ML Engineer, LLM & MLOps — Sourcing AI Innovator

Indeed; Columbus (OH); On-site; USD 118,000 - 176,000; Full time

Benefits offered by this job

401k plan

Equity-based incentives

Open paid time off

11 paid holidays

Parental leave (up to 26 weeks)

Job summary

Indeed is seeking a Machine Learning Engineer for the Sourcing team in the United States. You will develop models from prototype to production, implement MLOps practices, and collaborate across teams to apply model inferences to our Sourcing product, helping employers connect with talent.

The role emphasizes training and evaluating language models, with strong Python/SQL skills and a background in ML frameworks. A bachelor’s degree is required, with potential advanced degrees.

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 2 years of related experience; or an advanced degree without experience.
• Familiarity with agent orchestration frameworks and LLM observability tools.
• Significant domain knowledge with training, fine‑tuning, and evaluating language models.
• Knowledge and practical experience working on ML/LLM/Deep Learning models (like Torch, Tensorflow, Huggingface, XGBoost, etc.).
• Python and SQL programming experience.

Responsibilities

• Develop a variety of models from prototype to production.
• Implement best practices for evaluation, monitoring, and Machine Learning Operations (MLOps).
• Partner with cross‑functional teams across the company on model inference and product applications.
• Participate in code review and process innovation for the team’s software engineers and Machine Learning Engineers, and document your work.
• Prioritize technical and product thinking, and show ownership for team priorities and Indeed’s mission to help people get jobs.

Skills

Python

SQL

ML/DL models

LLM observability

Agent orchestration

ML frameworks

Education

Bachelor’s degree

Advanced degree

Tools

Torch

TensorFlow

HuggingFace

XGBoost

Job description

Indeed is seeking a Machine Learning Engineer for the Sourcing team in the United States. You will develop models from prototype to production, implement MLOps practices, and collaborate across teams to apply model inferences to our Sourcing product, helping employers connect with talent.

The role emphasizes training and evaluating language models, with strong Python/SQL skills and a background in ML frameworks. A bachelor’s degree is required, with potential advanced degrees.