Senior Machine Learning Engineer

Indeed; United States; Remote; USD 138,000 - 289,000; Full time

Benefits offered by this job

401k plan

Equity-based incentives

Open paid time off

Job summary

Indeed is seeking a Senior Machine Learning Engineer to design, deploy, and operate ML/LLM solutions for our Sourcing product. You will collaborate with cross-functional teams to deliver scalable AI-powered features that connect employers with talent.

The role emphasizes prompt optimization, model evaluation, and production monitoring, with opportunities to mentor other engineers and shape ML system design.

Qualifications

• Bachelor’s degree in CS/Math/Statistics or related field with several years of experience.
• Experience deploying ML/LLM solutions in large-scale production systems.
• Strong knowledge of data structures and algorithms.
• Ownership and accountability in technical and product domains.
• Familiarity with agent orchestration frameworks and LLM observability tools.
• Experience with modern ML/LLM tooling (Torch, TensorFlow).
• Experience with production monitoring for predictive/LLM systems.
• Excellent written and verbal communication.

Responsibilities

• Autonomously deliver ML and AI projects, including prompt development and evaluation, training ML models, building LLM-as-a-Judge capabilities, and building recommendation / ranking systems
• Develop LLM and machine learning model improvements, scale them in production, and run iterative A/B tests to improve our Sourcing product
• Estimate potential business impact of AI and ML and balance tradeoffs between delivery velocity and systematic infrastructure investments
• Collaborate with cross-functional partners, including Machine Learning Engineers, Data Scientists, Software Engineers, Product, and UX designers/researchers
• Define and implement evaluation, observability, and production monitoring approaches for ML and LLM-based systems
• Serve as a trusted partner and communicator for cross-functional and cross-team counterparts, translating technical concepts to facilitate productive collaboration
• Mentor other Machine Learning Engineers, Data Scientists, and Software Engineers on the team

Skills

ML deployment

LLM tooling

Prompt optimization

LLM observability

Communication skills

Education

Bachelor’s degree in CS/Math/Statistics or related field

Tools

PyTorch

TensorFlow

Job description

Our Mission

As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

(*Comscore, Total Visits, March 2026)

Day to Day

As a Senior 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 Senior MLE will help us improve our automated outreach quality, building new agentic experiences, and LLMOps reliability and infrastructure.

Responsibilities

• Autonomously deliver ML and AI projects, including prompt development and evaluation, training ML models, building LLM-as-a-Judge capabilities, and building recommendation / ranking systems
• Develop LLM and machine learning model improvements, scale them in production, and run iterative A/B tests to improve our Sourcing product
• Estimate potential business impact of AI and ML and balance tradeoffs between delivery velocity and systematic infrastructure investments
• Collaborate with cross-functional partners, including Machine Learning Engineers, Data Scientists, Software Engineers, Product, and UX designers/researchers
• Define and implement evaluation, observability, and production monitoring approaches for ML and LLM-based systems.
• Serve as a trusted partner and communicator for cross-functional and cross-team counterparts, translating technical concepts to facilitate productive collaboration.
• Mentor other Machine Learning Engineers, Data Scientists, and Software Engineers on the team

Skills/Competencies

• Requires a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD without experience
• Prior success in deploying impactful Machine Learning and/or LLM-based solutions to large-scale production systems
• Solid knowledge of data structures and algorithms
• Demonstrated sense of ownership and accountability as a key contributor in the technical and product domains
• Familiarity with agent orchestration frameworks, LLM observability tools, and prompt optimization techniques (e.g. GEPA)
• Knowledge of and practical experience working on Deep Learning libraries (like Torch, Tensorflow, etc.) and modern ML/LLM tooling
• Familiarity with modern ML system design, including evaluation, experimentation, and production monitoring for predictive and LLM-based systems
• Excellent written and verbal communication, effective with technical and business audiences

Salary Range Transparency

• Tier 1 - United States of America 138,000 - 208,000 USD per year
• Tier 2 - United States of America 154,000 - 230,000 USD per year
• Tier 3 - United States of America 169,000 - 253,000 USD per year
• Tier 4 - United States of America N/A
• Tier 5 - United States of America 193,000 - 289,000 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).

Inclusion & Belonging

Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.

We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.

Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.

Reference ID: 47790

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