Senior Machine Learning Engineer – Agentic LLMs at MediaAlpha

Bellevue, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Dec, 25

Salary

220000.0

Posted On

17 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, Prompt Design, Agentic AI Frameworks, MLOps, Fine-Tuning, Retrieval-Augmented Generation, Reinforcement Learning, Cloud Environments, Software Engineering Practices, Collaboration, Communication Skills, Mentoring, Self-Motivated, Organized

Industry

Advertising Services

Description

MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more. Hybrid: 2 days/week Role Overview We are looking for a talented Senior Machine Learning Engineer to join our technology team with a focus on agentic large language model (LLM) applications. In this role, you will help define, design, and implement intelligent systems that leverage modern LLMs to power automation, reasoning, and decision-making at scale. As a senior member of the team, you’ll work closely with stakeholders to shape product capabilities, drive architectural decisions, and establish best practices for applied ML/LLM development. You’ll be a hands-on contributor, a thought leader for how MediaAlpha applies LLMs responsibly and effectively, and a mentor to others. Responsibilities Own the full development lifecycle of building and deploying ML-powered agentic LLM applications. Design and implement frameworks for orchestrating multi-step reasoning, tool use, and decision-making with LLMs. Integrate LLM-based services into MediaAlpha’s products and data ecosystem. Collaborate across engineering, product, and data science teams to ensure solutions align with business needs. Lead technical discussions on system architecture, model evaluation, prompt engineering, and scaling strategies. Champion coding best practices, high-quality engineering, and continuous improvement within the team. Contribute to maintaining and supporting production ML/LLM systems. Requirements 5+ years of experience in software engineering, machine learning. Strong proficiency in Python and experience building ML systems in production. Strong proficiency in prompt design and agentic AI frameworks (e.g., LangChain, Semantic Kernel, or similar). Familiarity with MLOps practices and tooling (e.g., model deployment, monitoring, observability) Familiarity with fine-tuning, RAG (retrieval-augmented generation), or reinforcement learning with LLMs. Familiarity with cloud environments (AWS preferred: EC2, S3, CloudFront, Route 53). Solid foundation in software engineering practices, including testing, code quality, and version control. Experience collaborating with technical and non-technical stakeholders. Excellent communication skills with the ability to explain complex technical ideas simply and clearly. Experience mentoring and leading other ML engineers, fostering technical growth and knowledge-sharing within a team. Organized, self-motivated, and comfortable with ambiguity. Compensation & Benefits We are excited to offer a competitive base pay range of $126,000 to $220,000 per year for this position, based on experience and qualifications. But that's not all - as a valued member of our team, you will also have access to an array of top-notch benefits, including: Annual bonus program and participation in our Restricted Stock Unit program 100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner 100% Employer paid long term disability, and life insurance 401(k) retirement plan with matching contributions to help you plan for your future Open Paid Time Off policy with a birthday day off and 11 holidays Professional development reimbursement Cell Phone, Wellness, and Internet expense reimbursement, along with a subscription to the Calm App 100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver Dog-friendly offices (LA and AZ) along with a $300 pet adoption reimbursement Diversity, Equity, and Inclusion MediaAlpha is committed to fostering, cultivating, and maintaining a culture of diversity, equity, and inclusion. Our philosophy and actions are built on the premise that as an employer and citizens of our communities, we can create opportunities for lasting change. Fair Chance MediaAlpha will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local "Fair Chance" laws. We are also committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans in our application process. If you need assistance or an accommodation due to a disability, please contact us at peopleops@mediaalpha.com or (213) 316-6256.

Responsibilities

The Senior Machine Learning Engineer will own the full development lifecycle of building and deploying ML-powered agentic LLM applications. They will design frameworks for orchestrating reasoning and decision-making with LLMs and collaborate with various teams to align solutions with business needs.