Join Justworks as a Senior Machine Learning Engineer

At Justworks, we foster a welcoming and casual environment where team members benefit from comprehensive wellness programs, company retreats, and opportunities to interact with and learn from leaders in the startup community. We value our most prized asset—our people— and we are dedicated to helping businesses thrive by allowing them to focus on their core operations. We solve HR issues, are data-driven, and continuously iterate for improvement. If you're seeking to work in a supportive, entrepreneurial environment and want to build something meaningful while having fun, we'd love to hear from you.

Our Company Values

We at Justworks are united by shared goals and motivations. Our company values are embodied in our product and our team, making us a unique and dynamic place to work.

About the Role

Who You Are: As a Senior Machine Learning (ML) Engineer at Justworks, you will be a key player in deploying, scaling, and optimizing our ML/GenAI models. This role demands a strong technical foundation in machine learning operations and an innovative, problem-solving mindset. You'll collaborate with data scientists, software developers, and product managers to elevate our AI capabilities and ensure they align with business objectives.

Your role will bridge the gap between data science and engineering, ensuring our AI-driven innovations are robust, scalable, and seamlessly integrated into both our internal and external operations and products.

Your Responsibilities

Model Deployment: Lead the deployment of ML/AI/GenAI models into production, ensuring they are scalable and well-integrated with existing systems.

Performance Monitoring: Implement and maintain monitoring systems for AI models in production to ensure they meet accuracy and efficiency standards.

Pipeline Development: Develop and optimize ML pipelines for continuous training and deployment, incorporating best practices in automation and CI/CD methodologies.

Innovation and Research: Stay updated on the latest AI and ML advancements, especially in generative models, and implement cutting-edge solutions.

Cross-functional Collaboration: Work closely with various teams to understand their needs and leverage generative AI for solving complex business problems.

Compliance and Security: Ensure that all AI operations comply with data privacy laws and company policies, implementing robust security measures to protect data integrity.

Your Success Profile

As a Senior ML Engineer, your success will be built on:

• Good Judgment: Effective problem-solving, risk assessment, and ownership of outcomes.
• Teamwork and Communication: Effective collaboration, empathy, and relationship-building.
• Influence and Leadership: Knowledge-sharing, mentorship, and forward-thinking leadership.
• Skills and Knowledge: Continuous learning and application of domain knowledge and best practices.

All Justworkers focus on aligning their behaviors with our core values known as COGIS:

• Camaraderie: Working together toward a shared goal with respect and fun.
• Openness: Sharing information and being receptive to feedback and new possibilities.
• Grit: Demonstrating perseverance and commitment to get the job done well.
• Integrity: Being honest, forthright, and leading by example.
• Simplicity: Keeping things as simple as possible, but no simpler.

Qualifications

• Minimum of 7 years of professional hands-on experience in Machine Learning
• At least 2 years of experience with ML and GenAI platform capabilities using modern cloud technologies (e.g., Snowflake, dbt, Fivetran, Databricks)
• Highly proficient in SQL and Python, with a strong understanding of computer science fundamentals and distributed systems
• Experience with SQL and noSQL databases
• Expertise in Amazon Web Services (AWS), focusing on serverless technologies, infrastructure-as-code, and multi-account organizations
• Proficiency in building and maintaining CI/CD pipelines (CircleCI, GitHub Actions) and containerization (e.g., Docker)
• Excellent communication and technical writing skills, with the ability to manage stakeholders and internal customers effectively