6 days ago
Base Salary
$141k - $232k/yr
Responsibilities
- Build and maintain data and feature pipelines for machine-learning training datasets and experimentation.
- Develop infrastructure for distributed training workflows.
- Build and operate multi-stage ML pipelines using workflow orchestration tools.
- Contribute to model-serving and deployment infrastructure that moves models reliably into production.
- Improve reproducibility and reliability through monitoring, alerting, dataset validation, and testing.
- Own projects end-to-end from design through rollout and investigate inconsistent issues across pipelines and training systems.
- Collaborate with ML engineers, researchers, managers, directors, and partner teams while communicating progress and tradeoffs.
Requirements
- Production experience building ML infrastructure, data platforms, or distributed systems.
- Strong Python skills and experience with data-intensive workloads.
- Hands-on experience with ML frameworks such as PyTorch and distributed compute systems such as Ray or Spark.
- Experience with data pipelines, model-training workflows, or large datasets beyond academic settings.
- Ability to work across multiple layers of the ML stack and learn new tools and systems quickly.
- Ability to identify patterns in ambiguous problems and translate them into practical technical requirements.
- Clear communication and collaborative working style.
- Bachelor’s degree in Computer Science, Machine Learning, Systems, or a related field, or equivalent practical experience.
- Preferred experience with Kubernetes, GCP or AWS, Prometheus, Grafana, Airflow, Prefect, Triton, KServe, Ray Serve, Kafka, feature stores, or experimentation platforms.
Benefits
- Comprehensive health, life, and disability insurance, commute subsidy, retirement or pension plans, vacation and personal days, parental and family-care leave, mental health support, employee assistance, and employee resource groups.
- Employee stock ownership, office food and snacks, training and development programs, volunteering and donation matching.
- Benefits and eligibility vary by country and employment status; the posting lists Zone A, Zone B, and Zone C geographic base-salary ranges.
Tech Stack
Apache AirflowApache KafkaApache SparkAWSGoogle Cloud PlatformGrafanaKubernetesPrometheusPythonPyTorch
Categories
Data EngineeringML Engineering
About Unity
Unity is a public software company that builds the Unity real-time 3D engine and services for creating, operating, and monetizing games and interactive 3D content across mobile, PC, console, and XR. It sells subscription licenses and usage-based services such as cloud build, ads, and analytics to studios and enterprises in gaming, automotive, film, and AR/VR. Founded in 2004 and headquartered in San Francisco, it trades on the NYSE (U).