Machine Learning Engineer, Offline Infrastructure (Entry-Level New Grad PhD)

The opportunity
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. As data volume and complexity grow our platform enables large-scale model training feature generation and experimentation workflows that power production ML systems.

Were looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent PhD graduate who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems.

Youll help build and evolve the infrastructure that powers training data generation ML workflows and distributed model training. Working closely with experienced engineers and researchers youll contribute to systems that ensure our ML pipelines are reliable scalable and efficient.

This role offers the opportunity to bridge research and productiontranslating advanced ideas into systems that operate at scale.

What youll be doing

• 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

What were looking for

• PhD 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
• 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

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

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.

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 worlds 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 .

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.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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.

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