Staff Machine Learning Engineer
1 day ago
Rippling is a unified workforce platform that connects all business systems to one source of truth for employee data. By automating manual work, businesses can streamline processes and improve efficiency.
The RoleWe are seeking a highly skilled and experienced Staff+ Machine Learning Engineer to join our team. As an engineer working on large language models (LLMs), you will collaborate with cross-functional teams to build tools that drive innovation in our products and services.
Key Responsibilities- Design and develop scalable machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation.
- Implement models in our production code base (primarily Python, Go).
- Stay up-to-date with the latest research in ML and related fields, and apply this knowledge to improve Rippling products.
- Ph.D. or equivalent in Computer Science, Engineering, Mathematics, or related field AND 5 or more years full-time Software Engineering work experience; OR 5 years full-time Software Engineering work experience, which includes 4+ years of software engineering experience in one or more of the following areas: advertising, recommendation systems, risk/fraud modeling, or natural language processing.
- Comfortable with hands-on programming (e.g., Python, Go, Java, C/C++).
- Ability to communicate complex technical ideas with clarity and precision.
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics.
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a 40-mile radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.
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