Join Unitary: Making the Internet a Safer Place

Unitary is on a mission to create a safer internet to improve lives and foster a fairer world. As a rapidly growing start-up, we develop cutting-edge AI models that automatically detect and classify harmful online content. Our unique AI technology leverages human moderation's accuracy in video classification with the speed and scalability of automated detection. This innovative approach enables us to address real-world problems in content moderation and beyond.

With about $25M in VC funding from top-tier investors like Creandum and Plural, Unitary operates at a significant scale, analyzing millions of images and videos daily from the world's largest platforms. However, our journey is just beginning, and we are enthusiastic about our future growth plans!

Your Next Role: Senior Machine Learning Operations Engineer (Remote)

We are seeking a Senior Machine Learning Operations Engineer to help build and enhance our Machine Learning Platform, ensuring it keeps pace with best-in-class models in the field. Your expertise in ML Operations will be crucial to transforming our machine learning approach and advancing our technological capabilities.

Key Responsibilities

• Design, develop, and operate a new ML Data platform that scales with our product strategy and addresses current limitations.
• Define and manage tables and transformations in Delta Lake to support data and ML pipelines.
• Design, implement, and optimize APIs for ML model deployment.
• Collaborate with ML Engineers and product teams to integrate machine learning models into production environments.
• Ensure AI services' reliability, observability, availability, and performance.
• Make key decisions on implementing machine learning and computer vision, shaping Unitary's future.

Requirements

We are looking for someone who shares our passion for Unitary's mission, eager to make a significant impact at an early-stage start-up, and excited to define Unitary's future. We need adaptable individuals ready to tackle various tasks, learn, and grow with us.

The ideal candidate is a proactive Machine Learning expert, unafraid to present and try new ideas, and comfortable leading change management efforts. A product mindset and genuine curiosity for solving customer challenges are essential.

Preferred Qualifications

• Strong Python and Data Engineering skills with comprehensive experience in implementing production-orchestrated ML pipelines.
• Ability to design and implement robust performance data architectures, engaging a broad audience on their effective use.
• Passion for uncovering and addressing developer pain points with effective tooling solutions.
• Experience creating new inference/training pipelines and frameworks for product ML models, including generative models like LLMs, VLMs, and LAMs.
• Knowledge of deploying infrastructure through K8s, with some hands-on deployment experience.
• Enjoys collaborating in team environments where collective achievements are valued over individual contributions.
• Willingness to travel to London quarterly for company offsites.

Additional Preferred Experience

• Experience in a fully remote, international team.
• Previous start-up experience.
• Knowledge of CI/CD practices and tools like GitHub Actions.
• Proficiency with SQL and NoSQL databases.
• Familiarity with Kubernetes and infrastructure as code (IaC) tools such as Terraform.
• Experience with LLMs and a keen interest in the latest AI advancements.

This role reports to the VP of Engineering and can be located anywhere within 3 hours of the UK time zone.

Benefits and Perks

Unitary is a remote-first, Europe-based team of 20+ passionate individuals dedicated to making the internet a safer place. We strive to build a company with happy, kind, and collaborative people achieving extraordinary things together. Our culture is based on trust, transparency, and self-leadership.

Working at Unitary

We are committed to fostering a positive and inclusive culture focused on well-being. Our market-leading benefits include:

• Flexible hours and location
• Competitive salary and equity package
• Occupational pension
• Generous paid parental leave
• Generous paid sick leave
• Annual budget for