Senior Machine Learning Engineer

Are you driven to solve new problems with big data and technology? Do you love using your creativity and technical skills to build innovative solutions to make a meaningful impact? Are you passionate about building AI and data science into customer workflows to maximize the value of software? So are we!

In this role, you will be hands-on working within Data Science, ML, and LLMs. Your primary responsibility will be to evangelize these fundamentals across the company by engaging in technical discussions with engineering and business partners. You will contribute to innovation by bringing new ideas to the table and addressing challenging and unsolved problems. As a crucial part of the team, you will contribute to the growth of yourself and others through mentorship. Your focus will include modernizing ML infrastructure, creating new patterns for deploying AI solutions, scaling machine learning capabilities, and integrating math-based features into our product, all while working with smart and collaborative colleagues.

Join us in leveraging big data to foster more equitable workplaces, uncovering the root cause of bias in compensation and promotion policies, and scaling the expertise within our company using AI.

• Design, develop, and deploy ML algorithms and models, focusing on continuous improvement and integration.
• Partner with data scientists to transform prototypes into high-performance production models.
• Overhaul and upgrade the existing data science platform to ensure it's scalable, efficient, and up-to-date.
• Utilize GCP tools, notably VertexAI and BigQuery, for deploying, monitoring, and scaling ML models.
• Ensure the machine learning solutions are cloud-compatible and optimized for performance.
• Apply knowledge of generative AI techniques to develop innovative solutions and features.
• Stay updated with the latest advancements in generative AI and incorporate relevant ones into our platform.
• Work closely with application engineers to integrate ML functionalities into apps and ensure seamless deployment of ML code in a production environment.
• Implement best practices for version control, testing, and continuous integration/continuous deployment (CI/CD).
• Design and implement complex big data ETLs to drive core functionalities of our products.
• Locate and define new process improvement opportunities for our data products.
• Implement responsible AI practices in every feature, including end-to-end observability.

• You are eager to learn, share knowledge and ideas, and grow with our team.
• You want to own and drive initiatives within Syndio that leverage and build your skills and interests.
• You assume positive intent, are humble and eager, expect the best from yourself, value partnership over perfection, and provide grace and understanding in stressful situations.
• You value a remote work environment and know that it requires greater intentionality on your part to build and maintain strong working relationships.
• Hands on experience building and deploying production-level code for SaaS.
• You are an expert with Docker, Kubernetes, and scaling machine learning solutions.
• Professional experience in machine learning engineering, data science, or a related role.
• Advanced knowledge of Python and software development best practice.
• Extensive knowledge of GCP tools, especially VertexAI and BigQuery.
• Solid understanding of the complete machine learning development lifecycle.
• Adept at working in a fast-paced, dynamic environment.
• Bonus: experience building statistical models and deep understanding of math.
• Bonus: experience in the HR tech space.
• Bonus: experience deploying generative AI in a production environment.