Machine Learning Engineer, New Grad

About the role

Unity Vector builds an offline ML 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. We are seeking a Machine Learning Engineer to join our Offline Infrastructure team.

Responsibilities

• Build and maintain data pipelines that generate training datasets for machine learning models and experimentation
• Contribute to infrastructure that supports distributed training workflows (e.g., PyTorch, Ray)
• Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines
• Improve reproducibility and reliability through dataset validation, monitoring, and testing
• Partner with ML engineers to support experimentation and model iteration
• Help optimize performance and efficiency across data processing and training systems
• Contribute to the evolution of our offline ML platform architecture as it scales

Requirements

Bachelor's degree in Computer Science, Machine Learning, Systems, or a related field

Strong foundation in machine learning systems, distributed systems, or large-scale data processing (through research or projects)

Experience with Python and working with data-intensive workloads

Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark)

Experience (academic or applied) with data pipelines, model training workflows, or large datasets

Strong problem-solving skills and ability to translate research ideas into practical systems

Interest in building scalable, reliable infrastructure for machine learning

Qualifications

Nice to Have:

• Experience with workflow orchestration systems (Airflow, Flyte, etc.)
• Exposure to large-scale data platforms (data lakes, warehouses, streaming systems)
• Publications or research in ML systems, distributed systems, or related areas

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

Pay

Base Salary Range: We determine the base salary range for this role based on your primary work location.

Mountain View, SF/Bay: $117,000 - $152,000 gross USD
Bellevue, Seattle, NYC, Remote CA: $104,100 - $135,300 gross USD

The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.

Schedule

Not specified