Machine Learning Engineer

Annual releases gave way to two-week sprints years ago, and the platform now handles over 200 million API calls a day. Most engineers work remotely and come into the office one week a quarter for planning.

Overview:

We have an immediate opening for a Machine Learning Engineer in Springdale. ML engineering role focused on pipelines, serving and monitoring. You'll work alongside data scientists rather than replace them. Hybrid. You will need to be in Springdale at least two days per week.

In this role you will:

• Document model cards, data sources and known failure modes.
• Cut inference cost with quantization, batching and caching.
• Set up evaluation harnesses and regression tests for model quality.
• Productionize data science prototypes without rewriting everything.
• Track experiments, artifacts and versions in MLflow or Weights & Biases.
• Handle on-call for the ML services the team owns.
• Build training pipelines in PyTorch or TensorFlow and run them on GPUs in AWS, GCP or Azure.
• Deploy models behind low-latency APIs with FastAPI, Triton, TorchServe or vLLM.

Minimum qualifications:

• 3+ years of software engineering experience, with at least two spent on ML systems in production.
• Strong Python and solid engineering habits (testing, packaging, code review)
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data.
• Familiarity with Docker, Kubernetes and a cloud ML platform (SageMaker, Vertex AI, Azure ML)
• BS or MS in computer science, engineering or a related field.
• Comfortable with SQL and large-scale data processing in Spark or Ray.

Nice to have:

• CUDA or Triton kernel experience.
• Computer vision background (OpenCV, detection, segmentation)
• Published papers or open source ML contributions.
• Recommendation or ranking systems at scale.

Salary range: $146,000 to $189,000/year

Benefits:

• Health savings account (HSA) with employer contribution.
• 401(k) with 4% match.
• 12 weeks of paid parental leave.
• Cell phone reimbursement.
• Hybrid work.

EOE. We participate in E-Verify.

Start: Flexible.

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