Machine Learning Engineer

Day to Day

The Machine Learning Engineer I role partners closely with business partners across various functions to help execute strategic initiatives that increase revenue, drive operational scale, and improve efficiency for continuous growth. As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source packages and research publications, and creatively adapt models for solving business problems across Indeed.

Work spans classical ML through LLM systems. You improve search and retrieval quality using real user signals. Execution includes experiments, iteration, and production reliability  collaborate with engineers, data scientists, and product teams to define problems, test approaches, and ship measurable improvements.

• Build AI/ML systems for search, ranking, and recommendations
• Develop LLM retrieval and generation workflows
• Improve search and ranking relevance
• Design metrics and run experiments
• Monitor model quality, latency, and cost
• Debug data, models, and system issues
• Build training, inference, and eval pipelines

• Requires a Bachelor's degree in Computer Science, Mathematics, or Statistics, and a minimum of 2 years of related experience; or an advanced degree without experience
• Experience building ML models in Python; solid software engineering and algorithms fundamentals
• Experience developing backend services in Java/Kotlin for ML-driven systems and features
• Experience writing clean, testable, and maintainable production code
• Experience working with structured and unstructured data, including SQL for large-scale data querying, and building scalable data pipelines and features from data
• Experience integrating ML models into search systems using engines such as Open Search or similar, with familiarity in container orchestration for deployment with senior guidance
• Excellent understanding of model evaluation techniques, feature engineering, experiment design, and familiarity with LLM systems (RAG, embeddings, output evaluation)

• Tier 1 - United States of America 118, USD per year
• Tier 2 - United States of America 130, USD per year
• Tier 3 - United States of America 143, USD per year
• Tier 4 - N/A
• Tier 5 - United States of America 163, USD per year

The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.

Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site (), and recruiters can confirm how location is considered for a specific role.

Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro‑diversity, disability, age, or veteran status, or any other non‑merit based or legally protected grounds.

Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit  If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.

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