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

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. We’re 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. You'll help build and evolve the infrastructure that powers training data generation, ML workflows, and distributed model training. Working closely with experienced engineers and researchers, you’ll contribute to systems that ensure our ML pipelines are reliable, scalable, and efficient. What you’ll 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 we’re 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 offer a wide range of benefits designed to support well‑being and work‑life balance. While specific benefits vary, we provide 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; and volunteering and donation matching program. 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 let us know. 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. Your privacy is important to us. If you have any concerns about your privacy, please contact us at View email address on click.appcast.io. *Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors. Gross pay salary: $112,700—$169,100 USD #J-18808-Ljbffr Dormont Manufacturing Company