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Indeed

Machine Learning Engineer I

Indeed
Remote Remote $118k - $245k/yr Full time Posted 7d ago
Agent Orchestration Agentic Systems AI Ai Ml Artificial Intelligence Deep Learning Generative AI Llm Observability Machine Learning Machine Learning Engineer Ml Ops TensorFlow Xgboost
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Job Description

Build and deploy machine learning and AI capabilities for Indeed’s Sourcing team, with a focus on production reliability and LLMOps.

Responsibilities

  • Develop a range of machine learning models, moving from prototype stages to production
  • Apply best practices for model evaluation, monitoring, and MLOps
  • Work with cross-functional teams on model inference and product applications for Sourcing
  • Contribute to code review and process improvements for software engineers and Machine Learning Engineers, and document your work
  • Use technical and product thinking to drive ownership of team priorities and Indeed’s mission to help people get jobs

Requirements

  • Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field plus at least 2 years of related experience; or an advanced degree with no experience
  • Experience with agent orchestration frameworks and LLM observability tools
  • Strong domain knowledge for training, fine-tuning, and evaluating language models
  • Knowledge and practical experience with ML/LLM/Deep Learning models (for example: Torch, Tensorflow, Huggingface, XGBoost)
  • Python and SQL programming experience

Tech Stack

  • Python
  • SQL
  • Torch
  • Tensorflow
  • Huggingface
  • XGBoost
  • LLM observability tools
  • Agent orchestration frameworks

Salary Range

  • Tier 1 (United States of America): $118,000 - $176,000 USD per year
  • Tier 2 (United States of America): $130,000 - $196,000 USD per year
  • Tier 3 (United States of America): $143,000 - $215,000 USD per year
  • Tier 4 (United States of America): N/A
  • Tier 5 (United States of America): $163,000 - $245,000 USD per year

Salary Range Transparency: The range reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the midpoint. Actual compensation depends on job-related skills, experience, and expertise evaluated during the interview process. The range(s) is one component of Indeed’s total compensation package. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and region-specific benefits. Compensation can vary by location, which is grouped into geographic pay tiers. Candidates can view geographic pay tiers at https://www.indeed.com/careers/paytiers, and recruiters can confirm how location is considered for a specific role.

Benefits

  • Medical, dental, vision, disability, and life insurance
  • Enrollment in the company’s 401(k) plan
  • Equity-based incentive program
  • Open paid time off
  • 11 paid holidays a year
  • Up to 26 weeks of paid parental leave
  • Paid time off policy

Location

  • Remote

Apply

  • Deadline to apply: 8/17/2026
  • Job postings may be extended at the hiring team’s discretion based on application volume
  • Reference ID: 47241

AI Notice

  • Indeed uses artificial intelligence (AI) tools to assist in screening, assessment, and selection of applicants by analyzing information provided in resumes and applications
  • AI use does not replace human decision-making
  • Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as defined in applicable laws

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