Senior Machine Learning Engineer, Data Infrastructure

LE130 Unity Technologies SF; Mountain View (CA); On-site; USD 210,000 - 273,000; Full time

Benefits offered by this job

Health insurance

Commuter subsidy

Stock options

Retirement plans

Vacation & personal days

Parental leave

Snacks & meals

Wellbeing programs

ERGs

Training & development

Volunteering & matching

Job summary

Unity Technologies SF is seeking a Senior Machine Learning Engineer, Data Infrastructure, to design and evolve the offline data platform that enables model training and experimentation at scale. You will build reliable pipelines for training data generation and orchestrate workflows with Flyte or Airflow.

You will partner with ML engineers to improve observability, performance, and cost efficiency across distributed systems, guiding architectural decisions to keep pipelines scalable and robust.

Qualifications

• Experience with distributed computing frameworks (Flink, Spark, Ray) for data processing.
• Experience building infrastructure for training data generation or ML feature pipelines.
• Experience optimizing big data pipelines for cost efficiency.
• Strong Python programming skills for large-scale workloads.
• Experience with modern data infrastructure (data lakes, warehouses, orchestration systems, streaming platforms).
• Strong systems thinking for performance, scalability, reliability, and cost tradeoffs.

Responsibilities

• Develop infrastructure supporting batch and stream big data processing using Flink, Spark, Ray, etc.
• Design and operate large-scale data pipelines that generate training datasets for ML training and experimentation
• Integrate data pipelines with workflow orchestration systems (Flyte, Airflow) for multi-stage training workflows
• Improve reproducibility and observability of data pipelines via dataset validation, monitoring, and automated testing
• Optimize performance and resource utilization across distributed compute systems
• Partner with ML engineers to enable efficient large-scale experimentation and model iteration
• Lead architectural improvements to keep offline data pipelines scalable, reliable, and cost-efficient

Skills

Distributed computing

Python

Data pipelines

ML data infra

Tools

Flink

Spark

Ray

Airflow

Flyte

Job description

Senior Machine Learning Engineer, Data Infrastructure

Unity Vector builds an Data platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company. Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform also supports large-scale model training, feature generation, and experimentation workflows that power production ML systems. To support this growth, we need strong technical ownership to ensure our ML pipelines remain reliable, scalable, and architecturally sound.

The Role

We are seeking a senior data infra engineer to design and evolve the large-scale offline platform. This role focuses on building reliable infrastructure for generating data infrastructure, training datasets, and orchestrating data workflows. You will work closely with ML engineers and platform teams to ensure our pipelines can efficiently handle growing data volumes and increasingly complex training workloads. You will play a key role in shaping how model datasets are prepared to ensure the reliability, scalability, and performance of our data platform.

What You’ll Do

• Develop infrastructure that supports both batch and stream big data processing using technologies such as Flink, Spark, Ray, etc.
• Design and operate large-scale data pipelines that generate training datasets used for machine learning training and experimentation
• Integrate data pipelines with workflow orchestration systems (e.g., Flyte, Airflow, or similar) to enable reliable multi-stage training workflows
• Improve reproducibility and observability of data pipelines through dataset validation, monitoring, and automated testing
• Optimize performance and resource utilization across distributed compute systems used for data processing
• Partner closely with ML engineers to enable efficient large-scale experimentation and model iteration
• Lead architectural improvements to ensure our offline data pipelines remain scalable, reliable, and cost-efficient

What We’re Looking For

• Experience working with distributed computing frameworks such as Flink, Spark, Ray for distributed data processing
• Experience building infrastructure for training data generation, dataset preparation, or ML feature pipelines
• Experience optimizing big data pipelines and infrastructure for cost efficiency
• Strong programming skills in Python and experience working with large-scale distributed workloads
• Experience with modern data infrastructure (data lakes, warehouses, orchestration systems, streaming platforms)
• Strong systems thinking, with the ability to reason about performance, scalability, reliability, and cost tradeoffs in distributed systems
• Proven ability to lead technical direction and influence architectural decisions across teams without formal authority

Additional information

Zone A: $210,300 - $273,400 Zone B: $187,200 - $243,300 Zone C: $165,600 - $215,200 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.

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. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. 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.