{"schemaVersion":"jobsearcher.job.v1","id":"4d3abbc3fdcd05f2e2abdfe1","url":"https://jobsearcher.com/jobs/4d3abbc3fdcd05f2e2abdfe1","canonicalUrl":"https://jobsearcher.com/jobs/4d3abbc3fdcd05f2e2abdfe1","title":"Applied AI Software Engineer","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.\nHybrid role: 3 days/week in office\nRole Overview\nAs a Staff Machine Learning Engineer at MediaAlpha, you will lead the design and development of LLM-powered applications for our internal teams and ad serving platform. You will be accountable for end-to-end systems: owning strategy, architecture, implementation, and operations. You will collaborate with engineering, product, and business stakeholders to deliver intelligent systems that solve real business problems.\nThe ideal candidate is a strong engineer with hands-on experience building LLM-powered applications in production, who works well across organizational boundaries and improves the conditions of any area they are in. We are an intentionally small organization, designed for agility, speed, and workability.\n\nResponsibilities\nOwn the full software development lifecycle of LLM-powered systems, from requirements through production deployment and operational health.\nDesign and implement retrieval-augmented generation (RAG) systems, tool-use patterns, and multi-step reasoning workflows.\nIntegrate LLM-based services into MediaAlpha's products, internal tools, and data ecosystem.\nDrive architectural decisions balancing capability, cost, latency, and maintainability.\nEstablish evaluation frameworks and metrics to measure application quality and business impact.\nWork directly with stakeholders to define product capabilities and develop new features and integrations.\nBe a champion of instilling excellence in coding, testing, and quality into the team and culture.\nMentor engineers on LLM application development patterns and best practices.\n\nRequirements\n9+ years of experience in software development.\nExperience designing and owning systems end-to-end, including 3-tier architectures, data flows, APIs, deployments, and operational health.\nStrong programming skills in Python, including software engineering methodologies and best practices.\nHands-on experience building LLM-powered features in production.\nExperience with RAG architectures, including vector databases, embedding models, and retrieval strategies.\nPractical prompt engineering skills with demonstrated ability to iterate and evaluate quality.\nFamiliarity with core ML concepts (classification, evaluation metrics, embeddings) and the judgment to know when traditional ML approaches outperform LLM-based solutions.\nExperience with agent frameworks and tool-use patterns (MCP, function calling, etc.).\nFamiliarity with cloud environments (AWS preferred: EC2, S3, Bedrock).\nA self-starter who works independently, is comfortable with ambiguity, and pays careful attention to detail.\nExperience collaborating with engineers and non-technical stakeholders.\nAbility to articulate and communicate clearly, concisely, and thoughtfully.\nOrganized and self-motivated.\nB.S. required, preferably in a technical discipline (e.g., computer science).\n\nCompensation & Benefits\nWe are excited to offer a total base compensation of $170,000 to $260,000 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:\n\nAnnual bonus program and participation in our Restricted Stock Unit program\n100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner\n100% Employer paid long term disability, and life insurance\n401(k) retirement plan with matching contributions to help you plan for your future\nOpen Paid Time Off policy with a Birthday Hookie day off, 13 holidays, and 5 Recharge days\nProfessional development reimbursement along with a subscription to LinkedIn Learning\nCell Phone, Wellness, and Internet expense reimbursement, along with a subscription to the Calm App\n100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver\nDog-friendly offices (LA and AZ) along with a $300 pet adoption reimbursement\n\nDiversity, Equity, and Inclusion\nMediaAlpha 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.\nFair Chance\nMediaAlpha 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.","company":"Mediaalpha","rawCompany":"mediaalpha","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T14:51:05.065Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Applied AI Software Engineer","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.\nHybrid role: 3 days/week in office\nRole Overview\nAs a Staff Machine Learning Engineer at MediaAlpha, you will lead the design and development of LLM-powered applications for our internal teams and ad serving platform. You will be accountable for end-to-end systems: owning strategy, architecture, implementation, and operations. You will collaborate with engineering, product, and business stakeholders to deliver intelligent systems that solve real business problems.\nThe ideal candidate is a strong engineer with hands-on experience building LLM-powered applications in production, who works well across organizational boundaries and improves the conditions of any area they are in. We are an intentionally small organization, designed for agility, speed, and workability.\n\nResponsibilities\nOwn the full software development lifecycle of LLM-powered systems, from requirements through production deployment and operational health.\nDesign and implement retrieval-augmented generation (RAG) systems, tool-use patterns, and multi-step reasoning workflows.\nIntegrate LLM-based services into MediaAlpha's products, internal tools, and data ecosystem.\nDrive architectural decisions balancing capability, cost, latency, and maintainability.\nEstablish evaluation frameworks and metrics to measure application quality and business impact.\nWork directly with stakeholders to define product capabilities and develop new features and integrations.\nBe a champion of instilling excellence in coding, testing, and quality into the team and culture.\nMentor engineers on LLM application development patterns and best practices.\n\nRequirements\n9+ years of experience in software development.\nExperience designing and owning systems end-to-end, including 3-tier architectures, data flows, APIs, deployments, and operational health.\nStrong programming skills in Python, including software engineering methodologies and best practices.\nHands-on experience building LLM-powered features in production.\nExperience with RAG architectures, including vector databases, embedding models, and retrieval strategies.\nPractical prompt engineering skills with demonstrated ability to iterate and evaluate quality.\nFamiliarity with core ML concepts (classification, evaluation metrics, embeddings) and the judgment to know when traditional ML approaches outperform LLM-based solutions.\nExperience with agent frameworks and tool-use patterns (MCP, function calling, etc.).\nFamiliarity with cloud environments (AWS preferred: EC2, S3, Bedrock).\nA self-starter who works independently, is comfortable with ambiguity, and pays careful attention to detail.\nExperience collaborating with engineers and non-technical stakeholders.\nAbility to articulate and communicate clearly, concisely, and thoughtfully.\nOrganized and self-motivated.\nB.S. required, preferably in a technical discipline (e.g., computer science).\n\nCompensation & Benefits\nWe are excited to offer a total base compensation of $170,000 to $260,000 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:\n\nAnnual bonus program and participation in our Restricted Stock Unit program\n100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner\n100% Employer paid long term disability, and life insurance\n401(k) retirement plan with matching contributions to help you plan for your future\nOpen Paid Time Off policy with a Birthday Hookie day off, 13 holidays, and 5 Recharge days\nProfessional development reimbursement along with a subscription to LinkedIn Learning\nCell Phone, Wellness, and Internet expense reimbursement, along with a subscription to the Calm App\n100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver\nDog-friendly offices (LA and AZ) along with a $300 pet adoption reimbursement\n\nDiversity, Equity, and Inclusion\nMediaAlpha 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.\nFair Chance\nMediaAlpha 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.","datePosted":"2026-08-03T14:51:05.065Z","dateModified":"2026-08-03T14:51:05.065Z","hiringOrganization":{"@type":"Organization","name":"Mediaalpha","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4d3abbc3fdcd05f2e2abdfe1"},"url":"https://jobsearcher.com/jobs/4d3abbc3fdcd05f2e2abdfe1"}}