Senior Machine Learning Engineer, Data Infrastructure

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

Benefits offered by this job

Health insurance

Commuter subsidy

Employee stock ownership

Competitive retirement/pension plans

Generous vacation and personal days

Parental leave programs

Office snacks

Mental Health and Wellbeing programs

Employee Resource Groups

Global Employee Assistance Program

Training and development programs

Volunteering and donation matching

Job summary

Unity Technologies SF is seeking a Senior Machine Learning Engineer, Data Infrastructure, to design and evolve the offline data platform for large-scale model datasets and experiments. You will partner with ML engineers and platform teams to ensure reliability, scalability, and cost efficiency of data pipelines.

The role emphasizes building infrastructure for batch and streaming processing, training data generation, and end-to-end workflow orchestration using tools like Flyte and Airflow.

Qualifications

• Experience with distributed computing frameworks for batch/stream processing.
• Building infrastructure for training data generation or ML feature pipelines.
• Optimizing large-scale data pipelines for cost and performance.
• Strong Python programming and handling large-scale workloads.
• Familiarity with data lakes, warehouses, orchestration systems, and streaming platforms.
• Ability to guide architectural decisions across teams without formal authority.

Responsibilities

• Develop infrastructure supporting batch and streaming data processing.
• Design pipelines to generate training datasets for ML training and experimentation.
• Integrate pipelines with workflow orchestration systems for multi-stage training workflows.
• Improve reproducibility and observability with validation, monitoring, and tests.
• Optimize resource usage across distributed compute environments.
• Collaborate with ML engineers to enable large-scale experimentation and model iteration.
• Lead architectural improvements for scalable, reliable offline data pipelines.

Skills

Python

Distributed computing

Data pipelines

ML data generation

Tools

Flink

Spark

Ray

Flyte

Airflow

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.

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.

• 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 Unit