Machine Learning Engineer I

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

Day to Day

As a Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You’ll be collaborating with a cross-functional product team to drive value and better customer experiences for our Sourcing product, which connects employers with new talent through AI. This MLE will help us improve our automated outreach quality, building new agentic experiences, and LLMOps reliability and infrastructure.

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 / Competencies

• Requires a 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.

Salary Range Transparency

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 Disclaimer

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 (https://www.indeed.com/careers/paytiers), and recruiters can confirm how location is considered for a specific role.

Benefits - Health, Work/Life Harmony, & Wellbeing

We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at https://www.indeed.com/careers/benefits !

Equal Opportunities and Accommodations Statement

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 https://www.indeed.com/careers/accommodations. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.

For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (https://www.indeed.com/careers).