Machine Learning Engineer I

Join Indeed’s Sourcing team to build and deploy ML and AI systems that improve automated outreach quality and support agentic experiences with dependable LLMOps infrastructure.

Responsibilities

• Develop a variety of machine learning models from prototype to production
• Implement best practices for evaluation, monitoring, and MLOps
• Collaborate with cross-functional teams on model inference and product applications for the Sourcing product
• Participate in code review and process innovation with software engineers and Machine Learning Engineers
• Document work and contribute to team knowledge sharing
• Apply technical and product thinking, with ownership of team priorities and Indeed’s mission to help people get jobs

Requirements

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

Technical skills / technologies

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

Compensation

• Salary range: USD 118,000 to 245,000 per year
• 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 disclaimer: The salary range reflects minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation is determined based on job-related skills, experience, and expertise during the interview process. The range(s) listed are 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 may vary by location and 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 401k 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 (remote)

Additional info

• Reference ID: 47241
• Apply by: 8/17/2026
• Job postings may be extended at the hiring team’s discretion based on applicant volume

AI notice: Indeed uses artificial intelligence (AI) tools to assist in screening, assessment, and selection of applicants for this position by analyzing information provided in resumes and applications. Human decision-making is not replaced by AI. Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as defined in applicable laws.