Senior Machine Learning Engineer, Unity
Ads Demand Optimization
$183.7-248.6k
More information about location
Game development platform
Be an early applicant
Game development platform
1001+ employees
Be an early applicant
$183.7-248.6k
More information about location
1001+ employees
Company mission
Democratize game development and enable everyone to create rich interactive content.
Role
Who you are
- Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, or a related field—or equivalent practical experience
- Strong foundation in:
- Reinforcement learning, contextual bandits, and exploration-exploitation strategies
- Auction theory, mechanism design, and multi-objective optimization
- Probabilistic modeling, causal inference, and counterfactual evaluation
- Online learning, off-policy evaluation, simulation, and A/B testing
- Proficiency with Python and common ML libraries (e.g., PyTorch, TensorFlow, JAX); experience with data processing (e.g., Spark, SQL) and experiment platforms
- Demonstrated ability to translate business objectives into robust algorithmic solutions and measurable outcomes
- 3+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems
What the job involves
- The Unity Ads Demand Optimization team plays a critical role in this effort
- We build systems and algorithms for auction and bidding to optimize on behalf of advertisers, with consideration of multiple factors (e.g. objective, budget, target ROAS and so on)
- We design optimized solutions for campaign products to improve advertisers' experience
- We are seeking skilled MLEs to design and implement AI-native demand optimization algorithms and systems
- You will own end-to-end solutions that power autobidding, auction mechanics, and reinforcement learning strategies for ads and games
- This role is highly cross-functional and impact-driven, working closely with product, engineering, and scientists to deliver measurable improvements in delivery efficiency, revenue, and user experience
- You'll architect and implement automated bidding strategies to improve delivery efficiency
- Design, prototype, and productionize new bidding algorithms and products, including model training, policy evaluation, and guardrail enforcement
- Develop and refine auction mechanisms that balance multiple objectives under constraints
- Build exploration frameworks and reinforcement learning strategies for cold-start scenarios (new ads/new games), including contextual bandits, off-policy evaluation, and online learning
- Own the full lifecycle: problem framing, data instrumentation, modeling, simulation, experimentation, and deployment with continuous monitoring and iteration
Our take
Unity Technologies is one of the world's leading game engines. The platform helps artists and developers in gaming to render 3D worlds in real time.
In recent years Unity has expanded its scope by bringing its technology to new industries, including car companies, and film and TV studios who are using Unity to manage production virtually. Having completed an IPO in 2020, Unity’s capabilities are also being used by companies such as Apple and Android to create better AR experiences.
In 2021, 72% of the top 1000 mobile games and 50% of games across mobile, PC and console were made with Unity. Having completed substantial post-IPO funding in 2025, the company now operates on over 20 different platforms, is active in 190+ countries and territories across the world and continues to develop its technologies and capabilities.
Freddie
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
May 2019
$125m
SERIES E
Jun 2018
$145m
SERIES D
Total funding: $893.5m
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Matthew Bromberg
(CEO)Currently on the Board of Directors for Bumble. Previously Senior Advisor at Blackstone, was on the Board of Directors at Monzo and was the COO of Zynga.
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