Senior Machine learning engineer, AI Authoring

Unity Technologies SF

Mountain View (CA)

On-site

USD 180,000 - 250,000

Full time

48 hours ago

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Benefits offered by this job

Health insurance

Stock options

Retirement plans

Generous vacation

Parental leave

Commuter subsidy

Wellbeing programs

Job summary

Unity Technologies SF is seeking a Senior Machine Learning Engineer to lead the development of next-generation intelligence systems for gaming. You will own the end-to-end architecture, build pipelines, and scale a cross-disciplinary team of engine developers, game developers, and ML engineers to address market forecasting, outcome prediction, and multimodal content understanding.

You will define and drive engineering practices for the agentic era, partner with product teams to translate expert

Qualifications

Game engine or game development experience.
Production ML systems ownership from data to serving.
Experience in performance marketing/ad-tech modeling.
Strong background in probabilistic prediction and calibration.
Experience building LLM-based agent systems in production.
Experience in zero-to-one environments.

Responsibilities

Own end-to-end ML platform architecture for game intelligence.
Lead data ingestion, semantic layer, feature stores, model registry, evaluation, and serving.
Define engineering practices for the agentic era and evaluation methodologies.
Collaborate with cross-functional teams to translate judgment into training signals.
Shape roadmap with product team.

Skills

Game engine development

Production ML systems

Agentic systems end-to-end

Performance marketing modeling

Probabilistic prediction & calibration

LLM-based agent systems

Tools

BigQuery

ClickHouse

Kafka

Postgres

pgvector

Claude Agent SDK

Codex

Job description

The opportunity

Unity is building next-generation intelligence systems for gaming: systems that help AI-native teams understand the market and get the most out of the frontier models.

We are hiring a Senior Machine Learning Engineer to lead this effort. You will own the end-to-end architecture, build pipelines, systems, and models, and scale a cross-disciplinary team of engine developers, game developers, and machine learning engineers. The work spans market forecasting, outcome prediction, multimodal content understanding, evaluation, and agentic systems.

What you'll be doing

Technical Excellence

Work on our Game Intelligence ML platform, from data ingestion, semantic layer and feature stores through model registry, evaluation and serving.

Make the calls that keep every model output reproducible and auditable: versioned data snapshots, model and prompt versions, and cost tracked per decision.

Define, lead, and spearhead engineering practices for the agentic era, including agentic development workflows and evaluation methodologies.

Partner with different functional teams and disciplines to translate expert human judgment into training signals. Shape the roadmap with the product team.

Modeling

Build predictors of commercial outcomes for games such as user acquisition cost, lifetime value and return on ad spend from large, noisy, multi-source signals.
Build forecasting models over market signals that detect emerging demand and estimate when a window opens, peaks and closes.
Deliver every prediction as a calibrated range with stated confidence, and own the ranking and portfolio logic that turns predictions into recommendations within a budget.

Experimentation and agentic systems

Design online experimentation with guardrails, safe exploration and clear human decision points.
Build evaluation harnesses for LLM-based agents, including automated playtesting and multimodal assessment of generated content.
Orchestrate frontier-model agents in production with strict data boundaries and cost control.

Calibration and measurement

Own the feedback loop that scores predictions against realized outcomes and corrects bias, coverage and signal weighting over time.
Make the system report its own error in plain language so that creators and internal stakeholders can trust it.

What we're looking for

Deep experience in Game, Game Engine development or Game publishing.
Experience in machine learning with a track record of owning production ML systems or Agentic systems end to end, from data to serving to measured business outcome.
Deep experience in performance marketing or ad-tech modeling: predicting acquisition cost, lifetime value, return on ad spend, retention or comparable outcomes.
Strong grounding in probabilistic prediction and calibration: quantile or interval prediction, coverage, bias correction and backtesting of forecasts.
Experience building LLM-based agent systems in production: orchestration, evaluation harnesses, prompt and model versioning, and cost control.
Comfort building in a zero-to-one environment.

You might also have

Experience in mobile game user acquisition, LiveOps or monetization, on the studio or publisher side.
Experience with Unity game engine, or with automated and bot-driven playtesting.
Time-series and demand forecasting experience over noisy, multi-source market signals.
Experience with the Claude Agent SDK, Codex or similar frameworks for multi-agent software production.
Hands-on experience with BigQuery, ClickHouse, Kafka, Postgres, pgvector or their equivalents.
Publications or open-source contributions in forecasting, causal inference, calibration or agentic systems.

This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate's relevant experience, professional background, and skill set.

Benefits

At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: