Junior Machine Learning Engineer – Alerts Team

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🕒 June 17

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Samster, Konkel & Safran Law Offices

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Samster, Konkel & Safran Law Offices is a Milwaukee-based law firm specializing in personal injury cases. With over 100 years of collective experience, the firm focuses on representing clients who have been injured due to another party's negligence. Their practice areas include car accidents, truck accidents, construction injuries, defective products, and more. They also handle civil rights cases, such as illegal searches and excessive force. Known for their commitment to client success, they offer personalized legal services and ensure that clients work directly with attorneys. The firm highlights their successful case results and provides free initial consultations to assess new cases.

📋 Description

• Model Development & Fine Tuning: Design, build, and deploy ML models across the full lifecycle • Fine-tune and adapt LLMs using domain-specific alert data • Upgrade models to newer versions • Work hands-on with Python ML libraries such as PyTorch, TensorFlow, Hugging Face, and XGBoost • Collaborate with data and engineering teams to build scalable ML pipelines • AI Agent Development & LLM Orchestration: Design and implement AI agents • Integrate with OpenAI and Anthropic APIs • Ensure agent workflows are observable, testable, and fault-tolerant in production • Monitor and report on model performance, drift, and inference latency in production • Technical Excellence: Set the bar for code and model quality through rigorous review of code, experiments, and evaluation results.

🎯 Requirements

• 2+ years of professional experience in a machine learning or applied ML engineering role • Familiarity with NLP, text classification, or information retrieval (a strong asset given our domain) • Comfort working with large, noisy, real-world datasets • Demonstrated experience building and operating AI agents or LLM-powered systems in production • Hands-on experience with OpenAI and/or Anthropic APIs, including tool use, streaming, and prompt management • Experience evaluating the outputs of ML components (ie precision and recall).

🏖️ Benefits

• Professional development opportunities • Flexible work arrangements