Unity Tech
Media, Gaming & EntertainmentDirect Workday career site

Staff Machine Learning Engineer

Pay
$218,400 – $283,900 per year
Location
Mountain View, CA · On-site
Job type
Full-time
Level
Lead / Staff
Listed
30 days ago

Skills & highlights for this role

  • Python
  • probabilistic prediction and calibration
  • LLM agent orchestration
  • model evaluation harnesses
  • time-series forecasting

Also useful

  • Unity game engine
  • Claude Agent SDK

About the role

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 Staff 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 leadership Set the technical vision and architecture for our 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. Mentor engineers from different backgrounds. 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 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.

Pay and benefits

Experience in machine learning with a track record of owning production ML 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.

Strong Python and modern ML tooling, plus solid data systems fundamentals across a relational store, a columnar analytics store and an event stream. Proven ability to drive technical direction across teams, mentor senior engineers, and influence decisions without formal authority. 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 or another 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.

Base Salary Range: We determine the base salary range for this role based on your primary work location: Zone A: $218,400 - $283,900 Zone B: $194,100 - $252,300 Zone C: $172,200 - $223,900 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: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world's leading game engine, powering play for more than 3 billion consumers each month.

The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D - closing the gap between ideas and reality.

Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes.

  • Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
  • Your privacy is important to us.
  • Please take a moment to review our Prospect and Applicant Privacy Policies.
  • Should you have any concerns about your privacy, please contact us at.
Read the original posting

From Unity Tech's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Staff Machine Learning Engineer role at Unity Tech, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

  • See how you fit

    Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.

  • Tailor without inventing

    Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.

  • Draft the full kit

    Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.

  • 1-Click Extension Autofill

    The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.

Common questions

What is the salary for the Staff Machine Learning Engineer role at Unity Tech?

The Staff Machine Learning Engineer posting at Unity Tech states compensation of $218,400 – $283,900 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Unity Tech's official career site.

Where is the Staff Machine Learning Engineer job at Unity Tech located?

This Staff Machine Learning Engineer position at Unity Tech is located in Mountain View, CA (On-site). Always check Unity Tech's application page for specific state eligibility or relocation policies.

What qualifications are required for Staff Machine Learning Engineer at Unity Tech?

For the Staff Machine Learning Engineer role, Unity Tech highlights experience with Python, probabilistic prediction and calibration, LLM agent orchestration, model evaluation harnesses, time-series forecasting. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Staff Machine Learning Engineer position at Unity Tech?

This listing links directly to Unity Tech's Workday application page. You can apply directly on Unity Tech's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.