Sr. Machine Learning Engineer

LE130 Unity Technologies SF; Mountain View (CA); On-site; USD 141,000 - 232,000; Full time

Benefits offered by this job

Comprehensive health coverage

Employee stock ownership

Generous vacation and personal days

Commute subsidy

Retirement plans

Job summary

Unity Technologies SF is seeking a Machine Learning Engineer for its ML Engineering Infrastructure team. You will build the platform powering ML across the company, from data pipelines to distributed training and model serving.

You will work across the full ML stack and deliver end-to-end projects with initiative and collaboration. The role emphasizes strong Python expertise, production ML experience, and learning new tools quickly.

Qualifications

• Experience building ML infrastructure, data platforms, or distributed systems in production.
• Strong Python skills and data-intensive workloads.
• Hands-on experience with ML frameworks (e.g., PyTorch) and distributed compute (Ray, Spark).
• Experience with data pipelines, model training workflows, or large datasets beyond academic settings.

Responsibilities

• Build and maintain data and feature pipelines that generate training datasets for ML models and experimentation.
• Develop and improve infrastructure for distributed training workflows.
• Build and operate multi-stage ML pipelines using workflow orchestration tools (Airflow, Prefect).
• Contribute to model serving and deployment infrastructure for moving models from training to production.
• Improve reproducibility and reliability across the stack via monitoring, dataset validation, and testing.
• Tackle end-to-end projects from design to rollout with sound judgment.

Skills

Python

ML infrastructure

Distributed systems

Data pipelines

Communication

Self-learning

Education

Bachelor's degree in CS/ML/Systems or equivalent

Tools

PyTorch

Ray

Spark

Kubernetes

Airflow/Prefect

Triton/KServe/Ray Serve

Prometheus/Grafana

Job description

The opportunity Unity's ML Engineering Infrastructure team builds the platform that powers machine learning across the company, from feature generation and training data pipelines to distributed training, experimentation, and model serving. We're looking for a Machine Learning Engineer to help build the platform behind our product intelligence, production ML models, and the teams that develop them. Operating at scale across batch and streaming data, our systems power large-scale training, feature generation, and experimentation. You'll work across the full ML infrastructure stack, from data and feature pipelines to distributed training, orchestration, serving, and observability, going wherever the team needs you most. This role suits someone curious and eager to learn who picks up new tools quickly. Working closely with your manager and experienced engineers, you'll take on well‑scoped projects and deliver them end‑to‑end using your own judgment, keeping both the day‑to‑day details and the broader direction of the platform in view.

What you'll be doing

• Build and maintain data and feature pipelines that generate training datasets for machine learning models and experimentation
• Develop and improve infrastructure for distributed training workflows
• Build and operate multi‑stage ML pipelines using workflow orchestration tools
• Contribute to model serving and deployment infrastructure, helping models move reliably from training into production
• Improve reproducibility and reliability across the stack through monitoring, alerting, dataset validation, and testing
• Take on projects scoped with your manager and carry them through end‑to‑end, from design to rollout, using your own judgment along the way
• Investigate uncommon or inconsistent issues across pipelines and training systems, recognize the patterns behind them, and turn them into concrete improvements
• Keep both the hands‑on details and the bigger picture in mind, delivering on immediate needs while moving the platform in the right direction
• Partner with ML engineers, researchers, and peers across teams, and share progress and tradeoffs with managers and directors
• Pick up new tools and new parts of the stack as team priorities shift

What we're looking for

• Experience building ML infrastructure, data platforms, or distributed systems in production
• Strong Python skills and experience working with data‑intensive workloads
• Hands‑on experience with ML frameworks (e.g., PyTorch) and distributed compute (e.g., Ray, Spark)
• Experience with data pipelines, model training workflows, or large datasets beyond academic settings
• Comfortable working across several layers of the ML stack, with a track record of learning new tools and systems quickly
• Ability to spot patterns in ambiguous or inconsistent problems and translate them into practical technical needs
• Clear communication and a collaborative approach with peers, managers, and partner teams
• Bachelor's degree in Computer Science, Machine Learning, Systems, or a related field, or equivalent practical experience

Nice to Have

• Experience with Kubernetes and cloud infrastructure (GCP or AWS)
• Experience with observability tooling (e.g., Prometheus, Grafana)
• Experience with workflow orchestration systems (Airflow, Prefect, etc.)
• Experience with model serving frameworks (e.g., Triton, KServe, Ray Serve)
• Exposure to large‑scale data platforms (data lakes, warehouses, streaming systems such as Kafka)
• Familiarity with feature stores or experimentation platforms

Additional Information

Zone A: $178,700 - $232,300 Zone B: $159,100 - $206,800 Zone C: $140,700 - $182,900 This range reflects the anticipated base salary for this position.

Benefits

• 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.

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.

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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. At Unity, we’re committed to creating a workplace that fosters collaboration and teamwork that allows you to harness your unique skills. Join us in creating industry tools to help creators of all levels bring their projects to reality. Learn more about our culture and values, and get a head start by reading about how our hiring process works.