via wire transfer or Wise
• Company laptop

Duration: 6 months. Start: Within 30 days.

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