Senior Machine Learning Engineer, Advertiser Growth (AI)

Location: Mountain View, CA, USA

Annual gross base salary: $148,700–$244,600 USD

Company

hirify.global develops a game engine and 3D creation platform used across games, XR, web, automotive, manufacturing, and healthcare, and operates an advertising network reaching billions of devices.

What you will do

• Design and ship multi-objective campaign optimization algorithms for installs, ROAS, retention, and spend efficiency under budget and marketplace constraints.
• Develop exploration–exploitation strategies, including bandits and reinforcement learning, balancing short-term performance with long-term advertiser value.
• Develop methodologies and surrogate metrics for measuring the long-term impact of model and product changes.
• Define metrics frameworks and launch criteria connecting model improvements with advertiser outcomes and business results.
• Build LLM-based agent systems for campaign diagnostics, setup recommendations, root-cause analysis, and configuration changes.
• Act as a technical subject matter expert for ML, Product, and Engineering partners and ensure quantitative rigor through live production auctions.

Requirements

• Experience in machine learning, data science, or applied research, ideally in ad tech, marketplaces, or other large-scale optimization domains.
• MS or PhD in Computer Science, Statistics, Operations Research, Economics, or an equivalent quantitative field.
• Ability to design competing-objective optimization algorithms, exploration–exploitation strategies, long-term impact measurement methodologies, and launch metrics frameworks.
• Hands-on experience building LLM-based agentic systems, including tool use, orchestration, retrieval over domain data, and agent-quality evaluation.
• Strong programming skills in Python or Scala and experience with large-scale data processing frameworks such as Spark, Snowflake, or BigQuery.
• Track record of shipping ML systems operating on high-volume, real-time data and delivering measurable business impact.
• Ability to translate complex quantitative concepts into product roadmaps and mentor engineers on modeling and optimization rigor.
• Sufficient English proficiency for frequent professional verbal and written communication with colleagues and partners worldwide.

Nice to have

• Experience with dynamic ads or creative optimization, including dynamic creative assembly, creative ranking and selection, or generative creative pipelines.
• Hands-on experience with bidding, pricing, pacing, or auction systems in digital advertising.
• Familiarity with long-term value prediction and surrogate metric design in mobile gaming or digital advertising.
• Production experience with reinforcement learning or contextual bandits.
• Experience fine-tuning or evaluating LLMs or building multi-agent orchestration frameworks.

Culture & Benefits

• Health, life, and disability insurance, with offerings varying by country and employment status.
• Commute subsidy, employee stock ownership, and retirement or pension plans.
• Generous vacation and personal days, parental leave, and family-care programs.
• Mental health and wellbeing programs, employee resource groups, and a global employee assistance program.
• Training and development programs, volunteering support, donation matching, and office food and snacks.